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135
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IPPS
1998
IEEE
15 years 7 months ago
Optimizing Data Scheduling on Processor-in-Memory Arrays
In the study of PetaFlop project, Processor-In-Memory array was proposed to be a target architecture in achieving 1015 floating point operations per second computing performance. ...
Yi Tian, Edwin Hsing-Mean Sha, Chantana Chantrapor...
131
Voted
ICML
1998
IEEE
16 years 4 months ago
Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions
This paper introduces a new algorithm, Q2, foroptimizingthe expected output ofamultiinput noisy continuous function. Q2 is designed to need only a few experiments, it avoids stron...
Andrew W. Moore, Jeff G. Schneider, Justin A. Boya...
150
Voted
CISS
2008
IEEE
15 years 10 months ago
Achievable rates and training optimization for fading relay channels with memory
—In this paper, transmission over time-selective, flat fading relay channels is studied. It is assumed that channel fading coefficients are not known a priori. Transmission tak...
Sami Akin, Mustafa Cenk Gursoy
116
Voted
IPPS
1998
IEEE
15 years 7 months ago
Compiler-Optimization of Implicit Reductions for Distributed Memory Multiprocessors
This paper presents reduction recognition and parallel code generationstrategies for distributed-memorymultiprocessors. We describe techniques to recognize a broad range of implic...
Bo Lu, John M. Mellor-Crummey
115
Voted
EUROPAR
2007
Springer
15 years 9 months ago
Locality Optimized Shared-Memory Implementations of Iterated Runge-Kutta Methods
Iterated Runge-Kutta (IRK) methods are a class of explicit solution methods for initial value problems of ordinary differential equations (ODEs) which possess a considerable poten...
Matthias Korch, Thomas Rauber