The University of Southampton
University of Southampton Institutional Repository

Parallel Sparse Matrix Solver for Direct Circuit Simulations on FPGAs

Nechma, Tarek, Zwolinski, Mark and Reeve, Jeff (2010) Parallel Sparse Matrix Solver for Direct Circuit Simulations on FPGAs At ISCAS.

Record type: Conference or Workshop Item (Paper)


As part of our effort to parallelise SPICE simulations over multiple FPGAs, we present a parallel FPGA implementation for a sparse matrix solver optimised for execution on a single FPGA node. Our approach combines static pivoting with symbolic analysis to compute an accurate task flow-graph which efficiently exploits parallelism at multiple granularities and sustains high floating-point data rates. The sparse matrix solver is tested with circuit simulation matrices from the University of Florida matrix collection. We report a 10-30X speedup compared to a 2.4 GHz Intel Core Duo processor running UMFPACK, a state-of-the-art sparse matrix solver.

PDF Parallel_Sparse_Matrix_Solver_for_Direct_Circuit_Simulations_on_FPGAs.pdf - Version of Record
Restricted to Registered users only
Download (300kB)

More information

Submitted date: May 2010
Venue - Dates: ISCAS, 0000-02-01
Organisations: EEE


Local EPrints ID: 270878
PURE UUID: 0a74e679-b4ba-4a43-8587-c81df5d6d274
ORCID for Mark Zwolinski: ORCID iD

Catalogue record

Date deposited: 21 Apr 2010 09:37
Last modified: 18 Jul 2017 06:50

Export record


Author: Tarek Nechma
Author: Mark Zwolinski ORCID iD
Author: Jeff Reeve

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.