WELCOME Welcome to CUDA: Week in Review, an online news summary for the worldwide CUDA, GPU computing and parallel programming ecosystem. |
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CUDA 4.0 Announced
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This week’s spotlight is on CUDA 4.0. We touched base with Sanford Russell, Director of CUDA Marketing, about the significance of this next-generation software.
NVIDIA: Why is CUDA 4.0 important? |
Sanford: When we first released CUDA 1.0 in 2007, it was targeted to early adopters. Since then, it has evolved into a robust software package used around the world. The latest version, CUDA 4.0, is perfect for C/C++ and Fortran parallel developers. We see it being attractive to a broad base of developers, including those who may have been on the fence about parallel computing. Every year, the return on investment for CUDA-based application development becomes more compelling. |
NVIDIA: What’s new in CUDA 4.0? |
Sanford: We have three critical new features, all of which make parallel programming easier and accessible to more developers:
- NVIDIA GPUDirect 2.0, which enables peer-to-peer memory access and thus faster multi-GPU programming;
- Unified Virtual Addressing, which provides a single flat memory address space for CPU and GPU resources, enabling quicker and easier parallel programming;
- More C++ capabilities and an easier way to program parallel apps in C++ with the addition of the Thrust library of template performance primitives. |
NVIDIA: When will the software be available? |
Sanford: The CUDA Toolkit 4.0 Release Candidate will be available for download on Friday for CUDA Registered Developers. - You can register at: www.nvidia.com/paralleldeveloper. - The software will be available at: http://developer.nvidia.com/object/cuda_4_0_RC_downloads.html. |
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- For more info, see Sanford’s post on the NVIDIA blog: http://blogs.nvidia.com/
- Register for the CUDA 4.0 webinar (Fri., March 4, by Will Ramey of NVIDIA): http://bit.ly/fiMSzX
- Read about CUDA 4.0 in the press: The Register; Anandtech; Dr. Dobb’s; HPCwire
(Would you like to be featured in the CUDA Spotlight? Email us at
cuda_week_in_review@nvidia.com)
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GPU Computing Meetups Spring Up |
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As the website gpgpu.org recently reported, a number of GPU computing "Meetups" have sprung up. These professional groups - which leverage the social media platform Meetup - have formed in New York City, Silicon Valley, Boston, Chicago, Albuquerque and Tokyo in the first eight weeks of 2011. The networks provide a way for developers and business people to get together informally to discuss applications, markets and technologies related to GPU computing. The first GPU Meetups were founded in Australia - in Brisbane, Sydney, Perth and Melbourne.
- To see a list of GPU-related Meetups, visit: http://gpu.meetup.com/
Gordon Bell Prize — Application Deadline The ACM Gordon Bell Prizes are awarded each year to recognize outstanding achievement in high-performance computing. The purpose of the award is to track the progress over time of parallel computing. Abstracts are due April 1 and papers are due April 8.
- See: http://awards.acm.org/bell/
GTC 2011 — Save the Date! The next GPU Technology Conference (GTC 2011) will take place October 11-14 in San Jose, California. Call for submissions will open soon.
- See: http://www.gputechconf.com
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NEW: Each week we highlight sessions from GTC 2010 and SC10. Here are our picks for this week: |
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Enabling Augmented Reality with GPU Computing
Ryan Ismert — Sportvision (streaming, 40 mins.)
http://nvidia.fullviewmedia.com/gtc2010/0923-c-2123.html
Supercomputing for the Masses:
Killer Apps, Parallel Mappings, Scalability and App Lifespan (SC10)
Robert Farber — Pacific Northwest National Laboratory (pdf)
http://www.nvidia.com/content/PDF/sc_2010/theater/Farber_SC10.pdf
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GE Healthcare seeks an experienced software engineer for global team developing industry-leading CT scanners. Responsibilities include designing, implementing and testing CT image reconstruction software. Required: Bachelor’s Degree in CS, EE or related field. CUDA experience a plus.
- See: http://bit.ly/g1T3Qh
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NEW: Mathematica for CUDA and OpenCL Programming - Seminar
HPC & GPU Supercomputing Group of New York Meetup
HPC & GPU Supercomputing Group of Boston Meetup (1st meeting)
NEW: Mathematica 8 & GPU Computing - Seminar
NEW: Key Algorithm Techniques for Heterogeneous Computing
Presented by Prof. Wen-mei Hwu, Univ. of Illinois Urbana-Champaign |
Note: Live presentation, with simultaneous webcast |
March 3, 2011, 2:00 pm pacific, NVIDIA headquarters, Santa Clara, Calif. |
https://www2.gotomeeting.com/register/292102539 |
NEW: CUDA 4.0 Feature Overview - NVIDIA Webinar
Workshop on General Purpose Processing on GPUs (with ASPLOS XVI)
NEW: HPC & GPU Supercomputing Group of Silicon Valley (1st meeting)
NEW: HPC & GPU Supercomputing Group of Tokyo Meetup (1st meeting)
NEW: Applied Computer Applied Computational Science (ACACOS ’11, WSEAS)
NEW: Interest Rate and Credit Modeling on GPUs - Thalesian Seminar
GPU Computing Using Mathematica and CUDA - Webinars
GPU Computing Session, German Physical Society Conference
ASIM Workshop 2011 - ASIM and Technische Universitat Munchen (TUM)
SagivTech 3-Day CUDA Course
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April – May 2011
SagivTech 3-Day CUDA Course
NEW: GPU Computing Overview - Microsoft, NVIDIA
NEW: GPU Computing Overview - Microsoft, NVIDIA
CUDA and GPUs for CFD Applications - Tutorial
Workshop on High Performance Computational Biology - IEEE
May 16, 2011, Anchorage, Alaska |
Note: Held with International Parallel & Distributed Processing Symposium |
http://www.hicomb.org/ |
NEW: GU Computing Overview - Microsoft, NVIDIA
NEW: GPU Computing Overview - Microsoft, NVIDIA
NEW: NAFEMS World Congress: Promoting Adoption of HPC for Engineering Simulation
May 23-26, 2011, Boston, Mass. |
Note: May 25, session by Stan Posey, NVIDIA, on GPU Acceleration for Multiphysics Applications |
http://www.nafems.org/congress |
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June – Sept. 2011
25th International Conference on Supercomputing
Intelligent Vehicles Conference - IEEE
Internat'l. Supercomputing Conference (ISC)
Internat'l. Conference on Computer Systems and Applications
NEW: 2011 World Congress on Engineering (WCE 2011)
Genetic and Evolutionary Computation Conference (GECCO)
NEW: World Congress in C.S., Computer Engineering, Applied Computing (WORLDCOMP’11)
Application Accelerators in High Performance Computing (SAAHPC 2011)
NEW: VLDB (Very Large Data Bases) 2011
NEW: Geospatial Summit
Ongoing
(To list an event, email: cuda_week_in_review@nvidia.com) |
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CUDA GPUs |
– List of CUDA-enabled GPUs: www.nvidia.com/object/cuda_gpus.html |
CUDA Libraries Performance Report |
– Download: http://bit.ly/ehR5az |
CUDA Downloads |
– Download Parallel Nsight: www.nvidia.com/object/parallel-nsight.html
– Get developer guides and docs: http://developer.nvidia.com/object/gpucomputing.html |
CUDA on the Web |
– See 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
– Check out the NVIDIA Research page: www.nvidia.com/research |
CUDA Recommended Reading |
– Kudos for CUDA: www.hpcwire.com/features/Kudos-for-CUDA-97889444.html
– Supercomputing for the Masses, Part 20: http://is.gd/f9o6o
– CUDA books: http://www.nvidia.com/object/cuda_books.html |
CUDA Recommended Viewing |
– Third Pillar of Science: www.nvidia.com/object/race-for-better-science.html |
– GTC 2010 presentations: www.nvidia.com/gtc |
– SC10 presentations: www.nvidia.com/object/sc10_theater.html |
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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
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