Archiwum dla Czerwiec, 2010

Tygodniowy newsletter “CUDA: Week in Review.” – 25.06.2010

Napisany przez e-on w Aktualności dnia 29.06.2010

CUDA: Week in Review

Friday, June 25, 2010, Issue #27
WELCOME
Welcome to “CUDA: Week in Review,” a weekly newsletter for the worldwide CUDA and GPU Computing community.
CUDA NEWS
CUDA Toolkit 3.1
Today NVIDIA released version 3.1 of the CUDA Toolkit, providing developers with improved performance and programming flexibility.  Features include access to CUDA memory for third party devices as well as new SDK code samples.
–Download CUDA Toolkit 3.1 at www.nvidia.com/getcuda
New CUDA Seminars
If you’ve been looking for a good reason to visit the French Riviera, be sure to check out:
Hybrid Cloud Computing with NVIDIA GPUs and ProActive Parallel Suite
Date: July 8
Where: INRIA, University of Nice, Sophia Antipolis, France
Register: http://www-sop.inria.fr/manifestations/cpcc2010/
Learn more about INRIA: http://www-sop.inria.fr/index_fr.php
Learn more about ProActive Parallel Suite: http://www.activeeon.com/
And if you are in the mood for London, consider this:
NVIDIA Bio Workbench and AMBER 11
Date: July 8
Where: Imperial College, London
Guest speakers: Dr. Ross Walker (UCSD) and Dr. Ian Gould (ICL)
Sponsored by: Petapath, SuperMicro, NVIDIA
Register: http://www.petapath.com/nvidia/index.php
Learn more about AMBER 11: http://ambermd.org/
Learn more about NVIDIA Bio Workbench: www.nvidia.com/object/tesla_bio_workbench.html
CUDA APPS
StreamBase – Taking Wall Street to the Next Level
StreamBase Systems announced this week in New York that it is working with NVIDIA to offer best-of-breed computing capability for the capital markets. Firms whose traders and quants want to rapidly test out new trading strategies against large amounts of historical data can now combine StreamBase technology with NVIDIA Tesla GPUs to accelerate time to deployment.

“Advanced technologies are taking Wall Street to the next level,” said Richard Tibbetts, CTO at StreamBase. “This partnership underscores the technical revolution in the financial industry.”

“When you’re talking about trading where microseconds make a difference, the extra hops within the server can make a difference,” said Kevin McPartland, Senior Analyst at TABB group. “We are seeing renewed interest in GPU technology not only for options, but also for multi-asset analytics.”
AccelerEyes – Achieving Maximum Performance with GPUs
AccelerEyes has posted a video and slide deck from the recent webinar “Rapid Application Development Platform for GPGPUs: Jacket with MATLAB”. AccelerEyes enables scientists, engineers and analysts to transform serial applications into high-performance GPU-enabled versions. See: http://www.accelereyes.com/company/jacketwebinar
CUDA ZONE
New on CUDA Zone: Phase-Based Volume Registration Using CUDA
Authors: Anders Eklund, Mats Andersson, Hans Knutsson; Linkoping Univ., Sweden
Application Domain: Medical Imaging
Extract: “We present a method for fast phase-based registration of volume data for medical applications…. We achieve a speedup of 10-30X compared to our CPU implementation, which makes fast phase-based registration possible for large medical volumes.” Presented at IEEE ICASSP Conference 2010. See: http://is.gd/d2Jgg
CUDA Zone: Have a CUDA-related app or paper? Let us know when you post it on CUDA Zone and we’ll send you a CUDA t-shirt!
CUDA JOB OF THE WEEK
Dolby in Silicon Valley is looking for a video encoding engineer. Prerequisite: Expert knowledge of H.264 and video base-band processing, and implementation of these in consumer and PC products. Requires intimate familiarity with architecture-specific optimizations such as x86, GPGPU/OpenGL, CUDA. See: http://careers.dolby.com//detail.asp?jobid=dolby1676
CUDA EDUCATION
GPU Computing Webinars (CUDA C, OpenCL, Parallel Nsight and more…)
See webinar schedule: http://developer.nvidia.com/object/gpu_computing_online.html. Upcoming events include:
– Intro to MainConcept’s CUDA H.264/AVC Encoder, Tuesday, June 29, 2010,
9:00 a.m. pacific
– Intro to OpenCL Development with gDEBugger CL, Tuesday, July 6, 2010, 9:00 a.m. pacific
CUDA Summer School
Europe
Barcelona Computing Week: Programming and Tuning Massively Parallel Systems
– When: July 5-9
– Where: Barcelona Supercomputing Center, Universitat Politecnica de Catalunya, Spain
– Instructors: Wen-mei Hwu, UIUC and David Kirk, NVIDIA fellow
– See: http://bcw.ac.upc.edu/

CUDA Programming on GPUs
– When: July 26-30
– Where: University of Oxford, U.K.
– Instructors: Prof. Mike Giles
– See: http://www.oerc.ox.ac.uk/events/course-on-cuda-programming%202010.

U.S.
Proven Algorithmic Techniques for Many-Core Processors
– When: Aug. 2-6
– Where: Choice of onsite locations, or online
– Instructors: Wen-Mei Hwu, UIUC and David Kirk, NVIDIA fellow
– See: https://hub.vscse.org

Workshop on GPU Programming for Molecular Modeling
– When: Aug. 6-8
– Where: Beckman Institute for Advanced Science & Tech, UIUC
– Instructors: John Stone, Jim Phillips, David Hardy, Kirby Vandivort of UIUC
– See: http://www.ks.uiuc.edu/Training/Workshop/GPU_Aug2010/
CUDA Training
– CUDA training from Acceleware

July 26-30, Cambridge, Mass: www.acceleware.com/jul26cambridge (with Microsoft)
August 2-6, New York City: www.acceleware.com/aug02newyork (with Microsoft)
Sept. 13-17, Calgary: www.acceleware.com/sep13calgary

– CUDA training from SagivTech

CUDA course: July 12-14, Ra’anana, Israel
GPU/Image Processing course: Aug. 2-4, Ra’anana, Israel
CUDA/Image Processing course: Sept. 27-29, San Francisco (following GTC)
See: http://www.sagivtech.com/24054.html

– CUDA training from EMPhotonics

On-site standard and customized training programs
See: http://www.emphotonics.com/services/cuda-training
CUDA Research and Certification
NVIDIA has launched new programs for GPU Computing developers. For more info, see:
http://www.nvidia.com/object/io_1275409333119.html
CUDA and Academia
Over 350 universities are teaching CUDA and GPU Computing courses.
CUDA Center of Excellence Program
The CUDA Center of Excellence (CCOE) Program recognizes universities that are expanding the frontier of massively parallel computing using CUDA. See: http://research.nvidia.com/content/cuda-centers-excellence
CUDA CALENDAR
– High Performance Graphics 2010

June 25-27, Saarbrucken, Germany
http://www.highperformancegraphics.org

– GPUs in Chemistry and Materials Science

June 28-30, Univ. of Pittsburgh
http://www.sam.pitt.edu/education/gpu2010.register.php

– NVIDIA Bio Workbench and AMBER 11

July 8, Imperial College London
July 16, University of Manchester
http://www.petapath.com/nvidia/index.php

– Hybrid Cloud Computing with NVIDIA GPUs and ProActive Parallel Suite

July 8, INRIA, University of Nice, Sophia Antipolis, France
http://www-sop.inria.fr/manifestations/cpcc2010/

– Symposium on Application Accelerators in High-Performance Computing
(SAAHPC 2010)

July 13-15, University of Tennessee at Knoxville (registration closes July 1)
http://saahpc.ncsa.illinois.edu/register

– Parallel Symbolic Computation 2010 (PASCO)

July 21-23, Grenoble, France
http://pasco2010.imag.fr/contest.html

– SIGGRAPH

July 25-29, Los Angeles
http://www.siggraph.org/s2010/

– Virtual School of Comp. Science & Engineering Summer School

Aug. 2-6, choice of onsite locations
https://hub.vscse.org

– Symposium on Chemical Computations on GPGPUs

Aug. 22-26, Boston
http://illinois.edu/lb/article/2101/36281

– Unconventional High Performance Computing 2010 (UCHPC 2010)

Aug. 31-Sept. 1, Italy
http://www.lrr.in.tum.de/~weidendo/uchpc10/

– GPU Technology Conference (GTC) 2010

Sept. 20-23, San Jose, Calif.
http://www.nvidia.com/gtc (register today, space is limited)

– Supercomputing 2010

Nov. 13-19, New Orleans, LA
http://sc10.supercomputing.org/

– IEEE International Parallel & Distributed Processing Symposium

May 16-20, 2011, Anchorage, AL
http://www.ipdps.org/

(To list an event, email: cuda_week_in_review@nvidia.com)
CUDA RESOURCES
CUDA Articles in Dr. Dobb’s
– Supercomputing for the Masses, Part 18: http://is.gd/cs6b9
– Supercomputing for the Masses, Part 17: http://is.gd/cs6eI
– Supercomputing for the Masses, Part 16: http://is.gd/citaC
– Supercomputing for the Masses, Part 15: http://is.gd/citnJ
CUDA Books
– Programming Massively Parallel Processors by D. Kirk, W. Hwu: http://is.gd/7bNYP
– See additional books here: http://www.nvidia.com/object/cuda_books.html
CUDA Toolkit
– Download CUDA Toolkit 3.0: http://bit.ly/aKCENp
– OpenCL v1.1 pre-release drivers and SDK code samples are available to GPU
Computing registered developers. Log in or apply for an account to download.
CUDA Documentation
– Download developer guides and documentation:
http://developer.nvidia.com/object/gpucomputing.html
NVIDIA Parallel Nsight
– Download the Parallel Nsight Beta: www.nvidia.com/nsight
– Download the Parallel Nsight Beta Release Notes: http://bit.ly/9iEYMs
CUDA ON THE WEB
– Check out the NVIDIA Research site: http://research.nvidia.com
– Read previous issues of CUDA: Week in Review: http://is.gd/cBXbg
– Follow CUDA & GPU Computing on Twitter: www.twitter.com/gpucomputing
– Network with other developers: www.gpucomputing.net
– Stayed tuned to GPGPU news and events: www.gpgpu.org
– Learn more about CUDA on CUDA Zone: www.nvidia.com/cuda
– Watch CUDA on YouTube: http://www.youtube.com/nvidiacuda
About CUDA
CUDA is NVIDIA’s parallel computing hardware architecture. NVIDIA provides a complete toolkit for programming on the CUDA architecture, supporting standard computing languages such as C, C++, and Fortran as well as APIs such as OpenCL and DirectCompute.
Copyright © 2010 NVIDIA Corporation. All rights reserved. 2701 San Tomas Expressway, Santa Clara, CA 95050.

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Wizualizacja TOP 500 superkomputerów.

Napisany przez e-on w Aktualności dnia 25.06.2010

Co dwa lata jest udostępniana lista 500 największych superkomputerów. Dla szybszego zapoznania się z najszybszymi na świecie rozwiązaniami obliczeniowymi lub dowiedzieć się więcej o alternatywnych superkomputerach, zapraszam do odwiedzenia poniższej strony i zapoznania się z wizualizacją:

http://news.bbc.co.uk/2/hi/technology/10187248.stm

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Tygodniowy newsletter “CUDA: Week in Review.” – 18.06.2010

Napisany przez e-on w Aktualności dnia 25.06.2010

CUDA: Week in Review

Friday, June 18, 2010, Issue #26
WELCOME
Welcome to “CUDA: Week in Review,” a weekly newsletter for the worldwide CUDA and GPU Computing community.

Update on GTC 2010 (GPU Technology Conference)
– Sign up today for GTC 2010! (Special code for “CUDA: Week in Review”
readers – GMCUDANEWS10)
– Read our new blog post here
CUDA SPOTLIGHT
The Future of Voice Search – Accelerated by CUDA
We recently read about a “speech indexing” start-up called Nexiwave in a posting on gpgpu.org. We wanted to learn more so we contacted CEO Ben Jiang. Here’s an excerpt from our email interview:

NVIDIA: Ben, what makes speech indexing a compelling application?
Ben: Ninety percent of human communication is through speech. The amount of spoken words that could potentially be indexed and searched is staggering. Skype callers have logged over 100 billion minutes of talk time. Conference call companies are carrying over a billion minutes of calls per month. There are hundreds of millions of podcasts on the web, with 24 hours of video uploaded to YouTube every minute.

The problem is that today’s information retrieval applications, such as internet search, focus on textual content. Information retrieval from speech content still relies primarily on a human’s memory. The objective of speech indexing is to enable us to easily extract information from archived audio and video content. Through the Nexiwave system, an end user can easily search the content and locate the exact location of interest, whether it’s a word, a phrase or a general topic.
NVIDIA: What are some of the potentially big markets for speech indexing?
Ben: Think about the conference calls that happen 24×7 at companies around the world. We’ve all had moments where we thought: “Ahh, John said something really useful in the last call. I wish I could remember exactly what he said.” In the future, with speech indexing-enabled conference calls, we will be able to easily do that via a quick search to locate the exact audio snippet. Another interesting market is call centers, where the ability to do a deep search (not just time of call and phone number) will enable companies to find out what customers are really telling them. Other markets are e-discovery (in the legal field), recorded educational media, podcasts and audio-centric enterprises.
NVIDIA: What stage is your technology in?
Ben: Nexiwave 1.0 was released in October 2009. Nexiwave 2.0, our NVIDIA GPU-enabled version, was released on June 3, 2010 and is in production. We offer a SaaS (software as a service) and cloud computing solution as well as software licenses.
NVIDIA: What is the connection between Nexiwave and CMU Sphinx, the speech recognition system from Carnegie Mellon?
Ben: CMU Sphinx is a very popular open source speech processing engine. Our system is built on top of it with many of our own proprietary improvements, such as CUDA-based acoustic scoring (a total re-write of the core acoustic scoring code). We are one of the major commercial companies contributing to it through code fixes, developer resources and user forum support.
NVIDIA: Where does the GPU fit into this?
Ben: Speech indexing is computationally intensive and has traditionally been very expensive. Speech indexing can be efficiently processed in parallel which means the GPU is a perfect fit for it. The GPU will solve the cost issue associated with indexing vast amounts of audio content quickly and accurately.
NVIDIA: How did you like programming/porting in the CUDA C environment?
Ben: Our experience with programming in CUDA C has been enjoyable. The CUDA Best Practices Guide provided tons of help in performance tuning.
NVIDIA: How does CUDA help you?
Ben: Nexiwave has been able to move 75% of our computing processes (or 11 million computation loops per audio minute) to CUDA C, speeding up our application by more than 75 times. This directly translates into cost reduction (we have released a large number of CPU machines back to our computing provider). The exciting thing about this speedup is that it enables us to move into markets where speech indexing has not been possible before.
For more info, see www.nexiwave.com or email eric@nexiwave.com.
CUDA NEWS
OpenCL v1.1 Drivers and Code Samples Available
OpenCL v1.1 pre-release drivers and SDK code samples are now available to GPU Computing registered developers. Log in or apply for an account to download OpenCL v1.1 today.
CUDA Summer School
Europe
NEW! Professor Mike Giles at the University of Oxford has announced a new CUDA course
– When: July 26-30
– Where: University of Oxford
– Note: A 5-day hands-on course for students, postdocs, academics and others who want
to learn how to develop applications on NVIDIA GPUs using CUDA C.
– See: http://www.oerc.ox.ac.uk/events/course-on-cuda-programming%202010.

Barcelona Computing Week: Programming and Tuning Massively Parallel Systems
– When: July 5-9
– Where: Barcelona Supercomputing Center, Universitat Politecnica de Catalunya, Spain
– Instructors: Wen-Mei W. Hwu, professor of electrical and computer engineering,
Univ. of Illinois, Urbana-Champaign (UIUC) and David Kirk, NVIDIA fellow
– See: http://bcw.ac.upc.edu/

U.S.
NEW! Workshop on GPU Programming for Molecular Modeling
– When: Aug. 6-8
– Where: Beckman Institute for Advanced Science & Tech, UIUC
– Instructors: John Stone, Jim Phillips, David Hardy, Kirby Vandivort of UIUC
– Note: Sponsored by the Theoretical and Computational Biophysics Group, NIH Resource
for Macromolecular Modeling and Bioinformatics (www.ks.uiuc.edu). Participants are
encouraged to attend “Proven Algorithmic Techniques for Many-Core Processors”
the preceding week.
– See: http://www.ks.uiuc.edu/Training/Workshop/GPU_Aug2010/

Virtual School of Computational Science and Engineering: Proven Algorithmic Techniques for Many-Core Processors
– When: Aug. 2-6
– Where: Choice of onsite locations, or online
– Instructors: Wen-Mei W. Hwu, professor of electrical and computer engineering, UIUC
and David Kirk, NVIDIA fellow
– See: https://hub.vscse.org
CUDA APPS
Vicodeo: Accelerated Video Decoding Library for .NET, Python, Java
Vicodeo is a managed library for accelerated video decoding. Features include:
– Faster than real-time video decoding of up to 1080p streams (@30 FPS, Full HD: H.264,
MPEG-2), even on low-end platforms.
– Targets multiple environments and needs, from high-quality/resolution displays to
streaming content at low-quality and resolution.
– Applications: Security/surveillance, live streaming, video conferencing/processing.
– Pure software implementation, CUDA based.
Vicodeo is available through Hoopoe, a project that aims to provide cloud services for GPU computing. Hoopoe provides a general environment for running computations, of any kind and model, on GPU hardware. Users may specify the type of hardware they wish to use during the computation or the system will use the available resources to complete the computation as fast as possible. See: http://www.hoopoe-cloud.com/Solutions/VideoDecoding/Default.aspx
CUDA ZONE
New on CUDA Zone: Design and Performance Evaluation of Image Processing Algorithms on GPUs
Authors: In Kyu Park, Inha Univ., Incheon; Nitin Singhal, Samsung Electronics, Suwon; Man Hee Lee, Inha Univ., Incheon; Sungdae Cho, Samsung Electronics, Suwon; Chris Kim, NVIDIA
Extract: “In this paper, we construe key factors in design and evaluation of image processing algorithms using CUDA. A set of metrics, customized for image processing, are proposed to quantitatively evaluate algorithm characteristics. In addition, we show that a range of image processing algorithms map readily to CUDA using multiview stereo matching, linear feature extraction, JPEG2000 image encoding, and non-photorealistic rendering (NPR) as our example applications…. Analysis is conducted to show the appropriateness of the proposed metrics in predicting the effectiveness of an application for parallel implementation….” Published in IEEE Transactions on Parallel and Distributed Systems, vol. 99, no. 1. See: http://is.gd/cTLtU
CUDA Zone: Have a CUDA-related app or paper? Let us know when you post it on CUDA Zone and we’ll send you a CUDA t-shirt!
CUDA JOB OF THE WEEK
Cray has an opening for a software engineer to join its Programming Environments team. In this role, you will assist in the packaging and release of third party and open source software related to the Cray Programming Environment, as well as software developed in house.
Requirements: B.S. degree (or equivalent) in Computer Science (or similar degree) with at least 2+ years of directly related experience, as well as background in shell scripting languages and knowledge of C, C++ or Java. Understanding of the basics of Fortran and knowledge of CUDA is a plus. See: http://www.cray.com/About/Careers/OpportunitiesSearch.aspx
CUDA EDUCATION
GPU Computing Webinars (CUDA C, OpenCL, Parallel Nsight and more…)
See June webinar schedule: http://www.nvidia.com/object/io_1275409333119.html. Upcoming webinars include:
– Rapid Application Development Platform for GPGPUs – Jacket / MATLAB

Tuesday, June 22, 2010, 8:00 a.m. pacific
Presented by AccelerEyes, developer of Jacket for MATLABsss

– Intro to MainConcept’s CUDA H.264/AVC Encoder

Tuesday, June 29, 2010, 9:00 a.m. pacific
Presented by MainConcept, video and audio codec solutions provider
CUDA Training
– CUDA training from Acceleware

July 26-30, Cambridge, Mass: www.acceleware.com/jul26cambridge (with Microsoft)
August 2-6, New York City: www.acceleware.com/aug02newyork (with Microsoft)
Sept. 13-17, Calgary: www.acceleware.com/sep13calgary

– CUDA training from SagivTech

CUDA course: July 12-14, Ra’anana, Israel
GPU/Image Processing course: Aug. 2-4, Ra’anana, Israel
See: http://www.sagivtech.com/24054.html

– CUDA training from EMPhotonics

On-site standard and customized training programs
See: http://www.emphotonics.com/services/cuda-training
CUDA Research and Certification
NVIDIA has launched new programs for GPU Computing developers. For more info, see:
http://www.nvidia.com/object/io_1275409333119.html
CUDA and Academia
Over 350 universities are teaching CUDA and GPU Computing courses.
CUDA Center of Excellence Program
The CUDA Center of Excellence (CCOE) Program recognizes universities that are expanding the frontier of massively parallel computing using CUDA. See: http://research.nvidia.com/content/cuda-centers-excellence
CUDA CALENDAR
– Parallel Execution of Sequential Programs on Multi-Core Architectures

June 20, Saint-Malo, France
http://cccp.eecs.umich.edu/pespma/cfp.html

– GPGPU Briefing on Financial Services (Microsoft/NVIDIA)

June 21, New York, NY
https://msevents.microsoft.com/CUI/EventDetail.aspx?EventID=1032451443&culture=en-US

– SIFMA Financial Services Tech Expo

June 22-24, New York, NY
http://events.sifma.org/2010/487/event.aspx?id=13584

– High Performance Graphics 2010

June 25-27, Saarbrucken, Germany
http://www.highperformancegraphics.org

– GPUs in Chemistry and Materials Science

June 28-30, Univ. of Pittsburgh
http://www.sam.pitt.edu/education/gpu2010.register.php

– Parallel Symbolic Computation 2010 (PASCO)

July 21-23, Grenoble, France
http://pasco2010.imag.fr/contest.html

– SIGGRAPH

July 25-29, Los Angeles
http://www.siggraph.org/s2010/

– Virtual School of Comp. Science & Engineering Summer School

Aug. 2-6, choice of onsite locations
https://hub.vscse.org (Proven Algorithmic Techniques for Many-Core Processors)

– Symposium on Chemical Computations on GPGPUs

Aug. 22-26, Boston
http://illinois.edu/lb/article/2101/36281

– Unconventional High Performance Computing 2010 (UCHPC 2010)

Aug. 31-Sept. 1, Italy
http://www.lrr.in.tum.de/~weidendo/uchpc10/

– GPU Technology Conference (GTC) 2010

Sept. 20-23, San Jose, Calif.
http://www.nvidia.com/gtc (now accepting proposals from industry and academia)

– Supercomputing 2010

Nov. 13-19, New Orleans, LA
http://sc10.supercomputing.org/

– IEEE International Parallel & Distributed Processing Symposium

May 16-20, 2011, Anchorage, AL
http://www.ipdps.org/

(To list an event, email: cuda_week_in_review@nvidia.com)
CUDA RESOURCES
CUDA Articles in Dr. Dobb’s
– Supercomputing for the Masses, Part 18: http://is.gd/cs6b9
– Supercomputing for the Masses, Part 17: http://is.gd/cs6eI
– Supercomputing for the Masses, Part 16: http://is.gd/citaC
– Supercomputing for the Masses, Part 15: http://is.gd/citnJ
CUDA Books
– Programming Massively Parallel Processors by D. Kirk, W. Hwu: http://is.gd/7bNYP
– See additional books here: http://www.nvidia.com/object/cuda_books.html
CUDA Toolkit
Download CUDA Toolkit 3.0: http://bit.ly/aKCENp
CUDA Documentation
Download developer guides and documentation: http://developer.nvidia.com/object/gpucomputing.html
NVIDIA Parallel Nsight
Download the Parallel Nsight Beta: www.nvidia.com/nsight
Download the Parallel Nsight Beta Release Notes: http://bit.ly/9iEYMs
CUDA ON THE WEB
– Check out the NVIDIA Research site: http://research.nvidia.com
– Read previous issues of CUDA: Week in Review: http://is.gd/cBXbg
– Follow CUDA & GPU Computing on Twitter: www.twitter.com/gpucomputing
– Network with other developers: www.gpucomputing.net
– Stayed tuned to GPGPU news and events: www.gpgpu.org
– Learn more about CUDA on CUDA Zone: www.nvidia.com/cuda
– Watch CUDA on YouTube: http://www.youtube.com/nvidiacuda
About CUDA
CUDA is NVIDIA’s parallel computing hardware architecture. NVIDIA provides a complete toolkit for programming on the CUDA architecture, supporting standard computing languages such as C, C++, and Fortran as well as APIs such as OpenCL and DirectCompute.
Copyright © 2010 NVIDIA Corporation. All rights reserved. 2701 San Tomas Expressway, Santa Clara, CA 95050.

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Materiały z konferencji ISC 2010 – Hamburg

Napisany przez e-on w Aktualności dnia 25.06.2010

Pod poniższym linkiem można znaleźć  materiały z konferencji ISC 2010, która odbyła się w Hamburgu. Zachęcam do zapoznania się z prezentacjami oraz webcastami z tego wydarzenia.

http://www.nvidia.com/object/isc2010.html

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Tygodniowy newsletter “CUDA: Week in Review.” – 11.06.2010

Napisany przez e-on w Aktualności dnia 25.06.2010

CUDA: Week in Review

Friday, June 11, 2010, Issue #25
WELCOME
Welcome to “CUDA: Week in Review,” a weekly newsletter for the worldwide CUDA and GPU Computing community.

Update on GTC 2010 (GPU Technology Conference)
– We are pleased to welcome Adobe, HP, Microsoft, PNY, Supermicro and Dell as GTC
2010 Platinum Sponsors, and Cooley LLP as a GTC 2010 Emerging Companies Summit
Sponsor
– GTC 2010 registration is now open!
– Special code for “CUDA: Week in Review” readers – GMCUDANEWS10
CUDA NEWS
GPU Computing – At the Tipping Point
IEEE Computer Society has published an informative article about GPU Computing by NVIDIA’s John Nickolls and Bill Dally. Here’s the introduction:

“GPU computing is at a tipping point, becoming more widely used in demanding consumer applications and high-performance computing. This article describes the rapid evolution of GPU architectures (from graphics processors to massively parallel many-core multiprocessors), recent developments in GPU computing architectures, and how the enthusiastic adoption of CPU + GPU co-processing is accelerating parallel applications.“

Read full article here: http://www.computer.org/portal/web/computingnow/0610/whatsnew/micro
Learn about MAGMA from the Experts
Professor Jack Dongarra and Dr. Stan Tomov of the University of Tennessee will present a webinar on “The MAGMA Project: Acceleration of Dense Linear Algebra on the GPU” on Monday, June 14 at 9:00 a.m. pacific. MAGMA (Matrix Algebra on GPU and Multicore Architectures) aims to develop a dense linear algebra library similar to LAPACK but for heterogeneous/hybrid architectures, starting with current “Multicore+GPU” systems.
– Prof. Jack Dongarra has a deep background in the development, testing and documentation
of mathematical software. He has contributed to the design and implementation of open
source software including EISPACK, LINPACK, the BLAS, LAPACK, ScaLAPACK,
Netlib, PVM, MPI, NetSolve, Top500, ATLAS, and PAPI. See bio:
http://www.netlib.org/utk/people/JackDongarra/
– Dr. Stan Tomov has been involved in research and development for LAPACK/scaLAPACK,
multicore computing and MAGMA. Research interests include parallel algorithms and high
performance scientific computing. See bio: http://www.cs.utk.edu/~tomov/resume.html
– Sign up for the MAGMA webinar here: https://www2.gotomeeting.com/register/565103979
– This presentation is a feature of NVIDIA’s ongoing series of webinars on GPU Computing
CUDA APPS
Attention Photographers: New Photoshop Plugin Powered by CUDA
Digital Anarchy, provider of software for photographers and digital artists, recently introduced “Beauty Box Photo” skin retouching software – the world’s first CUDA-accelerated Photoshop plugin. The software automatically smoothes skin and removes blemishes, saving photographers hours of time. It identifies skin tones and creates an ‘intelligent mask’ to limit the smoothing effect to skin areas while keeping facial details sharp. Beauty Box Photo gets its render speed from new technology from Toonmation and leverages CUDA for up to 6X faster processing.
– Read about Beauty Box Photo: http://www.digitalanarchy.com/beautyPS/main.html
– Read about Digital Anarchy: http://www.digitalanarchy.com/
– Read about Toonmation: http://toonamation.com/
GPU-Accelerated Imaging and Vision Processing
In March we introduced you to Canada-based DALSA, a leader in machine vision systems. At a recent event in Boston called “The Vision Show,” DALSA announced that GPUs enable the “Sapera Nitrous” product to accelerate image processing for filters, point-to-point, color and other image/vision processing functions. DALSA products are used across applications from solar panel inspection to postal automation.
– Read the press release: http://www.dalsa.com/mv/news/news.aspx?itemID=241
– Learn more about Sapera Nitrous: http://www.dalsa.com/mv/products/Nitrous.aspx
CUDA ZONE
New on CUDA Zone: Acceleration of the Smith-Waterman Algorithm using GPUs
Application Domain: DNA/protein sequence testing
Authors: Ali Khajeh-Saeed, Univ. of Mass at Amherst; Stephen Poole, Oak Ridge National Lab; J. Blair Perot, Univ. of Mass at Amherst
Extract: “Finding regions of similarity between two very long data streams is a computationally intensive problem referred to as sequence alignment. Perhaps the most well known application of sequence matching is the testing of DNA or protein sequences against genome databases. The Smith-Waterman algorithm is a method for characterizing how well two sequences can be aligned…. The results indicate that for large problems a single GPU is up to 45 times faster than a CPU for this application, and the parallel implementation shows linear speed up on up to 4 GPUs.” See: http://is.gd/cJELx
CUDA Zone: Have a CUDA-related app or paper? Let us know when you post it on CUDA Zone and we’ll send you a CUDA t-shirt!
CUDA JOB OF THE WEEK
KLA-Tencor, supplier of process control and yield management solutions, is seeking an algorithm engineer. The ideal candidate will have an M.S. or Ph.D. in Computer Science or Electrical Engineering, with a background in image processing or digital signal processing with an emphasis on computational algorithms, optimization and parallel computing. Experience using SIMD extensions or GPU programming (CUDA/OpenCL) is preferred. See: http://kla-tencor-jobs.blogspot.com/
CUDA EDUCATION
GPU Computing Webinars (CUDA C, OpenCL, Parallel Nsight and more…)
See June webinar schedule: http://developer.nvidia.com/object/gpu_computing_online.html. Upcoming webinars include:

– Intro to the MAGMA Project – Acceleration of Dense Linear Algebra

Monday, June 14, 2010, 9:00 a.m. pacific
Presented by Jack Dongarra and Stan Tomov, University of Tennessee

– Intro to CULA GPU Accelerated Linear Algebra

Tuesday, June 15, 2010, 9:00 a.m. pacific
Presented by EM Photonics, advanced computing solutions provider

– Rapid Application Development Platform for GPGPUs – Jacket / MATLAB

Tuesday, June 22, 2010, 8:00 a.m. pacific
Presented by AccelerEyes, developer of Jacket for MATLAB

– Intro to MainConcept’s CUDA H.264/AVC Encoder

Tuesday, June 29, 2010, 9:00 a.m. pacific
Presented by MainConcept, video and audio codec solutions provider
CUDA Training
– CUDA training from Acceleware

July 26-30, Cambridge, Mass: www.acceleware.com/jul26cambridge (with Microsoft)
August 2-6, New York City: www.acceleware.com/aug02newyork (with Microsoft)
Sept. 13-17, Calgary: www.acceleware.com/sep13calgary

– CUDA training from SagivTech

CUDA course: July 12-14, Ra’anana, Israel
GPU/Image Processing course: Aug. 2-4, Ra’anana, Israel
See: http://www.sagivtech.com/24054.html

– CUDA training from EMPhotonics

On-site standard and customized training programs
See: http://www.emphotonics.com/services/cuda-training
CUDA Research and Certification
NVIDIA has launched new programs for GPU Computing developers. For more info, see: http://www.nvidia.com/object/io_1275409333119.html
CUDA and Academia
Over 350 universities are teaching CUDA and GPU Computing courses. We recently learned about a new course taught at the University of Jordan:

Course name: Parallel Computing
Location: University of Jordan in Amman, Jordan
Instructor: Dr. Walid Abu-Sufah
URL: http://www1.ju.edu.jo/ecourse/abusufah/cpe779_spr10/index.html
Lecture Notes: http://www1.ju.edu.jo/ecourse/abusufah/cpe779_spr10/lectures.htm
CUDA Center of Excellence Program
The CUDA Center of Excellence (CCOE) Program recognizes universities that are expanding the frontier of massively parallel computing using CUDA. See: http://research.nvidia.com/content/cuda-centers-excellence
CUDA CALENDAR
– DoD High Performance Computing Modernization Program (HPCMP) Users Group

June 14-17, Schaumburg, IL
Note: Stan Posey of NVIDIA will be a panelist on “Current and Future Applications Using GPUs, FPGAs and Cell Processors for HPC”
http://www.hpcmo.hpc.mil/community/UGC/ugc2010/index.php

– European Association of Geoscientists & Engineers (EAGE) Conference

June 14-17, Barcelona
http://www.eage.org/events/index.php?eventid=297

– Parallel Execution of Sequential Programs on Multi-Core Architectures

June 20, Saint-Malo, France
http://cccp.eecs.umich.edu/pespma/cfp.html

– GPGPU Briefing on Financial Services (Microsoft/NVIDIA)

June 21, New York, NY
https://msevents.microsoft.com/CUI/EventDetail.aspx?EventID=1032451443&culture=en-US

– SIFMA Financial Services Tech Expo

June 22-24, New York, NY
http://events.sifma.org/2010/487/event.aspx?id=13584

– High Performance Graphics 2010

June 25-27, Saarbrucken, Germany
http://www.highperformancegraphics.org

– GPUs in Chemistry and Materials Science

June 28-30, Univ. of Pittsburgh
http://www.sam.pitt.edu/education/gpu2010.register.php

– Parallel Symbolic Computation 2010 (PASCO)

July 21-23, Grenoble, France
http://pasco2010.imag.fr/contest.html

– SIGGRAPH

July 25-29, Los Angeles
http://www.siggraph.org/s2010/

– Virtual School of Comp. Science & Engineering Summer School

Aug. 2-6, choice of onsite locations
https://hub.vscse.org (Proven Algorithmic Techniques for Many-Core Processors)

– Symposium on Chemical Computations on GPGPUs

Aug. 22-26, Boston
http://illinois.edu/lb/article/2101/36281

– Unconventional High Performance Computing 2010 (UCHPC 2010)

Aug. 31-Sept. 1, Italy
http://www.lrr.in.tum.de/~weidendo/uchpc10/

– GPU Technology Conference (GTC) 2010

Sept. 20-23, San Jose, Calif.
http://www.nvidia.com/gtc (now accepting proposals from industry and academia)

– Supercomputing 2010

Nov. 13-19, New Orleans, LA
http://sc10.supercomputing.org/

– IEEE International Parallel & Distributed Processing Symposium

May 16-20, 2011, Anchorage, AL
http://www.ipdps.org/

(To list an event, email: cuda_week_in_review@nvidia.com)
CUDA RESOURCES
CUDA Articles in Dr. Dobb’s
– Supercomputing for the Masses, Part 18: http://is.gd/cs6b9
– Supercomputing for the Masses, Part 17: http://is.gd/cs6eI
– Supercomputing for the Masses, Part 16: http://is.gd/citaC
– Supercomputing for the Masses, Part 15: http://is.gd/citnJ
CUDA Books
– Programming Massively Parallel Processors by D. Kirk, W. Hwu: http://is.gd/7bNYP
– See additional books here: http://www.nvidia.com/object/cuda_books.html
CUDA Toolkit
Download CUDA Toolkit 3.0: http://bit.ly/aKCENp
CUDA Documentation
Download developer guides and documentation: http://developer.nvidia.com/object/gpucomputing.html
NVIDIA Parallel Nsight
Download the Parallel Nsight Beta: www.nvidia.com/nsight
Download the Parallel Nsight Beta Release Notes: http://bit.ly/9iEYMs
CUDA ON THE WEB
– NEW: Check out the NVIDIA Research site: http://research.nvidia.com
– Read previous issues of CUDA: Week in Review: http://is.gd/cBXbg
– Follow CUDA & GPU Computing on Twitter: www.twitter.com/gpucomputing
– Network with other developers: www.gpucomputing.net
– Stayed tuned to GPGPU news and events: www.gpgpu.org
– Learn more about CUDA on CUDA Zone: www.nvidia.com/cuda
– Watch CUDA on YouTube: http://www.youtube.com/nvidiacuda
About CUDA
CUDA is NVIDIA’s parallel computing hardware architecture. NVIDIA provides a complete toolkit for programming on the CUDA architecture, supporting standard computing languages such as C, C++, and Fortran as well as APIs such as OpenCL and DirectCompute.
Copyright © 2010 NVIDIA Corporation. All rights reserved. 2701 San Tomas Expressway, Santa Clara, CA 95050.

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Tygodniowy newsletter “CUDA: Week in Review.” – 04.06.2010

Napisany przez e-on w Aktualności dnia 08.06.2010

CUDA: Week in Review

Friday, June 4, 2010, Issue #24
WELCOME
Welcome to “CUDA: Week in Review,” a weekly newsletter for the worldwide CUDA and GPU Computing community. Follow us on Twitter: www.twitter.com/gpucomputing.

Update on GPU Technology Conference (GTC) 2010
– Registration opened this week for GTC 2010, which takes place on Sept. 20-23 in
Silicon Valley.
– When you sign up, enter GMCUDANEWS10 for a 10% discount (special code for readers
of CUDA: Week in Review).
CUDA NEWS
All Eyes on Hamburg and the TOP500
This was a big week for supercomputing! The International Supercomputing Conference (ISC ´10) was held in Hamburg, Germany and attracted a record number of attendees. A closely-watched event at ISC is the announcement of the annual “TOP500″ list of the world´s fastest supercomputers. This year, two new NVIDIA GPU-based systems achieved a ranking on the TOP500 list:
– The Nebulae supercomputer at the National Supercomputing Center in Shenzhen, China
is #2.
– The supercomputer at the Institute of Process Engineering, Chinese Academy of Sciences
is #19.
Both systems are based on NVIDIA Tesla. Tesla also powers a third supercomputer on the TOP500, Tokyo Tech’s TSUBAME 1.2. See the TOP500 press release: http://www.top500.org/lists/2010/06/press-release
CUDA in Moscow
A CUDA/Tesla conference was held at Moscow State University featuring presentations on biophysics, biochemistry, molecular dynamics and genetics, drawing over 100 participants. Andy Keane, NVIDIA’s Tesla General Manager, was a guest speaker. NVIDIA partner Applied Parallel Computing participated.
– For more info on Applied Parallel Computing, see: http://www.parallel-compute.com/
– To purchase a CUDA book in Russian, see: http://www.ozon.ru/context/detail/id/5080841
Test Your Parallel Programming Skills in Grenoble!
Join the computer algebra/parallel programming contest organized by PASCO in July in Grenoble, France. Be prepared to face other participants in real time! Participation is open to people having a background in computer algebra and/or parallel computing (letter of intent due June 13).
– See: http://pasco2010.imag.fr/contest.html
CUDA ZONE
New on CUDA Zone: GPU Algorithm for Level Set Segmentation
Application Domain: Medical Imaging
Authors: M. Roberts, J. Packer, M.C. Sousa, J. R. Mitchell; University of Calgary, Canada Extract: “Identifying distinct regions in images – a task known as segmentation – is an important task in computer vision and medical imaging. The ‘level set’ method is a powerful technique for image segmentation under challenging conditions…. In this paper we describe a new GPU algorithm that dramatically improves computational efficiency without affecting accuracy…. We apply our algorithm to 3D medical images and we demonstrate that in typical clinical scenarios, our algorithm is 14X faster than previous algorithms…. We implemented our algorithm using CUDA and the CUDA Data Parallel Primitives Library.” Note: Paper to be presented at High-Performance Graphics 2010, June 25-27, Saarbrucken, Germany. See: http://is.gd/cBSSn
CUDA Zone: Have a CUDA-related app or paper? Post it on CUDA Zone: http://is.gd/8G3E4 and receive a CUDA t-shirt!
CUDA JOB OF THE WEEK
Imperial College London is offering postdoc positions related to computational science on parallel, multicore and manycore/GPGPU platforms. This is an opportunity to take a leadership role in a multidisciplinary collaboration involving applications such as ocean circulation modeling, bone implant biomechanics, urban pollution modeling and dam stability. A relevant Ph.D. or strong research experience is essential.
– Background on the research group: http://www.doc.ic.ac.uk/~phjk/
– Read more: http://www.gpucomputing.net/?q=node/905
CUDA EDUCATION
CUDA Research and Certification
– NEW: NVIDIA launches programs for GPU Computing developers. For more info, see:
http://www.nvidia.com/object/io_1275409333119.html
GPU Computing Webinars (CUDA C, OpenCL, Parallel Nsight and more…)
– NEW: See June webinar schedule:
http://developer.nvidia.com/object/gpu_computing_online.html
CUDA Training
– CUDA training from Acceleware

July 26-30, Cambridge, Mass: www.acceleware.com/jul26cambridge (with Microsoft)
August 2-6, New York City: www.acceleware.com/aug02newyork (with Microsoft)
Sept. 13-17, Calgary: www.acceleware.com/sep13calgary

– CUDA training from SagivTech

CUDA course: July 12-14, Ra’anana, Israel
GPU/Image Processing course: Aug. 2-4, Ra’anana, Israel
See: http://www.sagivtech.com/24054.html
CUDA Classes
– Virtual School of Comp. Science & Engineering

Proven Algorithmic Techniques for Many-Core Processors: Aug. 2-6, 2010
See: https://hub.vscse.org
CUDA and Academia
Over 350 universities are teaching CUDA and GPU Computing courses.
CUDA CALENDAR
– GPUs in Finance Roundtable

June 14, New York, NY (invitation only)

– European Association of Geoscientists & Engineers (EAGE) Conference

June 14-17, Barcelona
http://www.eage.org/events/index.php?eventid=297

– Parallel Execution of Sequential Programs on Multi-Core Architectures

June 20, Saint-Malo, France
http://cccp.eecs.umich.edu/pespma/cfp.html

– GPGPU Briefing on Financial Services (Microsoft/NVIDIA)

June 21, New York, NY
https://msevents.microsoft.com/CUI/EventDetail.aspx?EventID=1032451443&culture=en-US

– SIFMA Financial Services Tech Expo

June 22-24, New York, NY
http://events.sifma.org/2010/487/event.aspx?id=13584

– High Performance Graphics 2010

June 25-27, Saarbrucken, Germany
http://www.highperformancegraphics.org

– GPUs in Chemistry and Materials Science

June 28-30, Univ. of Pittsburgh
http://www.sam.pitt.edu/education/gpu2010.register.php

– Parallel Symbolic Computation 2010 (PASCO)

July 21-23, Grenoble, France
http://pasco2010.imag.fr/contest.html

– SIGGRAPH

July 25-29, Los Angeles
http://www.siggraph.org/s2010/

– Symposium on Chemical Computations on GPGPUs

Aug. 22-26, Boston
http://illinois.edu/lb/article/2101/36281

– Unconventional High Performance Computing 2010 (UCHPC 2010)

Aug. 31-Sept. 1, Italy
http://www.europar2010.org/en/overview_program.php

– GPU Technology Conference (GTC) 2010

Sept. 20-23, San Jose, Calif.
http://www.nvidia.com/gtc (now accepting proposals from industry and academia)

– Supercomputing 2010

Nov. 13-19, New Orleans, LA
http://sc10.supercomputing.org/

– IEEE International Parallel & Distributed Processing Symposium

May 16-20, 2011, Anchorage, AL
http://www.ipdps.org/

(To list an event, email: cuda_week_in_review@nvidia.com)
CUDA RESOURCES
CUDA Articles in Dr. Dobb’s
– Supercomputing for the Masses, Part 18: http://is.gd/cs6b9
– Supercomputing for the Masses, Part 17: http://is.gd/cs6eI
– Supercomputing for the Masses, Part 16: http://is.gd/citaC
– Supercomputing for the Masses, Part 15: http://is.gd/citnJ
CUDA Books
– Programming Massively Parallel Processors by D. Kirk, W. Hwu: http://is.gd/7bNYP
– See additional books here: http://www.nvidia.com/object/cuda_books.html
CUDA Toolkit
Download CUDA Toolkit 3.0: http://bit.ly/aKCENp
CUDA Documentation
Download developer guides and documentation: http://developer.nvidia.com/object/gpucomputing.html
NVIDIA Parallel Nsight
Download the Parallel Nsight Beta: www.nvidia.com/nsight
CUDA ON THE WEB
– Read previous issues of CUDA: Week in Review: http://is.gd/cBXbg
– Follow CUDA & GPU Computing on Twitter: www.twitter.com/gpucomputing
– Network with other developers: www.gpucomputing.net
– Stayed tuned to GPGPU news and events: www.gpgpu.org
– Learn more about CUDA on CUDA Zone: www.nvidia.com/cuda
– Watch CUDA on YouTube: http://www.youtube.com/nvidiacuda
About CUDA
CUDA is NVIDIA’s parallel computing hardware architecture. NVIDIA provides a complete toolkit for programming on the CUDA architecture, supporting standard computing languages such as C, C++, and Fortran as well as APIs such as OpenCL and DirectCompute.
Copyright © 2010 NVIDIA Corporation. All rights reserved. 2701 San Tomas Expressway, Santa Clara, CA 95050.

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Tygodniowy newsletter “CUDA: Week in Review.” – 28.05.2010

Napisany przez e-on w Aktualności dnia 08.06.2010

CUDA: Week in Review

Friday, May 28, 2010, Issue #23
WELCOME
Welcome to “CUDA: Week in Review,” a weekly newsletter for the worldwide CUDA and GPU Computing community. Twitter: www.twitter.com/gpucomputing.

GPU Technology Conference (GTC) Update:
- Proposal submissions are due June 1:
http://www.nvidia.com/object/call_for_submissions.html
- Watch our GTC video on YouTube: http://is.gd/cs9tL
- Read more about GTC: www.nvidia.com/gtc
- Sign up for GTC email updates: http://www.nvidia.com/object/email_updates.html
- Join the GTC LinkedIn group: http://www.linkedin.com/groups?about=&gid=2159196
- See GTC 09 research posters: http://www.nvidia.com/object/research_summit_posters.html
CUDA NEWS
Sharpen Your Skills in Summer School!
The Virtual School of Computational Science and Engineering is offering summer classes that can be taken online or at on-site locations across the U.S. The courses are designed for graduate students, post-docs and professionals from academia, government and industry. The schedule is:

  • Petascale Programming Environments and Tools, July 6-9, 2010
    • Includes presentation on “High-Performance Computing at the Petascale” as well as hands-on labs on visualization tools and other topics.
  • Big Data for Science, July 26-30, 2010
    • Instructors: Geoffrey C. Fox, distinguished scientist and director, and Judy Qiu, assistant director, Community Grids Lab, Pervasive Technology Institute, Indiana University.
  • Proven Algorithmic Techniques for Many-Core Processors, August 2-6, 2010
    • Instructors: Wen-mei Hwu, professor of electrical and computer engineering, University of Illinois at Urbana-Champaign and David Kirk, NVIDIA Fellow.
    • Note: The pre-requisite for this course is Introduction to CUDA.

For more info, see: https://hub.vscse.org/
CUDA APPS
Northeastern University: Reducing Disease Diagnostics Time
The Laboratory for Spectral Diagnosis at Northeastern University, under the leadership of Prof. Max Diem, is focused on the spectral diagnosis of disease. The lab uses objective measurements and mathematical-statistical methods to diagnose diseases affecting human cells, tissues or body fluids. Using Jacket from AccelerEyes to accelerate the hyperspectral image analysis workflow, the lab has dramatically reduced the time for diagnoses with CUDA.
- Background: In hyperspectral imaging, sensors collect a set of images, each of which
represents a range of the electromagnetic spectrum. The images are then combined to form
a 3D hyperspectral cube for processing and analysis.
- Read more and watch the videos here: http://www.accelereyes.com/resources/spectroscopy.
- Note: In the second video, hear how a 7-hour non-parallelized project now takes only
65 milliseconds with the GPU-based system.
CUDA ZONE
New on CUDA Zone: CUDA for Neural Networks
Extract: “The NeuroSolutions CUDA add-on implements high-performance parallel computing of neural networks. Neural networks are a form of artificial intelligence (AI) that have proved to be effective in solving a wide range of data mining and data modeling problems including credit card fraud detection, cancer diagnosis and financial forecasting. As problems become more complex, so does the demand for processing power. By parallelizing advanced learning algorithms on a GPU, NeuroSolutions can achieve up to 50 times greater performance than that of a traditional CPU.” By G. Lynn and B. Kachnowski, NeuroDimension, Inc. See: http://is.gd/cs5nc

CUDA Zone: Have a CUDA-related app or paper? Show it on CUDA Zone: http://is.gd/8G3E4
CUDA JOB OF THE WEEK
Reveal Imaging Technologies, a leader in the development of threat detection products, is looking for a hands-on junior engineering scientist to investigate new sensor technologies and their potential applications. Qualifications include: MS with concentration in computer science, math, physics, or other related engineering field; familiarity with signal processing; proficiency in MATLAB, LabView, C++, CUDA. Experience with infrared, mm-wave imaging, 3D surface rendering a plus. Location: Bedford, Mass. See: www.revealimaging.com/company.aspx?s=4&l=careers (job # 2010067)
CUDA EDUCATION
CUDA Training
- GPU Programming with CUDA Fortran, C, PGI Accelerator
June 3, Paris (presented by Michael Wolfe of the Portland Group in cooperation
with SciWorks Technologies)
See: http://is.gd/cs5xS

- CUDA training from Acceleware
July 26-30, Cambridge, Mass: www.acceleware.com/jul26cambridge (with Microsoft)
August 2-6, New York City: www.acceleware.com/aug02newyork (with Microsoft)
Sept. 13-17, Calgary: www.acceleware.com/sep13calgary
See press release: http://is.gd/ciaTJ

- CUDA training from SagivTech
CUDA course: July 12-14, Ra’anana, Israel
GPU/Image Processing course: Aug. 2-4, Ra’anana, Israel
See: http://www.sagivtech.com/24054.html
GPU Computing Webinars (CUDA C, OpenCL, Parallel Nsight and more…)
See webinar schedule: http://developer.nvidia.com/object/gpu_computing_online.html
CUDA and Academia
Over 350 universities are teaching CUDA and GPU Computing courses.
- See the list: http://www.nvidia.com/object/cuda_courses_and_map.html
CUDA CALENDAR
– ISC ´10 GPU Computing Workshops

May 30, Hamburg, Germany
http://www.nvidia.com/object/isc2010.html

– GPUs in Finance Roundtable

June 14, New York, NY (invitation only)

– European Association of Geoscientists & Engineers (EAGE) Conference

June 14-17, Barcelona
http://www.eage.org/events/index.php?eventid=297

– Parallel Execution of Sequential Programs on Multi-Core Architectures

June 20, France
http://cccp.eecs.umich.edu/pespma/cfp.html

– GPGPU Briefing on Financial Services (Microsoft/NVIDIA)

June 21, NYC
https://msevents.microsoft.com/CUI/EventDetail.aspx?EventID=1032451443&culture=en-US

– SIFMA Financial Services Tech Expo

June 22-24, New York, NY
http://events.sifma.org/2010/487/event.aspx?id=13584

– GPUs in Chemistry and Materials Science

June 28-30, Univ. of Pittsburgh
http://www.sam.pitt.edu/education/gpu2010.register.php

– Parallel Symbolic Computation 2010 (PASCO)

July 21-23, France
http://pasco2010.imag.fr/contest.html

– Symposium on Chemical Computations on GPGPUs

Aug. 22-26, Boston
http://illinois.edu/lb/article/2101/36281

– Unconventional High Performance Computing 2010 (UCHPC 2010)

Aug. 31-Sept. 1, Italy
http://www.lrr.in.tum.de/~weidendo/uchpc10/

– GPU Technology Conference (GTC) 2010

Sept. 20-23, San Jose, Calif.
http://www.nvidia.com/gtc (now accepting proposals from industry and academia)

– Supercomputing 2010

Nov. 13-19, New Orleans, LA
http://sc10.supercomputing.org/

– IEEE International Parallel & Distributed Processing Symposium

May 16-20, 2011, Anchorage, AL
http://www.ipdps.org/

(To list an event, email: cuda_week_in_review@nvidia.com)
CUDA RESOURCES
CUDA Articles in Dr. Dobb’s
– Supercomputing for the Masses, Part 18: http://is.gd/cs6b9
– Supercomputing for the Masses, Part 17: http://is.gd/cs6eI
– Supercomputing for the Masses, Part 16: http://is.gd/citaC
– Supercomputing for the Masses, Part 15: http://is.gd/citnJ
CUDA Books
– Programming Massively Parallel Processors by D. Kirk, W. Hwu: http://is.gd/7bNYP
– See additional books here: http://www.nvidia.com/object/cuda_books.html
CUDA Toolkit
Download CUDA Toolkit 3.0: http://bit.ly/aKCENp
NVIDIA Parallel Nsight
Download the Parallel Nsight Beta: www.nvidia.com/nsight
CUDA Documentation
Download developer guides and documentation: http://developer.nvidia.com/object/gpucomputing.html
CUDA ON THE WEB
– Follow CUDA & GPU Computing on Twitter: www.twitter.com/gpucomputing
– Network with other developers: www.gpucomputing.net
– Stayed tuned to GPGPU news and events: www.gpgpu.org
– Learn more about CUDA on CUDA Zone: www.nvidia.com/cuda
– CUDA on YouTube: http://www.youtube.com/nvidiacuda
About CUDA:
CUDA is NVIDIA’s parallel computing hardware architecture. NVIDIA provides a complete toolkit for programming on the CUDA architecture, supporting standard computing languages such as C, C++, and Fortran as well as APIs such as OpenCL and DirectCompute.
Copyright © 2010 NVIDIA Corporation. All rights reserved. 2701 San Tomas Expressway, Santa Clara, CA 95050.

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Tygodniowy newsletter “CUDA: Week in Review.” – 21.05.2010

Napisany przez e-on w Aktualności dnia 08.06.2010

CUDA: Week in Review

Friday, May 21, 2010, Issue #22
WELCOME
Welcome to this week’s issue of “CUDA: Week in Review,” a weekly newsletter for the worldwide CUDA and GPU Computing community. Follow us on Twitter: www.twitter.com/gpucomputing.

*Reminder: The GPU Technology Conference (GTC), Sept. 20-23, is accepting proposals for GPU-related sessions. The deadline is June 1. Submit your topic proposals today! Learn more: www.nvidia.com/gtc. See this week’s press release: http://is.gd/ci8Bs.
CUDA NEWS
CUDA and…Dance!
We recently came across a video on YouTube that listed “CUDA” as a keyword but is, well, different than videos usually associated with parallel computing! The video shows “Form Constant,” a collaboration between dancer/choreographer Hope Goldman and visual artist/programmer Andrew Moffat. It was recently performed live as Goldman’s Master’s thesis show at the University of Illinois at Urbana Champaign. To create the real-time tracking and effects, the piece uses infrared lighting, a webcam and custom software running on an NVIDIA GPU. We wanted to learn more about this union of art and technology so we contacted the creators. Here is the note we received from Moffat:

    “Form Constant was inspired primarily by the fluid motions of dance, but also out of a strong desire to collaborate across disciplines and experiment with technologies like real-time motion tracking and general purpose GPU programming. To create the visuals, we tied together a CUDA-based fluid solver to some motion tracking code that captured the position and speed of the dancer from a camera. The GPU fluid simulation code was adapted from the CUDA SDK fluid demo code samples NVIDIA has made available online. Additions and changes to the code for this performance included adding collisions and velocity generation from the dancer. The online GPU Gems series was an enormously helpful resource in understanding the theory behind what we wished to achieve…. We have bigger ideas for future pieces, so we hope to keep developing and collaborating together to create more interesting performances. CUDA has been a blast to learn.”

- See the video here: www.youtube.com/watch?v=d1KbiIytrE0 (if you only have a minute, watch from the 2:00 mark to the 3:00 mark)
New 3D Electromagnetic Simulation Software from Agilent
Agilent Technologies has announced Electromagnetic Professional (EMPro) 2010, a new release of its 3D electromagnetic (EM) modeling and simulation software. Used in the development of high-frequency and high-speed electronic devices, the new release features improvements in simulation speed and design efficiency, including built-in acceleration of “finite difference time domain” (FDTD) simulations utilizing CUDA C and Tesla GPU-based systems. EMPro was demonstrated earlier this year at CUDA Day in San Francisco by Amolak Badesha of Agilent, who noted that with CUDA, a week of simulation can now be accomplished in a few hours. For real-time 3D analysis, EMPro utilizes NVIDIA 3D Vision. See a video about EMPro here: http://www.youtube.com/watch?v=_9TmUUtV95o
CUDA APPS
CUDA Development in the Cloud for Structured Financial Instruments
Reval, a leader in derivative risk management solutions, is using SciFinance from SciComp to accelerate development of its cloud-based Software-as-a-Service (SaaS) solution. Using SciFinance to automatically generate CUDA source code, Reval has achieved an immediate 50-300x speed improvement for Monte Carlo-based derivatives pricing. SciComp, a leader in automated code generation software, exhibited at the annual ICBI Global Derivatives & Risk Management Conference in Paris this week. Learn more: http://www.scicomp.com/news/press_releases/pr24.html
CUDA ZONE
New on CUDA Zone: Medical Image Registration
Extract: “A surgeon is performing a potentially life-saving pancreatectomy on a patient in early stages of pancreatic cancer. Two small incisions of no more than half an inch allow laparoscopic tools including a video camera and an ultrasound probe to be guided inside the abdominal cavity. A third, larger incision, is occupied by a hand-access device that facilitates the operation. The surgeon is able to locate the tumor in the ultrasound view with ease. This is largely possible due to a newly installed 3D navigation and visualization system that virtually renders the patient transparent.” Authors: R. Shams, P. Sadeghi, R.A. Kennedy, R.I. Hartley, College of Engineering and Computer Science, Australian National University (ANU). Paper published in IEEE Signal Processing Magazine, March 2010. See: http://is.gd/cicNO

CUDA Zone Submissions: Have a CUDA-related paper, research, or app? Show it on CUDA Zone: http://is.gd/8G3E4
CUDA JOB OF THE WEEK
Mercury Computer Systems is seeking an engineer for its algorithms optimization team to deliver optimized, high performance, computational solutions to market. Experience with CUDA or OpenCL and detailed understanding of GPU architectures is required, as well as experience optimizing signal processing algorithms. See: http://is.gd/ci1LI
CUDA EDUCATION
Update from Oil & Gas Seminar in Houston
Over 70 Oil & Gas developers convened on May 12 in Houston at the GPU Computing seminar offered by Microsoft and NVIDIA. HeadWave, a seismic analysis software company, showed a CUDA C-powered application that processes seismic data in real time. Solutions provider Acceleware shared tips on using GPUs to turbocharge applications. Additionally, there was a demo and Q&A session about NVIDIA Parallel Nsight for Visual Studio. In June, Microsoft and NVIDIA will present a joint briefing on GPU Computing for the financial services community in New York. See: https://msevents.microsoft.com/CUI/EventDetail.aspx?EventID=1032451443
CUDA Training Courses
- NEW: CUDA training from Acceleware
July 26-30, Cambridge, Mass: www.acceleware.com/jul26cambridge (with Microsoft)
August 2-6, New York City: www.acceleware.com/aug02newyork (with Microsoft)
Sept. 13-17, Calgary: www.acceleware.com/sep13calgary
See press release: http://is.gd/ciaTJ
- CUDA training from SagivTech
CUDA course: July 12-14, Ra’anana, Israel
GPU/Image Processing course: Aug. 2-4, Ra’anana, Israel
See: http://www.sagivtech.com/24054.html
GPU Computing Webinars (CUDA C, OpenCL, Parallel Nsight and more…)
See webinar schedule: http://developer.nvidia.com/object/gpu_computing_online.html
CUDA and Academia
Over 350 universities are teaching CUDA and GPU Computing courses.
- See the list: http://www.nvidia.com/object/cuda_courses_and_map.html
CUDA CALENDAR
– ISC ´10 GPU Computing Workshops

May 30, Hamburg, Germany
http://www.nvidia.com/object/isc2010.html

– European Association of Geoscientists & Engineers (EAGE) Conference

June 14-17, Barcelona
http://www.eage.org/events/index.php?eventid=297

– Parallel Execution of Sequential Programs on Multi-Core Architectures

June 20, France
http://cccp.eecs.umich.edu/pespma/cfp.html

– GPGPU Briefing for Financial Services (Microsoft/NVIDIA)

June 21, NYC
https://msevents.microsoft.com/CUI/EventDetail.aspx?EventID=1032451443&culture=en-US

– GPUs in Chemistry and Materials Science

June 28-30, Univ. of Pittsburgh
http://www.sam.pitt.edu/education/gpu2010.register.php

– Parallel Symbolic Computation 2010 (PASCO)

July 21-23, France
http://pasco2010.imag.fr/contest.html

– Symposium on Chemical Computations on GPGPUs

Aug. 22-26, Boston
http://illinois.edu/lb/article/2101/36281

– Unconventional High Performance Computing 2010 (UCHPC 2010)

Aug. 31-Sept. 1, Italy
http://www.lrr.in.tum.de/~weidendo/uchpc10/

– GPU Technology Conference 2010

Sept. 20-23, San Jose, Calif.
http://www.nvidia.com/gtc (now accepting proposals from industry and academia)

– Supercomputing 2010

Nov. 13-19, New Orleans, LA
http://sc10.supercomputing.org/

(To list an event, email: cuda_week_in_review@nvidia.com)
CUDA RESOURCES
NVIDIA Parallel Nsight
Download the Parallel Nsight Beta: www.nvidia.com/nsight
CUDA Toolkit
Download CUDA Toolkit 3.0: http://bit.ly/aKCENp
CUDA Documentation
Download developer guides and documentation: http://developer.nvidia.com/object/gpucomputing.html
CUDA Books
– Programming Massively Parallel Processors by D. Kirk, W. Hwu: http://is.gd/7bNYP
– See additional books here: http://www.nvidia.com/object/cuda_books.html
CUDA Articles
– Supercomputing for the Masses, Part 16 (by Rob Farber in Dr. Dobb’s): http://is.gd/citaC
– Supercomputing for the Masses, Part 15 (by Rob Farber in Dr. Dobb’s): http://is.gd/citnJ
CUDA ON THE WEB
– Follow CUDA & GPU Computing on Twitter: www.twitter.com/gpucomputing
– Network with other developers: www.gpucomputing.net
– Stayed tuned to GPGPU news and events: www.gpgpu.org
– Learn more about CUDA on CUDA Zone: www.nvidia.com/cuda
– CUDA on YouTube: http://www.youtube.com/nvidiacuda
About CUDA
CUDA is NVIDIA’s parallel computing hardware architecture. NVIDIA provides a complete toolkit for programming on the CUDA architecture, supporting standard computing languages such as C, C++, and Fortran as well as APIs such as OpenCL and DirectCompute.
Copyright © 2010 NVIDIA Corporation. All rights reserved. 2701 San Tomas Expressway, Santa Clara, CA 95050.

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Tygodniowy newsletter “CUDA: Week in Review.” – 14.05.2010

Napisany przez e-on w Aktualności dnia 08.06.2010

CUDA: Week in Review

Friday, May 14, 2010, Issue #21