Parallel dataflow programs generate enormous amounts of distributed data that are short-lived, yet are critical for completion of the job and for good run-time performance. We ca...
Steven Y. Ko, Imranul Hoque, Brian Cho, Indranil G...
Distributed Shared Memory (DSM) systems provide a logically shared memory over physically distributed memory to enable parallel computation on Networks of Workstations (NOWs). In ...
The size and complexity of current custom VLSI have forced the use of high-level programming languages to describe hardware, and compiler and synthesis technology bstract designs ...
Darin Petkov, Randolph E. Harr, Saman P. Amarasing...
Abstract. Finite volume numerical methods have been widely studied, implemented and parallelized on multiprocessor systems or on clusters. Modern graphics processing units (GPU) pr...
Compared with lock-based synchronization techniques, Software Transactional Memory (STM) can significantly improve the programmability of multithreaded applications. Existing res...