AHPCRC Projects: High Performance Computing Enabling Technologies

 

Memory hierararchies FARM componenents performance modeling
Sequoia memory hierarchy Flexible architecture machine Performance modeling
Interacting system components On-board HPC systems Supercomputing systems

 

HPC Enabling Technologies and Advanced Algorithms

Image archive

As computing applications become more demanding, computers and the programs that run on them must evolve as well. This is especially true for high performance computing, where power consumption levels, computing resource usage, and program portability between platforms are essential to the effective use of these resources. Capabilities developed for AHPCRC point the way toward wider application as multicore processors and parallel programming become common in the commercial marketplace.

 

Projects and People

4–1: Stream Programming for High Performance Computing

William Dally (Stanford)
Alex Aiken (Stanford)
Pat Hanrahan (Stanford)

4–2: Massive Scale Data Analysis on the Flexible Architecture Research Machine (FARM)

Kunle Olukotun (Stanford)
Christos Kozyrakis (Stanford)

4–3: Specifying Computer Systems for Field-Deployable and On-Board Systems of Multicore Processors

Pat Teller (UTEP)
Sarala Arunagiri (UTEP)

4–7: Evaluating Heterogeneous High Performance Computing for Use in Field-Deployable Systems

Jeanine Cook (NMSU)

More projects: