High-Performance clusters are rapidly becoming an important computing platform for both scientific and business applications. To fulfill the new demands and challenges, cluster sy...
Zhihong Zhang, Dan Meng, Jianfeng Zhan, Lei Wang, ...
Current practice in the design of application software for high-performance embedded computing systems is characterized by long development times, lack of interoperability with ot...
We describe MW – a software framework that allows users to quickly and easily parallelize scientific computations using the master-worker paradigm on the computationalgrid. MW ...
Jean-Pierre Goux, Sanjeev Kulkarni, Jeff Linderoth...
Work-stealing is the todays algorithm of choice for dynamic load-balancing of irregular parallel applications on multiprocessor systems. We have evaluated the algorithm’s effic...
This paper describes how soft performance bounds can be expressed for software systems using stochastic probes over stochastic process algebra models. These stochastic probes are ...
Ashok Argent-Katwala, Jeremy T. Bradley, Nicholas ...