Supercomputers complexity continue to rapidly increase, requiring
novel software solutions to aid in addressing the extreme abundance
of parallelism, restrictive power constraints, and fault tolerance
requirements. While industrial standards like MPI and OpenMP
have undergone extensive efforts to prepare for future systems [1, 2],
ne grain asynchronous runtimes have demonstrated an innate
agility in extracting performance which is otherwise arduous to
attain with current execution models
Revised: June 4, 2018 |
Published: May 15, 2017
Citation
Landwehr J.B., J.D. Suetterlein, J.B. Manzano Franco, A. Marquez, K.J. Barker, and G.R. Gao. 2017.Designing Scalable Distributed Memory Models: A Case Study. In Proceedings of the Computing Frontiers Conference (CF 2017), May 15-17, 2017, Siena, Italy, 174-182. New York, New York:ACM.PNNL-SA-124960.doi:10.1145/3075564.3077425