1. High Performance Computing University of Southern California
Viktor K. Prasanna
University of Southern California
NSF CSR PI Meet
June 2, 2017

2. High Performance Computing (1)
What is HPC, what are interesting applications?
New architectures are becoming complex, how does users program them? Optimize for them? Maintain them?
Simplified models—resource oblivious programming?
Code adaptation—complier? run time?
Performance portability across architectures
Debugging tools
HPC on the Cloud? can we reduce overheads to make Clouds attractive for HPC workloads
HPC at the Edge?

3. High Performance Computing (2)
4) Fundamental understanding of HPC systems? Too many abstractions?
5) Changing HPC workloads
data science
new architectures to support these
6) Access to HPC resources
overheads in obtaining access
access to large scale machines
7) NSF, DoE: where does the community submit?