In this paper we present an analytical-based framework for parallel program performance prediction. The main thrust of this work is to provide a means for treating realistic appli...
We describe a methodology that enables the real-time diagnosis of performance problems in complex high-performance distributed systems. The methodology includes tools for generati...
Brian Tierney, William E. Johnston, Brian Crowley,...
Sparse and irregular computations constitute a large fraction of applications in the data-intensive scientific domain. While every effort is made to balance the computational wor...
Guangyu Chen, Konrad Malkowski, Mahmut T. Kandemir...
This paper describes our progress in creating a case study on optimistic computing for the Grid using parallel mesh generation. For the implementation of both methods we will be u...
Nikos Chrisochoides, Andriy Fedorov, Bruce Lowekam...
This work presents a general methodology for estimating the performance of an HPC workload when running on a future hardware architecture. Further, it demonstrates the methodology...
Ilya Sharapov, Robert Kroeger, Guy Delamarter, Raz...