A key characteristic of today’s high performance computing systems is a physically distributed memory, which makes the efficient management of locality essential for taking adv...
Sparse matrix-vector multiplication (SpMV) is of singular importance in sparse linear algebra. In contrast to the uniform regularity of dense linear algebra, sparse operations enc...
In the past, there have been several denial-of-service (DOS) attacks which exhaust some shared resource (e.g., physical memory, process table, file descriptors, TCP connections) ...
Jahangir Hasan, Ankit Jalote, T. N. Vijaykumar, Ca...
Algorithms for the sparse matrix-vector multiplication (shortly SpM×V ) are important building blocks in solvers of sparse systems of linear equations. Due to matrix sparsity, the...
This paper describes and evaluates two algorithms for performing on-line failure recovery (data reconstruction) in redundant disk arrays. It presents an implementation of disk-ori...
Mark Holland, Garth A. Gibson, Daniel P. Siewiorek