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» Parallel I O in Bulk-Synchronous Parallel ML
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PPSN
1990
Springer
13 years 11 months ago
Feature Construction for Back-Propagation
T h e ease of learning concepts f r o m examples in empirical machine learning depends on the attributes used for describing the training d a t a . We show t h a t decision-tree b...
Selwyn Piramuthu
GLOBECOM
2008
IEEE
14 years 1 months ago
Low-Complexity Maximum Likelihood Detection of Orthogonal Space-Time Block Codes
Abstract— In this paper, we propose a low complexity Maximum Likelihood (ML) decoding algorithm for orthogonal spacetime block codes (OSTBCs) based on the real-valued lattice rep...
Luay Azzam, Ender Ayanoglu
IPPS
2000
IEEE
13 years 11 months ago
MAJC-5200: A High Performance Microprocessor for Multimedia Computing
The newly introduced Microprocessor Architecture for Java Computing MAJC supports parallelism in a hierarchy of levels: multiprocessors on chip,vertical micro threading, instruct...
Subramania Sudharsanan
SC
1991
ACM
13 years 11 months ago
Performance results for two of the NAS parallel benchmarks
Two problems from the recently published “NAS Parallel Benchmarks” have been implemented on three advanced parallel computer systems. These two benchmarks are the following: (...
David H. Bailey, Paul O. Frederickson
CORR
2002
Springer
117views Education» more  CORR 2002»
13 years 7 months ago
Detecting Race Conditions in Parallel Programs that Use Semaphores
Abstract. We address the problem of detecting race conditions in programs that use semaphores for synchronization. Netzer and Miller showed that it is NP-complete to detect race co...
Philip N. Klein, Hsueh-I Lu, Robert H. B. Netzer