Results 151 to 160 of about 27,095 (213)

A highly energy-efficient multi-core neuromorphic architecture for training deep spiking neural networks. [PDF]

Nat Commun
Li M, Zhou H, Xu X, Zhong Z, Quan P, Zhu X, Lin Y, Lin W, Li X, Wang D, Zhang J, Ma Y, Cui X, Wang W, Meng Q, Ma Z, Li G, Cui X, Tian Y.   +18 more
europepmc   +1 more source

Three-dimensional crown-root movement in first premolar extraction cases treated with two clear aligner systems based on different materials: a retrospective cohort study. [PDF]

Prog Orthod
Qu L, Fang R, Li R, Yang Z, Li Y, Chen X, Chen B, Wang J, Yuan L, Xia L, Fang B.   +10 more
europepmc   +1 more source

Domain-Specific Acceleration of Gravity Forward Modeling via Hardware-Software Co-Design. [PDF]

Micromachines (Basel)
Yang Y, Sun D, Ma Z, Gu W.
europepmc   +1 more source

States With Highest and Lowest Cardiovascular Disease-Related Mortality in the United States (1999-2019): Top and Bottom 3. [PDF]

Clin Cardiol
Sohail MU, Sohail MU, Batool RM, Saad M, Waqas SA, Cheema AAA, Minhas AMK.   +6 more
europepmc   +1 more source

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Parallelism-Optimizing Data Placement for Faster Data-Parallel Computations

Proceedings of the VLDB Endowment, 2022
Systems performing large data-parallel computations, including online analytical processing (OLAP) systems like Druid and search engines like Elasticsearch, are increasingly being used for business-critical real-time applications where providing low query latency is paramount.
Nirvik Baruah, Peter Kraft, Fiodar Kazhamiaka, Peter Bailis, Matei Zaharia   +4 more
openaire   +1 more source

PROBLEMS WITH DATA PARALLELISM

Parallel Processing Letters, 2001
The gradual evolution of language features and approaches used for the programming of distributed memory machines underwent substantial advances in the 1990s. One of the most promising and widely praised approaches was based on data parallelism and resulted in High Performance Fortran. This paper reports on an experiment using that approach based on a
Carol Phillips, Ronald H. Perrott
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Data parallel algorithms

Communications of the ACM, 1986
Parallel computers with tens of thousands of processors are typically programmed in a data parallel style, as opposed to the control parallel style used in multiprocessing. The success of data parallel algorithms—even on problems that at first glance seem inherently serial—suggests that this style of programming has much wider applicability than was ...
W. Daniel Hillis, Guy L. Steele Jr.
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Parallel simulation of data parallel programs

1996
Accurate simulations of parallel programs for large datasets can often be slow; parallel execution has been shown to offer significant potential in reducing the execution time of many discrete-event simulators. In this paper, we describe the design and implementation of a parallel simulator called DPSIM that simulates the execution of data parallel ...
Sundeep Prakash, Rajive L. Bagrodia
openaire   +1 more source