pOSKI: Parallel Optimized Sparse Kernel Interface Library. The parallel Optimized Sparse Kernel Interface (pOSKI) Library is a collection of kernels that provides automatically tuned (autotuned) high performance computational kernels for sparse matrices, such as Sparse-Matrix-Vector-Multiplication (SpMV). pOSKI targets both uniprocessor and multicore machines. pOSKI builds on prior work on the OSKI library, which provided autotuned kernels for SpMV and other kernels on cache-based superscalar uniprocessors. The purpose of both pOSKI and OSKI is to make it easy for developers of solver libraries, and of scientific and engineering applications, to more easily attain high performance in commonly used sparse matrix operations, via autotuning.
References in zbMATH (referenced in 1 article )
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- Tan, Guangming; Liu, Junhong; Li, Jiajia: Design and implementation of adaptive SpMV library for multicore and many-core architecture (2018)