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5th IEEE Symposium on FPGA-Based Custom Computing Machines (FCCM '97)
Mapping applications to the RaPiD configurable architecture
Napa Valley, CA
April 16-April 18
ISBN: 0-8186-8159-4
ASCII Text
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C. Ebeling, D.C. Cronquist, P. Franklin, J. Secosky, S.G. Berg, "Mapping applications to the RaPiD configurable architecture," Field-Programmable Custom Computing Machines, Annual IEEE Symposium on, pp. 106, 5th IEEE Symposium on FPGA-Based Custom Computing Machines (FCCM '97), 1997.
 
 
BibTex
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@article{ 10.1109/FPGA.1997.624610,
author = {C. Ebeling and D.C. Cronquist and P. Franklin and J. Secosky and S.G. Berg},
title = {Mapping applications to the RaPiD configurable architecture},
journal ={Field-Programmable Custom Computing Machines, Annual IEEE Symposium on},
volume = {0},
year = {1997},
issn = {1082-3409},
pages = {106},
doi = {http://doi.ieeecomputersociety.org/10.1109/FPGA.1997.624610},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Field-Programmable Custom Computing Machines, Annual IEEE Symposium on
TI - Mapping applications to the RaPiD configurable architecture
SN - 1082-3409
SP
EP
A1 - C. Ebeling,
A1 - D.C. Cronquist,
A1 - P. Franklin,
A1 - J. Secosky,
A1 - S.G. Berg,
PY - 1997
KW - motion estimation; RaPiD configurable architecture; mapping applications; reconfigurable pipelined datapath architecture; high performance configurable computing; special-purpose hardware; deep pipeline; coarse-grained computational units; computational pipelines; dynamic control; FIR filter; 2-D DCT; motion estimation; parametric curve generation; complex computations
VL - 0
JA - Field-Programmable Custom Computing Machines, Annual IEEE Symposium on
ER -
 
C. Ebeling, Dept. of Comput. Sci. & Eng., Washington Univ., Seattle, WA, USA
D.C. Cronquist, Dept. of Comput. Sci. & Eng., Washington Univ., Seattle, WA, USA
P. Franklin, Dept. of Comput. Sci. & Eng., Washington Univ., Seattle, WA, USA
J. Secosky, Dept. of Comput. Sci. & Eng., Washington Univ., Seattle, WA, USA
S.G. Berg, Dept. of Comput. Sci. & Eng., Washington Univ., Seattle, WA, USA
The goal of the RaPiD (Reconfigurable Pipelined Datapath) architecture is to provide high performance configurable computing for a range of computationally-intensive applications that demand special-purpose hardware. This is accomplished by mapping the computation into a deep pipeline using a configurable array of coarse-grained computational units. A key feature of RaPiD is the combination of static and dynamic control. While the underlying computational pipelines are configured statically, a limited amount of dynamic control is provided which greatly increases the range and capability of applications that can be mapped to RaPiD. This paper illustrates this mapping and configuration for several important applications including a FIR filter, 2-D DCT, motion estimation, and parametric curve generation; it also shows how static and dynamic control are used to perform complex computations.
Index Terms:
motion estimation; RaPiD configurable architecture; mapping applications; reconfigurable pipelined datapath architecture; high performance configurable computing; special-purpose hardware; deep pipeline; coarse-grained computational units; computational pipelines; dynamic control; FIR filter; 2-D DCT; motion estimation; parametric curve generation; complex computations
Citation:
C. Ebeling, D.C. Cronquist, P. Franklin, J. Secosky, S.G. Berg, "Mapping applications to the RaPiD configurable architecture," fccm, pp.106, 5th IEEE Symposium on FPGA-Based Custom Computing Machines (FCCM '97), 1997
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