GPU Architecture Challenges for Throughput Computing
Event details
| Date | 08.02.2011 |
| Hour | 15:15 |
| Speaker | Dr Tor M. Aamodt |
| Location | |
| Category | Conferences - Seminars |
There is growing interest in using graphics processors (GPUs) to accelerate non-graphics, throughput-oriented software. GPUs have the potential to significantly improve performance per unit cost versus general purpose CPUs for applications containing significant parallelism. This talk will provide a brief introduction to GPU Computing and summarize some of the key challenges contemporary GPUs present to software developers beyond the need to write parallel code. Then it will describe recent research on microarchitecture mechanisms for improving branch handling, scalable memory access scheduling, and on-chip interconnection networks in accelerator architectures. This talk will also briefly describe GPGPU-Sim, a simulator capable of running GPU Computing applications written in CUDA and OpenCL developed to enable architecture research on these challenges.
Links
Practical information
- General public
- Free
Contact
- Stéphanie Baillargues