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...
This paper presents a performance analysis of marketbased batch schedulers for clusters of workstations. In contrast to previous work, we use user-centric performance metrics as t...
Efficient determination of processing termination at barrier synchronization points can occupy an important role in the overall throughput of parallel and distributed computing sy...
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...
In-memory data sharing for grids allow location-transparent access to data stored in volatile memory. Existing Grid middlewares typ- ically support only explicit data transfer betw...