Performance bounds of partial run-time reconfiguration in high-performance reconfigurable computing

Authors:
Esam El-Araby;Ivan Gonzalez;Tarek El-Ghazawi
Affiliations:
The George Washington University, Washington, DC;The George Washington University, Washington, DC;The George Washington University, Washington, DC
Venue:
HPRCTA '07 Proceedings of the 1st international workshop on High-performance reconfigurable computing technology and applications: held in conjunction with SC07
Year:
2007

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Abstract

High-Performance Reconfigurable Computing (HPRC) systems have always been characterized by their high performance and flexibility. Flexibility has been traditionally exploited through the Run-Time Reconfiguration (RTR) provided by most of the available platforms. However, the RTR feature comes with the cost of high configuration overhead which might negatively impact the overall performance. Currently, modern FPGAs have more advanced mechanisms for reducing the configuration overheads, particularly Partial Run-Time Reconfiguration (PRTR). It has been perceived that PRTR on HPRC systems can be the trend for improving the performance. In this work, we will investigate the potential of PRTR on HPRC by formally analyzing the execution model and experimentally verifying our analytical findings by enabling PRTR for the first time, to the best of our knowledge, on one of the state-of-the-art HPRC systems, Cray XD1. Our approach is general and can be applied to any of the available HPRC systems. The paper will conclude with recommendations and conditions, based on our conceptual and experimental work, for the optimal utilization of PRTR as well as possible future usage in HPRC.