Using Floating-Point Arithmetic on FPGAs to Accelerate Scientific N-Body Simulations

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	Similar Articles Articles by Gerhard Lienhart Articles by Andreas Kugel Articles by Reinhard Männer

10th Annual IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM'02)

Napa, California

September 22-September 24

ISBN: 0-7695-1801-X

	ASCII Text	x
	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	x
	@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	x
	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

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/FPGA.2002.1106673

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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