Parallel computing: Can we get it right this time? - Dr Tim Mattson, Intel
Details
VIP Speaker: Timothy Mattson - Parallel computing: Can we get it right this time? Also featuring Steve Worley - Packing GPUs in a Box: Building Dense Computation Servers
Come for Table discussions, Member Self-Intro, What's New, Application Showcase, and Advanced Application Development Techniques! Exchange ideas, meet experts, share code... all HPC & GPU, all practical, all cutting-edge.
Agenda:
General Discussions:
6:15-6:30pm What’s new in HPC & GPU Supercomputing
6:30-6:45pm Member self-intros: 30 seconds for each member
Main Program:
6:45-7:45pm Parallel computing: Can we get it right this time? (Tim Mattson, Ph.D.)
7:45-7:50pm Break
7:50-8:20pm Packing GPUs in a Box: Building Dense Computation Servers (Steve Worley)
Book Review:
8:20-8:30pm Selected Chapters (Mike Everest)
Refreshment sponsored by NVIDIA.
Parallel computing: Can we get it right this time?
This is a talk about history of parallel computing with a focus on the lessons we should have learned from the 90’s. I will discuss the origins of OpenCL and OpenMP, and the necessity to get software architecture right. I’ll also describe how parallel programming patterns can help in this process.
Speaker Bio:
Tim is an avid kayaker and Principal Engineer in the Corporate Technology Group conducting research on scalable computing. He joined Intel in 1993. Among his many roles at Intel, he was applications manager for the ASCI teraFLOPS project, helped create OpenMP, founded the Open Cluster Group (with it's cluster package, OSCAR), and launched Intel's programs in computing for the Life Sciences. Currently, Dr. Mattson is conducting research on abstractions that bridge across parallel system design, parallel programming environments, and application software.
Packing GPUs in a Box: Building Dense Computation Servers
Multi-GPU workstations are not the exotic beasts many imagine. They can be built cheaper, quieter, and easier than you expect. Steve Worley will show the benefits of building your own workstation.
Speaker Bio:
Steve Worley is commercial 3D software developer and numerical algorithm researcher. He has developed GPU applications for a diverse set of applications including raytracing, number theory, EDA, particle simulation, and bioinformatics.
Location:
Room 129;
Carnegie Mellon Silicon Valley;
NASA Research Park Bldg 23;
Mountain View, CA 94043;
Directions (http://www.cmu.edu/silicon-valley/about-us/directions.html) to Carnegie Mellon Silicon Valley;
Google Map (http://maps.google.com/maps/ms?gl=us&hl=en&ie=UTF8&msa=0&ll=37.410941,-122.063169&spn=0.019191,0.048923&t=h&z=15&msid=215438781255871976989.00049cacf6f0e5596e5cc) showing parking, check point, and building entrance;
NOTE: You will need a government issued ID (e.g. Driver's License) to enter NASA Research Park
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