HPCI systems research is a critical activity in the ASU HPC group. Ongoing projects include Dynamic Virtual Clustering in conjunction with Cluster Resources, Inc. and a new toolset for highly parallel signal processing in conjunction with Pentum Group, Inc. and the US Airforce.

Dynamic Virtual Clustering

Dynamic Virtual Clustering is a system that deploys virtual machines (VMs) in a multi-cluster environment to improve job workload performance.

SCStreams and StreamVSIPL

The High Performance Computing Initiative at Arizona State University has engaged with Pentum Group, Inc. (PGI) in an effort to construct new streams-based approaches to parallel processing. The emphasis of the project has been on developing new techniques that both provide semantics useful for supporting a range of signal processing applications, as well as being flexible enough to provide easy portability across a range of current and emerging computing architectures, from computing clusters to Field Programmable Gate Arrays and other hardware accelerators.

Paradigms for Parallel Computation

The Paradigms for Parallel Computation Project is performing a three phase evaluation of emerging ideas to boost productivity for programmers of high performance computing systems, and in particular to determine which of these ideas could have near-term impact on DoD relevant applications and systems.

Offline Parallel Debugger

Upcoming generations of processors will pack tens of processor's onto a single silicon chip. HPC systems composed of these chips will in 3-4 years be capable of executing hundreds of thousands of simultaneous threads of a single program. In this project, the infrastructure required for programmiprogramming at this scale is being created, including debuggers, compiler extensions, and run-time support. Currently in development is the Offline Parallel Debugger. Researcher: Dan Stanzione. Collaborators: Intel Corporation, University of New Mexico.