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Implementing sparse matrix-vector multiplication on throughput-oriented processors

by Nathan Bell, Michael Garland - In SC ’09: Proceedings of the 2009 ACM/IEEE conference on Supercomputing , 2009
"... Sparse matrix-vector multiplication (SpMV) is of singular importance in sparse linear algebra. In contrast to the uniform regularity of dense linear algebra, sparse operations encounter a broad spectrum of matrices ranging from the regular to the highly irregular. Harnessing the tremendous potential ..."
Abstract - Cited by 142 (7 self) - Add to MetaCart
Sparse matrix-vector multiplication (SpMV) is of singular importance in sparse linear algebra. In contrast to the uniform regularity of dense linear algebra, sparse operations encounter a broad spectrum of matrices ranging from the regular to the highly irregular. Harnessing the tremendous

Effect of temporal envelope smearing on speech reception.

by Rob Drullman , Joost M Festen , Reinier Plomp - International Journal of Bioelectromagnetism , 2011
"... The effect of smearing the temporal envelope on the speech-reception threshold (SRT) for sentences in noise and on phoneme identification was investigated for normal-hearing listeners. For this purpose, the speech signal was split up into a series of frequency bands (width of The ear's resolut ..."
Abstract - Cited by 145 (0 self) - Add to MetaCart
syllables were studied. We adopted the second method for smearing the temporal envelope. It has the advantage that the fine structure remains intact and that we can control the process of filtering the envelope by selecting the cutoff frequency and the slope of the filter. In this way it is known how

Mining event-related brain dynamics,”

by Scott Makeig , Stefan Debener , Julie Onton , Arnaud Delorme - Trends in Cognitive Sciences, , 2004
"... This article provides a new, more comprehensive view of event-related brain dynamics founded on an information-based approach to modeling electroencephalographic (EEG) dynamics. Most EEG research focuses either on peaks 'evoked' in average eventrelated potentials (ERPs) or on changes &apo ..."
Abstract - Cited by 130 (21 self) - Add to MetaCart
'induced' in the EEG power spectrum by experimental events. Although these measures are nearly complementary, they do not fully model the event-related dynamics in the data, and cannot isolate the signals of the contributing cortical areas. We propose that many ERPs and other EEG features

Average Reward Reinforcement Learning: Foundations, Algorithms, and Empirical Results

by Sridhar Mahadevan , 1996
"... This paper presents a detailed study of average reward reinforcement learning, an undiscounted optimality framework that is more appropriate for cyclical tasks than the much better studied discounted framework. A wide spectrum of average reward algorithms are described, ranging from synchronous dyna ..."
Abstract - Cited by 130 (13 self) - Add to MetaCart
This paper presents a detailed study of average reward reinforcement learning, an undiscounted optimality framework that is more appropriate for cyclical tasks than the much better studied discounted framework. A wide spectrum of average reward algorithms are described, ranging from synchronous

Fine-tuning implications for complementary dark matter and

by S. Cassel A, D. M. Ghilencea B, S. Kraml D, A. Lessa E, G. G. Ross A
"... ar ..."
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Abstract not found

Power spectrum analysis of bursting cells in area mt in the behaving monkey

by Wyeth Bair, Christof Koch, William Newsome, Kenneth Britten - J. Neurosci , 1994
"... It is widely held that visual cortical neurons encode infor-mation primarily in their mean firing rates. Some proposals, however, emphasize the information potentially available in the temporal structure of spike trains (Optican and Rich-mond, 1987; Bialek et al., 1991), in particular with respect t ..."
Abstract - Cited by 80 (6 self) - Add to MetaCart
to stimulus-related synchronized oscillations in the 30-70 Hz range (Eckhorn et al., 1988; Gray et al., 1989; Kreiter and Singer, 1992) as well as via bursting cells (Cattaneo et al., 1981 a; Bonds, 1992). We investigate the temporal fine struc-ture of spike trains recorded in extrastriate area MT

Fine-grained Spectrum Adaptation in WiFi Networks

by Sangki Yun, Daehyeok Kim, Lili Qiu
"... Abstract – Explosive growth of WiFi traffic calls for new technologies to dramatically improve spectrum efficiency. In this paper, we propose an approach to adapt the spectrum on a per-frame basis. It consists of three major components: (i) a fine-grained spectrum access design that allows a sender ..."
Abstract - Cited by 6 (1 self) - Add to MetaCart
Abstract – Explosive growth of WiFi traffic calls for new technologies to dramatically improve spectrum efficiency. In this paper, we propose an approach to adapt the spectrum on a per-frame basis. It consists of three major components: (i) a fine-grained spectrum access design that allows a sender

Quantitative Sampling Using an Aerodyne Aerosol Mass Spectrometer 1. Techniques of Data Interpretation and Error Analysis

by James D. Allan, Jose L. Jimenez, Paul I. Williams, M. Rami Alfarra, Keith N. Bower, John T. Jayne, Hugh Coe, Douglas R. Worsnop - J , 2003
"... has been shown to be capable of delivering quantitative information on the chemical composition and size of volatile and semivolatile fine airborne particulate matter with high time resolution. Analytical and software tools for interpreting the data from this instrument and generating meaningful, qu ..."
Abstract - Cited by 113 (46 self) - Add to MetaCart
has been shown to be capable of delivering quantitative information on the chemical composition and size of volatile and semivolatile fine airborne particulate matter with high time resolution. Analytical and software tools for interpreting the data from this instrument and generating meaningful

Efficient sparse matrix-vector multiplication on CUDA

by Nathan Bell, Michael Garland , 2008
"... The massive parallelism of graphics processing units (GPUs) offers tremendous performance in many high-performance computing applications. While dense linear algebra readily maps to such platforms, harnessing this potential for sparse matrix computations presents additional challenges. Given its rol ..."
Abstract - Cited by 113 (2 self) - Add to MetaCart
for the fine-grained parallel architecture of the GPU. Given the memory-bound nature of SpMV, we emphasize memory bandwidth efficiency and compact storage formats. We consider a broad spectrum of sparse matrices, from those that are well-structured and regular to highly irregular matrices with large imbalances

interventions for Autistic Spectrum Disorder

by Laura Cook, Khalid Karim
"... ccp.sagepub.com Complementary or controversial care? The opinions of professionals on complementary and alternative ..."
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ccp.sagepub.com Complementary or controversial care? The opinions of professionals on complementary and alternative
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