A high-performance implementation of Sparse Matrix-Vector Multiplication in C++ with serial, parallel (OpenMP), and GPU-accelerated (CUDA) versions, demonstrating the performance benefits of ...
Abstract: The performance of sparse matrix vector multiplication (SpMV) is important to computational scientists. Compressed sparse row (CSR) is the most frequently used format to store sparse ...
Abstract: We present a strictly balanced method for the parallel computation of sparse matrix-vector products (SpMV). Our algorithm operates directly upon the Compressed Sparse Row (CSR) sparse matrix ...
One-bit compressed sensing is an emerging methodology that seeks to recover sparse signals from highly quantised data, where each measurement is reduced to a single bit representing its sign. This ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results