DocumentCode :
147953
Title :
Efficient Dense and Sparse Matrix Multiplication on GP-SIMD
Author :
Morad, Amir ; Yavits, Leonid ; Ginosar, Ran
Author_Institution :
Dept. of Electr. Eng., Technion - Israel Inst. of Technol., Haifa, Israel
fYear :
2014
fDate :
Sept. 29 2014-Oct. 1 2014
Firstpage :
1
Lastpage :
8
Abstract :
We present efficient Dense and Sparse Matrix Multiplication on GP-SIMD, a hybrid general purpose SIMD computer architecture that eliminates synchronization by in-memory computing, combining data storage and massively parallel processing. Cycle-accurate simulation of on a large set of matrices shows enhanced power efficiency relative to conventional architectures.
Keywords :
matrix multiplication; parallel architectures; GP-SIMD; data storage; dense matrix multiplication; hybrid general purpose SIMD computer architecture; in-memory computing; massively parallel processing; sparse matrix multiplication; Artificial intelligence; Gold; Hardware; Memory architecture; Radio access networks; Vectors; Associative Processor; GP-SIMD; In-Memory Computing; Memory Intensive Computing; Sparse Linear Algebra;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Timing Modeling, Optimization and Simulation (PATMOS), 2014 24th International Workshop on
Conference_Location :
Palma de Mallorca
Type :
conf
DOI :
10.1109/PATMOS.2014.6951895
Filename :
6951895
Link To Document :
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