CUDA Papers

A collection of research papers and projects utilizing CUDA technology

Tag Archives: GEMM

Benchmarking GPUs to Tune Dense Linear Algebra Abstract We present performance results for dense linear algebra using the 8-series NVIDIA GPUs. Our GEMM routine runs 60% faster than the vendor implementation and approaches the peak of hardware capabilities. Our LU, QR and Cholesky factorizations achieve up to 80-90% of the peak GEMM rate. Our parallel LU running on two GPUs […]