NVIDIA will host a full-day Tutorial on “High Performance Computing with CUDA” (Module M02) at Supercomputing 2008 at the Austin Convention Center in Austin, Texas on Monday, Nov. 17, 2008 from 8:30 a.m. to 5:00 p.m. SC08 is the international conference on high performance computing, networking, storage and analysis. The tutorial is designed to give attendees a thorough introduction to the CUDA programming model. NVIDIA engineers will partner with academic and industrial researchers to present CUDA and discuss its advanced use for science and engineering applications. The morning session will introduce CUDA programming and the CUDA execution and memory models, and explore the uses of CUDA with many brief examples from diverse HPC domains. The afternoon session will cover more advanced topics and include real-world case studies from domain scientists using CUDA for computational biology, computational fluid dynamics and seismic imaging. Joining NVIDIA in this tutorial will be John Stone and Jim Phillips from the University of Illinois at Urbana-Champaign and Scott Morton from Hess Corporation, a leading global energy company, engaged in the exploration and production of crude oil and natural gas. For more information on the CUDA tutorial visit here and if you would like to attend, please register here.
The University of Maryland are sponsoring a GPGPU programming contest. All entries will be released under version 3 of the GPL at the conclusion of the contest. Contestants are asked to submit code for sparse matrix multiplication. UMD will be evaluating entries on both vector/sparse matrix and sparse matrix/sparse matrix multiplications, using a variety of different inputs. As the contest progresses, UMD will update the LeaderBoard regularly, so contestants will have some idea of where they stand. Contestants are welcome to make as many entries as they want, so submit early and then tweak your designs. Entries can be written in either GLSL or CUDA. Prizes include NVIDIA Quadro FX 5600 GPUs, sponsored by NVIDIA. (http://scriptroute.cs.umd.edu/gpucompete/)
In addition to the papers already announced, Dr. Simon Harding (Memorial University, Newfoundland) and Dr. Tien-Tsin Wong (The Chinese University of Hong Kong) will lead a discussion on the practicalities of running evolution on modern graphics cards. They will contrast the current leading GPGPU tools considering ease of use, and support for debugging and performance monitoring. CIGPU will close with a short session considering the future of computational intelligence on GPUs.
University of Waterloo
Waterloo, Ontario, Canada
May 27th 2008
This one-day symposium will explore the use of GPUs, CELL processors, FPGAs and multi-core CPUs for large-scale scientific computing. The symposium program includes invited talks on the LANL Roadrunner CELL supercomputer, the RapidMind platform for multicore CPUs and many-core accelerators, and NVIDIA CUDA. For more information, see http://www.sharcnet.ca/events/ssgc2008/
Slides from the 2007 AstroGPU conference, held at the Institute for Advanced Study in Princeton last November, have been posted to the AstroGPU Website.
In conjunction with The 2008 International Conference on Computational Science and Its Applications (ICCSA 2008, UCHPC ’08 is a technical session on UnConventional High Performance Computing. This session focuses on uses of hardware for HPC that was not originally intended for HPC. UCHPC invites papers on all aspects of unconventional HPC and its related areas describing either proven and tested solutions or novel ideas and concepts. Topics for submissions include but are not limited to the following areas: cluster solutions; performance issues and scalability; innovative use of hardware and software; and HPC on GPUs, Cell BE, FPGAs and other hardware. Please see the Call for Papers for more information.
ARCS 2008, the 21st Conference on Architecture of Computing Systems, is proud to announce a full day GPGPU tutorial, covering concepts, building blocks and case studies with a special focus on NVIDIA CUDA GPU Computing technology. ARCS is held in Dresden, Germany, on February 25-28, 2008. For more details, please visit The ARCS 2008 Website.
The CIGPU-2008 special session on computational intelligence using consumer games and graphics hardwareNovember 5th, 2007
The CIGPU-2008 special session on computational intelligence using consumer games and graphics hardware invites submissions of novel scientific and engineering applications of GPUs. Papers submitted for special sessions will be peer-reviewed with the same criteria used for the contributed papers. Submission deadline is 7 January 2008. (WCCI-2008 Special Session Computational Intelligence on Consumer Games and Graphics Hardware CIGPU-2008)
The Workshop on General Purpose Processing on Graphics Processing Units will be held October 4, 2007 at Northeastern University, Boston, MA. This meeting will include a keynote talk by Prof. Wen-mei Hwu on “GP Computing: Hardware, Architecture Tools and Education”.
The program will include three invited talks from NVIDIA, ATI and IBM Research, and will include demos by GPU hardware and software vendors. The technical program will include 12 refereed papers. Registration is free, though you need to register for The Workshop on GPGPU at: http://censsis-db3.ece.neu.edu/RICC2007/regist.aspx
Commercial companies that are interested in presenting at The Workshop on GPGPU, please contact the organizing committee at email@example.com.
On Sunday November 11 2007 at SC07 in Reno NVIDIA will host a full-day tutorial on CUDA. In this tutorial NVIDIA engineers will partner with academic and industrial researchers to present CUDA and discuss its advanced use for science and engineering domains. The morning session will introduce CUDA programming and the execution and memory models at its heart, motivate the use of CUDA with many brief examples from different HPC domains, and discuss fundamental algorithmic building blocks in CUDA. The afternoon will discuss advanced issues such as optimization and “tips & tricks”, and include real-world case studies from domain scientists using CUDA (VMD and NAMD Molecular Dynamics and Oil and Gas).
Follow this link for more information: http://sc07.supercomputing.org/schedule/event_detail.php?evid=11034.