The unprecedented growth of data at geographically distributed locations coupled with tremendous improvement in networking capabilities over the last decade strongly motivate the ...
Global address space languages like UPC exhibit high performance and portability on a broad class of shared and distributed memory parallel architectures. The most scalable applic...
— Rapid advancements in processor and networking technologies have led to the evolution of cluster and grid computing frameworks. These high-performance computing environments ex...
Pradeep Padala, Cyrus Harrison, Nicholas Pelfort, ...
This paper describes improvements to the Mach microkernel’s support for efficient application startup across multiple nodes in a cluster or massively parallel processor. Signifi...
Dejan S. Milojicic, David L. Black, Steven J. Sear...
The Coarse-Grained Monte Carlo (CGMC) method is a multi-scale stochastic mathematical and simulation framework for spatially distributed systems. CGMC simulations are important too...
Lifan Xu, Michela Taufer, Stuart Collins, Dionisio...