Model-driven autotuning of sparse matrix-vector multiply on GPUs 论文

2010引用 383
Parallel Computing and Optimization TechniquesDistributed and Parallel Computing SystemsAdvanced Data Storage Technologies

摘要

We present a performance model-driven framework for automated performance tuning (autotuning) of sparse matrix-vector multiply (SpMV) on systems accelerated by graphics processing units (GPU). Our study consists of two parts.