Reconfigurable Computing Cluster (RCC) Project: Investigating the Feasibility of FPGA-Based Petascale Computing

Authors:
Ron Sass;William V. Kritikos;Andrew G. Schmidt;Srinivas Beeravolu;Parag Beeraka
Affiliations:
University of North Carolina at Charlotte, USA;University of North Carolina at Charlotte, USA;University of North Carolina at Charlotte, USA;University of North Carolina at Charlotte, USA;University of North Carolina at Charlotte, USA
Venue:
FCCM '07 Proceedings of the 15th Annual IEEE Symposium on Field-Programmable Custom Computing Machines
Year:
2007

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Abstract

While medium- and large-sized computing centers have increasingly relied on clusters of commodity PC hardware to provide cost-effective capacity and capability, it is not clear that this technology will scale to the PetaFLOP range. It is expected that semiconductor technology will continue its exponential advancements over next fifteen years; however, new issues are rapidly emerging and the relative importance of current performance metrics are shifting. Future PetaFLOP architectures will require system designers to solve computer architecture problems ranging from how to house, power, and cool the machine, all the while remaining sensitive to cost. The Reconfigurable Computing Cluster (RCC) project is a multi-institution, multi-disciplinary project investigating the use of Platform FPGAs to build cost-effective petascale computers. This paper describes the nascent project's objectives and a 64-node prototype cluster. Specifically, the aim is to provide an detailed motivation for the project, describe the design principles guiding development, and present a preliminary performance assessment. Microbenchmark results are reported to answer several pragmatic questions about key subsystems, including the system software, network performance, memory bandwidth, power consumption of nodes in the cluster. Results suggest that the approach is sound.