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SPAA
1997
ACM
14 years 7 days ago
Pipelining with Futures
Pipelining has been used in the design of many PRAM algorithms to reduce their asymptotic running time. Paul, Vishkin, and Wagener (PVW) used the approach in a parallel implementat...
Guy E. Blelloch, Margaret Reid-Miller
IPPS
2007
IEEE
14 years 2 months ago
Stochastic Approach to Scheduling Multiple Divisible Tasks on a Heterogeneous Distributed Computing System
Heterogeneity has been considered in scheduling, but without taking into account the temporal variation of completion times of the sub-tasks for a divisible, independent task. In ...
Ankur Kamthe, Soo-Young Lee
ICDM
2005
IEEE
190views Data Mining» more  ICDM 2005»
14 years 1 months ago
Adaptive Clustering: Obtaining Better Clusters Using Feedback and Past Experience
Adaptive clustering uses external feedback to improve cluster quality; past experience serves to speed up execution time. An adaptive clustering environment is proposed that uses ...
Abraham Bagherjeiran, Christoph F. Eick, Chun-Shen...
CLUSTER
2009
IEEE
13 years 5 months ago
Coordinating the use of GPU and CPU for improving performance of compute intensive applications
GPUs have recently evolved into very fast parallel co-processors capable of executing general purpose computations extremely efficiently. At the same time, multi-core CPUs evolutio...
George Teodoro, Rafael Sachetto Oliveira, Olcay Se...
HCW
1999
IEEE
14 years 11 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....