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» Hiding Communication Latency in Data Parallel Applications
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HPDC
1998
IEEE
14 years 2 days ago
Metascheduling: A Scheduling Model for Metacomputing Systems
Abstract Metacomputing is the seamless application of geographically-separated distributed computing resources to user applications. We consider the scheduling of metaapplications;...
Jon B. Weissman
ICS
2009
Tsinghua U.
14 years 12 days ago
A comprehensive power-performance model for NoCs with multi-flit channel buffers
Large Multi-Processor Systems-on-Chip use Networks-on-Chip with a high degree of reusability and scalability for message communication. Therefore, network infrastructure is a cruc...
Mohammad Arjomand, Hamid Sarbazi-Azad
IPPS
1997
IEEE
13 years 11 months ago
View Caching: Efficient Software Shared Memory for Dynamic Computations
Software distributed shared memory (DSM) techniques, while effective on applications with coarse-grained sharing, yield poor performance for the fine-grained sharing encountered i...
Vijay Karamcheti, Andrew A. Chien
DATE
2000
IEEE
121views Hardware» more  DATE 2000»
14 years 7 days ago
Composite Signal Flow: A Computational Model Combining Events, Sampled Streams, and Vectors
The composite signal flow model of computation targets systems with significant control and data processing parts. It builds on the data flow and synchronous data flow models ...
Axel Jantsch, Per Bjuréus
HCW
1999
IEEE
14 years 3 days ago
A Unified Resource Scheduling Framework for Heterogeneous Computing Environments
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....