2009 Poster Sessions : FARM: A Flexible Architectural Research Machine

Student Name : Jared Casper, Sungpack Hong, Tayo Oguntebi
Advisor : Oyekunle Olukotun
Research Areas: Computer Systems
Abstract:
Computing systems have turned increasingly to parallelism as a way to scale performance with Moore's Law in current and future architectures.
Unfortunately, there is currently a lack of flexible hardware prototyping systems that allow researchers to experiment with parallel ideas in realistic environments. We propose the Flexible Architectural Research Machine (FARM) as a solution to this problem. FARM unites the high performance of commodity CPUs with the flexibility of an FPGA in a modular, programmable system.


Bio:
Sungpack Hong is a PhD candidate in the Pervasive Parallelism Lab, Stanford University. Prior to joining Stanford, Sungpack worked in various research groups, including Samsung Electronics and ETRI, Korea.
He got his Master in Computer Science at KAIST in 2001. His research interests include parallel computer systems, large scale interconnection networks, and low-power embedded architectures.

Jared Casper received his B.S. in Electrical Engineering and Computer Science from MIT and is currently pursuing a Ph.D. in Computer Science from Stanford, working with Prof. Kunle Olukotun on novel computer architectures. His interests range from VLSI and FPGA based digital design to Operating Systems and Programming Languages.

Tayo Oguntebi is a PhD candidate in Electrical Engineering at Stanford University. He received his B.S. in Computer Engineering from Georgia Tech and now performs research with Prof. Kunle Olukotun in the areas of parallel computer systems, FPGA-based design, and application-specific architectures.