SIAM PP06

MS49
How Can Computer Architecture Revolutionize Parallel Scientific Computing

Friday, February 24

As we enter the era of billion transistor chips, computer architects face significant challenges in effectively harnessing the large amount of computational potential available in modern CMOS technology. Given the challenges of heat density and resultant stall in clock frequency improvements, chip manufacturers are employing increased on-chip parallelism (multi-core, multi-thread) and increased architectural complexity (VLIW, deep cache hierarchies, stream prefetch) to improve performance. In this minisymposium, leaders in the field of computer architecture research will describe how to reign in architectural complexity and improve scientific productivity on future generations of parallel computing systems using innovative computer architectures.

Organizer: John Shalf
Lawrence Berkeley National Laboratory / NERSC
David Patterson
University of California, Berkeley

How to Hurt Scientific Productivity
David Patterson, University of California, Berkeley
Presentation: (PDF) (PPT)

Critical Factors and Key Directions For Petaflops Scale Supercomputers
Thomas Sterling, California Institute of Technolgy, Louisiana State University (CCT), Oak Ridge National Laboratory (ORNL)
Presentation: (PDF) (PPT)

Easy-to-use and Scalable Shared Memory Systems with Transactions
Christos Kozyrakis, Stanford University
Presentation: (PDF)

Infini-T: The Infinite Thread Architecture
Krste Asanovic, Massachusetts Institute of Technology
Presentation: (PDF) (PPT)