Results 11 to 20 of about 2,053,524 (303)
Integrating Task and Data Parallelism [PDF]
Proceedings of the 1993 ACM/IEEE conference on Supercomputing - Supercomputing '93, 1993 Many models of concurrency and concurrent programming have been proposed; most can be categorized as either task-parallel (based on functional decomposition) or data-parallel (based on data decomposition).
Massingill, Berna Linda
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Task parallelism and high-performance languages [PDF]
IEEE Parallel & Distributed Technology: Systems & Applications, 1996 The definition of High Performance Fortran (HPF) is a significant event in the maturation of parallel computing: it represents the first parallel language that has gained widespread support from vendors and users.
Ian Foster, Foster, I., I. Foster
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A proposal for task parallelism in OpenMP
, 2007 This paper presents a novel proposal to define task parallelism in OpenMP. Task parallelism has been lacking in the OpenMP language for a number of years already.
Ayguadé Parra, Eduard +8 more
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Hardware Acceleration of Stochastic Neural Networks Enabled by Bit-Cell Level Co-Design of Magnetic Tunnel Junctions. [PDF]
Adv Sci (Weinh)An MTJ‐based probabilistic processing‐in‐memory architecture unites nonvolatile storage, local entropy generation, and stochastic computation within each memory cell. Stored multi‐bit weights are converted directly into programmable stochastic bitstreams, enabling neural‐network inference, adaptive Ising optimization, and uncertainty‐aware Bayesian ...
Wang Q +6 more
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Generalized Task Parallelism [PDF]
ACM Transactions on Architecture and Code Optimization, 2015 Existing approaches to automatic parallelization produce good results in specific domains. Yet, it is unclear how to integrate their individual strengths to match the demands and opportunities of complex software. This lack of integration has both practical reasons, as integrating those largely differing approaches into one compiler would impose an ...
Kevin Streit +4 more
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Adaptive structured parallelism for computational grids [PDF]
, 2007 Algorithmic skeletons abstract commonly-used patterns of parallel computation, communication, and interaction. They provide top-down design composition and control inheritance throughout the whole structure.
Cole, Murray +4 more
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Exploiting parallelism in coalgebraic logic programming [PDF]
, 2014 We present a parallel implementation of Coalgebraic Logic Programming (CoALP) in the programming language Go. CoALP was initially introduced to reflect coalgebraic semantics of logic programming, with coalgebraic derivation algorithm featuring both ...
Schmidt, Martin +7 more
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Reduced pattern training based on task decomposition using pattern distributor [PDF]
, 2007 Task Decomposition with Pattern Distributor (PD) is a new task decomposition method for multilayered feedforward neural networks. Pattern distributor network is proposed that implements this new task decomposition method.
Guan, SU, Neo, T, Bao, C
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Adaptive memory reservation strategy for heavy workloads in the Spark environment [PDF]
PeerJ Computer ScienceThe rise of the Internet of Things (IoT) and Industry 2.0 has spurred a growing need for extensive data computing, and Spark emerged as a promising Big Data platform, attributed to its distributed in-memory computing capabilities.
Bohan Li +6 more
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IEEE Access, 2021 Processing-in-memory (PIM) comprises computational logic in the memory domain. It is the most promising solution to alleviate the memory bandwidth problem in deep neural network (DNN) processing.
Young Sik Lee, Tae Hee Han
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