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Charlotte, North Carolina, USA
May 2, 2010 to May 4, 2010
ISBN: 978-0-7695-4056-6
pp: 171-174
ABSTRACT
While traditional methods of designing FPGA applications have relied on schematics or HDL, much interest has been shown in C-to-FPGA tool flows that allow users to design FPGA hardware in C. We evaluate a C-to-FPGA tool flow (Impulse C) by analyzing the performance of three independent implementations of the Computed tomography (CT) filtered backprojection (FBP) algorithm developed using C, Impulse C, and VHDL respectively. In the process, we compare the design process of Impulse C versus HDL, and discuss the benefits and challenges of using Impulse C. In addition, we explore the benefits of tightly-coupled FPGA acceleration offered by the XtremeData XD1000. The results of this paper demonstrate that Impulse C designs can achieve over 61x improvement over multi-threaded software (8 threads), and close to the same performance as VHDL, while significantly reducing the design effort, and that tightly-coupled FPGA coprocessors like the XD1000 effectively overcomes the traditional communication bottleneck between CPU and FPGA.
INDEX TERMS
Impulse C, FPGA, CT Scan, Tomographic Reconstruction
CITATION
Jimmy Xu, Nikhil Subramanian, Adam Alessio, Scott Hauck, "Impulse C vs. VHDL for Accelerating Tomographic Reconstruction", FCCM, 2010, Field-Programmable Custom Computing Machines, Annual IEEE Symposium on, Field-Programmable Custom Computing Machines, Annual IEEE Symposium on 2010, pp. 171-174, doi:10.1109/FCCM.2010.33
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