Exceptionally large amounts of both distributed data and computational resources are becoming available through the Grid. This will enable efficient exchange and processing of very...
With the tremendous advances in processor and memory technology, I/O has risen to become the bottleneck in high-performance computing for many applications. The development of par...
Avery Ching, Alok N. Choudhary, Wei-keng Liao, Rob...
A major challenge in Metacomputing Systems (Computational Grids) is to effectively use their shared resources, such as compute cycles, memory, communication network, and data repo...
Ammar H. Alhusaini, Viktor K. Prasanna, Cauligi S....
Parallel computers are now commonly used for computational science and engineering, and many applications in these areas use random number generators. For some applications, such ...
The ability to automatically parallelize standard programming languages results in program portability across a wide range of machine architectures. It is the goal of the Polaris ...
William Blume, Rudolf Eigenmann, Keith Faigin, Joh...