Tools such as multi-threaded data race detectors, memory bounds checkers, dynamic type analyzers, data flight recorders, and various performance profilers are becoming increasingly vital aids to software developers. Rather than performing all the instrumentation and analysis on the main processor, we exploit the fact that increasingly high-throughput board level interconnect is available on many systems, a fact we use to offload analysis to an off-chip accelerator. We characterize the potential of such a system to both accelerate existing software development tools and enable a new class of heavyweight tools. There are many non-trivial technical issues in taking such an approach that may not appear in simulation, and to flush them out we have developed a prototype system that maps a DMA based analysis engine, sitting on a PCI-mounted FPGA, into the Valgrind instrumentation framework. With our novel instrumentation methods, we demonstrate that program analysis speedups of 29% to 440% could be achieved today with strictly off-the-shelf components on some of the state-of-the-art tools, and we carefully quantify the bottlenecks to illuminate several new opportunities for further architectural innovation.
Authors: Mohit Tiwari, Shashidhar Mysore, Timothy Sherwood
DOI: https://doi.org/10.1109/pact.2009.38
Publish Year: 2009
