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Using Floating-Point Arithmetic on FPGAs to Accelerate Scientific N-Body Simulations
Napa, California September 22-September 24
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/FPGA.2002.110667310th Annual IEEE Symposium on Field-P ...
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Gerhard Lienhart, Andreas Kugel, Reinhard Männer, "Using Floating-Point Arithmetic on FPGAs to Accelerate Scientific N-Body Simulations," Field-Programmable Custom Computing Machines, Annual IEEE Symposium on, pp. 182, 10th Annual IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM'02), 2002.
 
 
BibTex
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@article{ 10.1109/FPGA.2002.1106673,
author = {Gerhard Lienhart and Andreas Kugel and Reinhard Männer},
title = {Using Floating-Point Arithmetic on FPGAs to Accelerate Scientific N-Body Simulations},
journal ={Field-Programmable Custom Computing Machines, Annual IEEE Symposium on},
volume = {0},
year = {2002},
issn = {1082-3409},
pages = {182},
doi = {http://doi.ieeecomputersociety.org/10.1109/FPGA.2002.1106673},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Field-Programmable Custom Computing Machines, Annual IEEE Symposium on
TI - Using Floating-Point Arithmetic on FPGAs to Accelerate Scientific N-Body Simulations
SN - 1082-3409
SP
EP
A1 - Gerhard Lienhart,
A1 - Andreas Kugel,
A1 - Reinhard Männer,
PY - 2002
KW - null
VL - 0
JA - Field-Programmable Custom Computing Machines, Annual IEEE Symposium on
ER -
 
Gerhard Lienhart, University of Mannheim
Andreas Kugel, University of Mannheim
Reinhard Männer, University of Mannheim
This paper investigates the usage of floating-point arithmetic on FPGAs for N-Body simulation in natural science. The common aspect of these applications is the simple computing structure where forces between a particle and its surrounding particles are summed up. The role of reduced precision arithmetic is discussed, and our implementation of a floating-point arithmetic library with parameterized operators is presented. On the base of this library, implementation strategies of complex arithmetic units are discussed. Finally the realization of a fully pipelined pressure force calculation unit consisting of 60 floating-point operators with a resulting performance of 3.9 Gflops on an off the shelf FPGA is presented.
Citation:
Gerhard Lienhart, Andreas Kugel, Reinhard Männer, "Using Floating-Point Arithmetic on FPGAs to Accelerate Scientific N-Body Simulations," fccm, pp.182, 10th Annual IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM'02), 2002
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