NDLI: Server-side coprocessor updating for mobile devices with FPGAs

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FPGA-2010 pre-conference workshop on open-source for FPGA

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Server-side coprocessor updating for mobile devices with FPGAs

Content Provider	ACM Digital Library
Author	Vahid, Frank Huang, Chen
Abstract	FPGAs are increasingly used to implement coprocessors for applications running on desktop platforms, and soon such FPGA coprocessing may appear in mobile devices. Because one device may run different applications from another device, different coprocessor sets are needed for each device based on the device's usage. We introduce an approach wherein a device profiles application usage and uploads that information to a server when docked. The server then determines the best coprocessor set based on such usage and on the device's particular FPGA constraints. The server creates the coprocessor set by combining pre-synthesized coprocessors for each application, and considers multiple versions of the same coprocessor, versions that tradeoff speed and size. We introduce a coprocessor set selection problem and propose a Pareto-optimal merge heuristic for the server that yields near-optimal solutions with linear time complexity. We also use a method that avoids time-consuming resynthesis of the coprocessors into a single FPGA binary, by using small reconfigurable regions with reserved inter-region communication channels. Our experiments show that the Pareto-optimal merge heuristic generates results within 1% of the optimal on average and run 5-20x faster than simulated annealing. The experiments also show that a 3x speedup and 70% energy reduction can be achieved by using FPGA coprocessors versus running the applications only on a microprocessor.
Starting Page	125
Ending Page	134
Page Count	10
File Format	PDF
ISBN	9781605589114
DOI	10.1145/1723112.1723135
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2010-02-21
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Fpgas Dynamic optimization Acceleration Coprocessing
Content Type	Text
Resource Type	Article

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