Efficient Dense and Sparse Matrix Multiplication on GP-SIMD

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.