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 performance attained by parallel programs executed on multiprocessor systems is largely in uenced both by the characteristics of the code and by those of the system architectu...
—this paper studies the influence that task placement may have on the performance of applications, mainly due to the relationship between communication locality and overhead. Thi...
Javier Navaridas, Jose Antonio Pascual, José...
Current distributed parallel platforms can provide the resources required to execute a scientific application efficiently. However, when these platforms are shared by multiple use...
—With the emerging many-core paradigm, parallel programming must extend beyond its traditional realm of scientific applications. Converting existing sequential applications as w...
Jiangtian Li, Xiaosong Ma, Karan Singh, Martin Sch...