pnnl / s-blasLinks
This package includes the implementation for four sparse linear algebra kernels: Sparse-Matrix-Vector-Multiplication (SpMV), Sparse-Triangular-Solve (SpTRSV), Sparse-Matrix-Transposition (SpTrans) and Sparse-Matrix-Matrix-Multiplication (SpMM) for Single-node Multi-GPU (scale-up) platforms such as NVIDIA DGX-1 and DGX-2.
☆28Updated 5 years ago
Alternatives and similar repositories for s-blas
Users that are interested in s-blas are comparing it to the libraries listed below
Sorting:
- CSR-based SpGEMM on nVidia and AMD GPUs☆46Updated 9 years ago
- A Synchronization-Free Algorithm for Parallel Sparse Triangular Solves (SpTRSV)☆22Updated 5 years ago
- CUDA Flux is a profiler for GPU applications which reports the basic block executions frequencies of compute kernels☆32Updated 4 years ago
- A sparse BLAS lib supporting multiple backends☆49Updated 3 weeks ago
- Parallelized and vectorized SpMV on Intel Xeon Phi (Knights Landing, AVX512, KNL)☆24Updated last year
- ☆18Updated 3 years ago
- Tartan: Evaluating Modern GPU Interconnect via a Multi-GPU Benchmark Suite☆67Updated 7 years ago
- Efficient SpGEMM on GPU using CUDA and CSR☆58Updated 2 years ago
- Multi-GPU dynamic scheduler using PGAS style cross-GPU communication☆29Updated 2 years ago
- LonestarGPU: Irregular algorithms parallelized for GPUs☆38Updated 6 years ago
- ☆48Updated 5 years ago
- A pattern-based algorithmic autotuner for graph processing on GPUs.☆31Updated 5 months ago
- Code for paper "Design Principles for Sparse Matrix Multiplication on the GPU" accepted to Euro-Par 2018☆73Updated 5 years ago
- SpV8 is a SpMV kernel written in AVX-512. Artifact for our SpV8 paper @ DAC '21.☆29Updated 4 years ago
- development repository for the open earth compiler☆81Updated 4 years ago
- Source code of the PPoPP '22 paper: "TileSpGEMM: A Tiled Algorithm for Parallel Sparse General Matrix-Matrix Multiplication on GPUs" by Y…☆44Updated last year
- Implementation of TSM2L and TSM2R -- High-Performance Tall-and-Skinny Matrix-Matrix Multiplication Algorithms for CUDA☆35Updated 5 years ago
- GPU Code optimizer for stencil computations. Refer to our IPDPS'19 paper for more details☆24Updated 6 years ago
- Implementation and analysis of five different GPU based SPMV algorithms in CUDA☆40Updated 6 years ago
- Benchmark for measuring the performance of sparse and irregular memory access.☆82Updated 3 months ago
- ☆28Updated 2 years ago
- ☆94Updated 8 years ago
- CSR5-based SpMV on CPUs, GPUs and Xeon Phi☆108Updated last year
- Performance Prediction Toolkit for GPUs☆39Updated 3 years ago
- TLB Benchmarks☆34Updated 8 years ago
- 🎃 GPU load-balancing library for regular and irregular computations.☆63Updated 3 months ago
- The NAS Parallel Benchmarks for evaluating C++ parallel programming frameworks on shared-memory architectures☆61Updated 3 months ago
- ☆50Updated 6 years ago
- ☆23Updated last month
- Rodinia benchmark☆192Updated 2 years ago