CUDA GPGPU Parallel Computing Newsletter - Issue 27

Friday, June 25, 2010, Issue #27 - Newsletter Home

WELCOME

Welcome to "CUDA: Week in Review," a weekly newsletter for the worldwide CUDA and GPU Computing community.
– Contact us at: cuda_week_in_review@nvidia.com.
– Follow us on Twitter: www.twitter.com/gpucomputing.
– See previous issues: http://is.gd/cBXbg
– Sign up today for GTC 2010, Sept. 20-23, in San Jose, Calif. (code: GMCUDANEWS10)

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.

Send comments and suggestions to: cuda_week_in_review@nvidia.com