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.
☆29Jun 1, 2020Updated 6 years ago
Alternatives and similar repositories for s-blas
Users that are interested in s-blas are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆17Apr 8, 2021Updated 5 years ago
- The SparseX sparse kernel optimization library☆43Jan 16, 2019Updated 7 years ago
- Singular Binarized Neural Network based on GPU Bit Operations (see our SC-19 paper)☆17Dec 9, 2020Updated 5 years ago
- A Synchronization-Free Algorithm for Parallel Sparse Triangular Solves (SpTRSV)☆23Feb 14, 2020Updated 6 years ago
- A sparse BLAS lib supporting multiple backends☆51Mar 18, 2026Updated 6 months ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Sparse-dense matrix-matrix multiplication on GPUs☆13Oct 15, 2018Updated 7 years ago
- SpMV using CUDA☆20Mar 5, 2018Updated 8 years ago
- ☆40Jul 25, 2022Updated 4 years ago
- ☆13Sep 22, 2026Updated 2 weeks ago
- ☆100Feb 10, 2017Updated 9 years ago
- SST Macro Element Library☆37May 12, 2026Updated 4 months ago
- Argonne Leadership Computing Facility OpenCL tutorial☆10Aug 22, 2025Updated last year
- Materials for a GraphBLAS tutorial☆17Oct 4, 2019Updated 7 years ago
- ☆31Dec 16, 2022Updated 3 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Simple starter CMake project that uses NVBench.☆15May 6, 2025Updated last year
- SpV8 is a SpMV kernel written in AVX-512. Artifact for our SpV8 paper @ DAC '21.☆29Mar 16, 2021Updated 5 years ago
- SV-Sim: Scalable PGAS-based State Vector Simulation of Quantum Circuits☆23Feb 2, 2024Updated 2 years ago
- Ariston Net integration with home assistant☆10Nov 3, 2020Updated 5 years ago
- Multiple 1-stencil implementations using nvidia cuda.☆12Dec 2, 2017Updated 8 years ago
- Performance Monitor library - This library records execution performance of a user code and reports the summary. The PMlib is able to use…☆11Mar 21, 2023Updated 3 years ago
- Discovery of Structured Parallelism In Sequential and Parallel Code☆10Feb 13, 2021Updated 5 years ago
- Panopticon is a complete in-DRAM RowHammer mitigation. This code simulates an implementation of Panopticon in DDR5.☆14Jun 2, 2023Updated 3 years ago
- [DEPRECATED] Moved to ROCm/rocm-libraries repo☆136Updated this week
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Recursive LAPACK Collection☆44Feb 20, 2022Updated 4 years ago
- ☆50Jun 27, 2019Updated 7 years ago
- VNEC: A Vectorized Non-Empty Column Format for SpMV on cross-platform multicore CPUs☆10Feb 6, 2024Updated 2 years ago
- QASMBench is an OpenQASM benchmark suite running on IBM Quantum-Experience backends.☆27Jun 10, 2021Updated 5 years ago
- A memory-centric profiling tool suite for heterogeneous memory☆10Nov 13, 2024Updated last year
- Code for paper "Design Principles for Sparse Matrix Multiplication on the GPU" accepted to Euro-Par 2018☆75Oct 5, 2020Updated 6 years ago
- Black-box optimizer submitted to BBO challenge at NeurIPS 2020☆14Dec 10, 2020Updated 5 years ago
- 绝地求生鼠标宏 by AHK☆10Feb 20, 2018Updated 8 years ago
- Runs a single CUDA/OpenCL kernel, taking its source from a file and arguments from the command-line☆26Sep 24, 2026Updated 2 weeks ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Microbenchmark that unveals the mechanisms behind power readings reported by nvidia-smi on your NVIDIA GPU.☆15Dec 12, 2024Updated last year
- Efficient Global Optimization☆10Feb 26, 2016Updated 10 years ago
- A Thread-Level Synchronization-Free Sparse Triangular Solve on GPUs☆56Mar 19, 2021Updated 5 years ago
- A library of parallel sparse preconditionersfor PSBLAS☆16Sep 30, 2026Updated last week
- A library of GPU kernels for sparse matrix operations.☆289Nov 24, 2020Updated 5 years ago
- ☆10Feb 17, 2026Updated 7 months ago
- Hands-on HPC I/O tutorial material☆19Aug 6, 2026Updated 2 months ago