Title :
FPGA-based vector processor for algebraic equation solvers
Author :
Yang, Hongyan ; Ziavras, Sotirios G.
Author_Institution :
Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ
Abstract :
In this paper, a vector unit tightly coupled with a five-stage pipelined scalar processor is designed and implemented on an FPGA platform. This system supports IEEE 754 single-precision floating-point calculations and sparse matrix operations. The W-matrix linear equation solution method for sparse systems is run on this vector processor. The obtained performance demonstrates that large linear algebraic equations, a great challenge to general-purpose processors, can be solved efficiently on our vector processor
Keywords :
field programmable gate arrays; floating point arithmetic; logic design; microprocessor chips; pipeline processing; vector processor systems; FPGA platform; IEEE 754 single precision floating point calculations; W-matrix linear equation solution method; algebraic equation solvers; five-stage pipelined scalar processor; general purpose processors; linear algebraic equations; sparse matrix operations; sparse systems; vector processor; Computer architecture; Equations; Field programmable gate arrays; Logic design; Parallel processing; Process design; Registers; Sparse matrices; VLIW; Vector processors;
Conference_Titel :
SOC Conference, 2005. Proceedings. IEEE International
Conference_Location :
Herndon, VA
Print_ISBN :
0-7803-9264-7
DOI :
10.1109/SOCC.2005.1554475
