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» Learning in Parallel Universes
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ICS
2007
Tsinghua U.
15 years 4 months ago
Locality of sampling and diversity in parallel system workloads
Observing the workload on a computer system during a short (but not too short) time interval may lead to distributions that are significantly different from those that would be o...
Dror G. Feitelson
ASPLOS
2006
ACM
15 years 4 months ago
Accelerator: using data parallelism to program GPUs for general-purpose uses
GPUs are difficult to program for general-purpose uses. Programmers can either learn graphics APIs and convert their applications to use graphics pipeline operations or they can ...
David Tarditi, Sidd Puri, Jose Oglesby
GECCO
2006
Springer
155views Optimization» more  GECCO 2006»
15 years 1 months ago
Comparison of genetic representation schemes for scheduling soft real-time parallel applications
This paper presents a hybrid technique that combines List Scheduling (LS) with Genetic Algorithms (GA) for constructing non-preemptive schedules for soft real-time parallel applic...
Yoginder S. Dandass, Amit C. Bugde
APIN
1999
107views more  APIN 1999»
14 years 9 months ago
Massively Parallel Probabilistic Reasoning with Boltzmann Machines
We present a method for mapping a given Bayesian network to a Boltzmann machine architecture, in the sense that the the updating process of the resulting Boltzmann machine model pr...
Petri Myllymäki
ACL
2011
14 years 1 months ago
Joint Bilingual Sentiment Classification with Unlabeled Parallel Corpora
Most previous work on multilingual sentiment analysis has focused on methods to adapt sentiment resources from resource-rich languages to resource-poor languages. We present a nov...
Bin Lu, Chenhao Tan, Claire Cardie, Benjamin K. Ts...