A common pattern in scientific computing involves the execution of many tasks that are coupled only in the sense that the output of one may be passed as input to one or more other...
Yong Zhao, Mihael Hategan, Ben Clifford, Ian T. Fo...
The power-efficient massively parallel Graphics Processing Units (GPUs) have become increasingly influential for scientific computing over the past few years. However, their ef...
Eddy Z. Zhang, Yunlian Jiang, Ziyu Guo, Kai Tian, ...
The locality of the data in parallel programs is known to have a strong impact on the performance of distributed-memory multiprocessor systems. The worse the locality in access pa...
Xinmin Tian, Shashank S. Nemawarkar, Guang R. Gao,...
Abstract. In order to take full advantage of high-end computing platforms, scientific applications often require modifications to source codes, and to their build systems that ge...
Abstract. We present a new algorithm that computes eigenvalues and eigenvectors of a Hermitian positive definite matrix while solving a linear system of equations with Conjugate G...