The Sliced COO Format for Sparse Matrix-Vector Multiplication on CUDA-enabled GPUs

An Architecture-aware Technique for Opti

An Architecture-aware Technique for Optimizing Sparse Matrix-vector Multiplication on GPUs

✍ Maggioni, Marco; Berger-Wolf, Tanya 📂 Article 📅 2013 🏛 Elsevier 🌐 English ⚖ 330 KB

An improved sparse matrix-vector multipl

An improved sparse matrix-vector multiplication kernel for solving modified equation in large scale power flow calculation on CUDA

✍ Mei Yang, ;Cheng Sun, ;Zhimin Li, ;Dayong Cao, 📂 Article 📅 2012 🏛 IEEE ⚖ 491 KB

[IEEE 2010 International Conference on C

[IEEE 2010 International Conference on Computational and Information Sciences (ICCIS) - Chengdu, China (2010.12.17-2010.12.19)] 2010 International Conference on Computational and Information Sciences - Auto-Tuning CUDA Parameters for Sparse Matrix-Vector Multiplication on GPUs

✍ Guo, Ping; Wang, Liqiang 📂 Article 📅 2010 🏛 IEEE ⚖ 772 KB

[ACM Press the 4th International Worksho

[ACM Press the 4th International Workshop - Grenoble, France (2010.07.21-2010.07.23)] Proceedings of the 4th International Workshop on Parallel and Symbolic Computation - PASCO '10 - Exact sparse matrix-vector multiplication on GPU's and multicore architectures

✍ Boyer, Brice; Dumas, Jean-Guillaume; Giorgi, Pascal 📂 Article 📅 2010 🏛 ACM Press ⚖ 613 KB

[ACM Press the 4th International Worksho

[ACM Press the 4th International Workshop - Grenoble, France (2010.07.21-2010.07.23)] Proceedings of the 4th International Workshop on Parallel and Symbolic Computation - PASCO '10 - Exact sparse matrix-vector multiplication on GPU's and multicore architectures

✍ Boyer, Brice; Dumas, Jean-Guillaume; Giorgi, Pascal 📂 Article 📅 2010 🏛 ACM Press ⚖ 613 KB

We propose different implementations of the sparse matrixdense vector multiplication (SpMV) for finite fields and rings Z /m Z. We take advantage of graphic card processors (GPU) and multi-core architectures. Our aim is to improve the speed of SpMV in the LinBox library, and henceforth the speed of