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...
Performance modeling for scientific applications is important for assessing potential application performance and systems procurement in high-performance computing (HPC). Recent ...
Modern FPGA devices, which include (multiple) processor core(s) as diffused IP on the silicon die, provide an excellent platform for developing custom multiprocessor systems-on-pr...
Jason Agron, Wesley Peck, Erik Anderson, David L. ...
This paper presents a methodology to efficiently explore the design space of communication adapters. In most digital signal processing (DSP) applications, the overall performance ...
Cyrille Chavet, Philippe Coussy, Pascal Urard, Eri...
Data-intensive applications are increasingly designed to execute on large computing clusters. Grouped aggregation is a core primitive of many distributed programming models, and i...