Using a single traditional gang scheduling algorithm cannot provide the best performance for all workloads and parallel architectures. A solution for this problem is the use of...
The main purpose of this paper is to propose a Multi-Agent Autonomic and Bio-Inspired based framework with selfmanaging capabilities to solve complex scheduling problems using coo...
Typical computational grid users target only a single cluster and have to estimate the runtime of their jobs. Job schedulers prefer short-running jobs to maintain a high system ut...
Michael Klemm, Matthias Bezold, Stefan Gabriel, Ro...
Field programmable gate arrays (FPGAs) are commonly used in embedded systems. Although it is possible to reconfigure some FPGAs while an embedded system is operational, this featu...
Commodity hardware and software are growing increasingly more complex, with advances such as chip heterogeneity and specialization, deeper memory hierarchies, ne-grained power ma...