949-824-9127

Customizable Domain-Specific Computing

Speaker Dr. Jason Cong,
Center for Domain-Specific Computing,
University of California, Los Angeles
CECS Host Elaheh Bozorgzadeh
Location Donald Bren Hall (DBH) 6011
Date & Time April 30, 2010
Refreshments at 10:30 am, Lecture begins at 11:00 am
Abstract

In order to meet ever-increasing computing needs and overcome power density limitations, the computing industry has halted simple processor frequency scaling and entered the era of parallelization, with tens to hundreds of computing cores integrated in a single processor, and hundreds to thousands of computing servers connected in a warehouse-scale data center. However, such highly parallel, general-purpose computing systems still face serious challenges in terms of performance, power, heat dissipation, space, and cost. We believe that we need to look beyond parallelization and focus on domain-specific customization as the next opportunity to bring orders-of-magnitude power-performance efficiency improvement to important classes of applications. This challenge requires a great deal of innovation in architecture, compilation, and runtime system design, and offers many exciting and challenging research opportunities.

I shall talk about the ongoing work at the newly established Center for Domain-Specific Computing supported by the NSF Expeditions in Computing award. Our proposed domain-specific customizable computing platform includes:

1) a wide range of customizable computing elements, from heterogeneous fixed cores to coarse-grain customizable cores, and to fine-grain field-programmable circuit fabrics;

2) customizable high-performance radio frequency interconnects;

3) highly automated compilation tools and runtime management software systems for application development;

and

4) a general, reusable methodology for customizable computing applicable across different domains.

By combining these critical capabilities, we aim to provide a supercomputer-in-a-box that is customized to a particular application domain with much higher performance/power efficiency. We choose application domains in healthcare to demonstrate our approach.

Biography Short biography available at Dr. Jason Cong’s Web Site.