In many applications, a reduction of the amount of the original data or a representation of the original data by a small set of variables is often required. Among many techniques, ...
Creating a high throughput sparse matrix vector multiplication (SpMxV) implementation depends on a balanced system design. In this paper, we introduce the innovative SpMxV Solver ...
Junqing Sun, Gregory D. Peterson, Olaf O. Storaasl...
- Even though state-of-the-art FPGAs present new opportunities in exploring low-cost high-performance architectures for floating-point scientific applications, they also pose serio...
Consider any known sequential algorithm for matrix multiplication over an arbitrary ring with time complexity ON , where 2 3. We show that such an algorithm can be parallelize...
Abstract. Sparse matrix-vector multiplication is an important computational kernel that tends to perform poorly on modern processors, largely because of its high ratio of memory op...