Group Title: Survey of C-based application mapping tools for reconfigurable computing
Title: Abstract
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Permanent Link: http://ufdc.ufl.edu/UF00094749/00001
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Title: Abstract
Physical Description: Book
Language: English
Creator: Troxel, Ian
Aggarwal, Vikas
Holland, Brian
Jacobs, A.
DeVille, Ryan
George, Alan D.
Publisher: Troxel et al.
Place of Publication: Gainesville, Fla.
Publication Date: 2005
Copyright Date: 2005
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Bibliographic ID: UF00094749
Volume ID: VID00001
Source Institution: University of Florida
Holding Location: University of Florida
Rights Management: All rights reserved by the source institution and holding location.

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Survey of C-based Application Mapping Tools
for Reconfigurable Computing

I. Troxel', V. '.-_ _- i,- 11, B. Holland, A. Jacobs, R. DeVille, and A. George
High-performance Computing and Simulation (HCS) Research Laboratory
Department of Electrical and Computer Engineering, University of Florida
Gainesville, FL 32611-62 111

ABSTRACT

Researchers in areas such as cryptology, video compression, etc. have achieved unprecedented speedups using
PLDs such as FPGAs by means of highly efficient bit-level manipulation, selectable precision, a flexible set of
available resources, and a high degree of hardware parallelism. However, in order to realize such
improvements, applications that were originally designed for fixed-width, pipelined, general-purpose
processors must typically be redesigned with FPGAs in mind. Until recently, the task of mapping
applications onto hardware has been painstakingly performed using Hardware Description Languages
(HDLs) such as VHDL or Verilog and other artifacts from integrated-circuit design. However, porting
complex applications of interrelated functions from high-level languages such as C or FORTRAN to an HDL
while extracting inherent parallelism and other optimizations has proven extremely .li l.. ,il n especially for
application developers without extensive hardware design experience.

One of the fundamental issues limiting the acceptance of FPGA-based reconfigurable computing (RC) in the
mainstream of high-performance computing, from embedded systems to supercomputers, is the availability
of an effective programming model and set of tools that provide a reasonably straightforward and efficient
transition from legacy code on traditional processors to hardware design for RC. Recently, vendors and
researchers have developed a variety of application mapping tools to bridge the gap between the hardware-
and algorithm-design realms and ease the transition from traditional processors to FPGA-accelerated systems,
including several new tools in the past year alone. Such tools attempt to provide a high-level language (ILL)
programming model or graphical design capture through which to produce synthesizable code with minimal
redesign effort on the part of the application developer. This paper presents a survey of application mappers
based on C and compares several of these HLL tools in terms of design philosophy, ease of use, etc.
Additionally, a few common benchmark designs are created using several of the application mappers (e.g.
Handel-C, Impulse-C, etc.) to begin to compare the tools on the basis of design size, performance, and
development time. The paper also presents preliminary coding experiences and lessons learned.


1 Corresponding author, email: troxel@hcs.ufl.edu, telephone: 352-392-9046.




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