Due to the increasing complexity, the behavior of large-scale distributed systems becomes difficult to predict. The ability of on-line identification and autotuning of adaptive co...
Designing distributed controllers for self-reconfiguring modular robots has been consistently challenging. We have developed a reinforcement learning approach which can be used bo...
Numerical simulations in computational physics, biology, and finance, often require the use of high quality and efficient parallel random number generators. We design and optimi...
David A. Bader, Aparna Chandramowlishwaran, Virat ...
To be able to fully exploit ever larger computing platforms, modern HPC applications and system software must be able to tolerate inevitable faults. Historically, MPI implementati...
Joshua Hursey, Jeffrey M. Squyres, Timothy Mattox,...
Many new Partitioned Global Address Space (PGAS) programming languages have recently emerged and are becoming ubiquitously available on nearly all modern parallel architectures. PG...
Mohamed Bakhouya, Jaafar Gaber, Tarek A. El-Ghazaw...