System Software Support for GPU-accelerated Applications

November 2, 2010
Shinpei Kato | CMU

Performance scalability is a key requirement for many interactive and real-time applications, such as autonomous robot, autonomous driving, virtual reality, physics simulation, and nuclear power plant control, where a large amount of data needs to be processed in real-time. These applications would benefit from the power of hardware accelerators that integrate many processing cores and arithmetic units on a chip for data-parallel processing. In particular, the graphics processing unit (GPU) is increasingly used in both graphics and general-purpose domains to accelerate application tasks. This talk presents the system software for these GPU-accelerated interactive and real-time applications. Specifically, it is focused on resource management techniques to prioritize and isolate concurrently-executing application tasks on the GPU. It also provides ideas for improving data communication throughput in GPU clusters.

Speaker Details

Shinpei Kato is a postdoctoral fellow in the Computer Science department at the University of Tokyo. He received his Ph.D. from Keio University (Japan) in 2008 and is currently working with Professor Raj Rajkumar in the Electrical and Computer Engineering department at Carnegie Mellon University as a visiting scientist. His research interests are in the area of real-time systems, operating systems, and parallel and distributed systems.