Results 71 to 80 of about 21,441,590 (245)
Threads and Or-Parallelism Unified
, 2010 One of the main advantages of Logic Programming (LP) is that it provides an excellent framework for the parallel execution of programs. In this work we investigate novel techniques to efficiently exploit parallelism from real-world applications in low ...
Carro +12 more
core +1 more source
Foot & Ankle Orthopaedics, 2022 Category: Trauma Introduction/Purpose: The parallel nature of the 1st and 2nd metatarsal has been reported in Lisfranc type injuries to the midfoot, reportedly the result of the lateral and dorsal subluxation of the 2nd metatarsal base.
Lyndon W. Mason MB BCh, MRCS(Eng), FRCS(TR&Orth), FRCS(Glasg) +7 more
doaj +1 more source
Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning [PDF]
arXiv, 2022 Alpa automates model-parallel training of large deep learning (DL) models by generating execution plans that unify data, operator, and pipeline parallelism. Existing model-parallel training systems either require users to manually create a parallelization plan or automatically generate one from a limited space of model parallelism configurations.
arxiv
Automatic Parallelisation of Web Applications [PDF]
, 2008 Small web applications have a tendency to get bigger. Yet despite the current popularity of web applications, little has been done to help programmers to leverage the performance and scalability benefits that can result from the introduction of ...
Perrone, Gian David, Streader, David
core
A Pipeline-Based ODE Solving Framework
IEEE AccessThe traditional parallel solving methods of ordinary differential equations (ODE) are mainly classified into task-parallelism, data-parallelism, and instruction-level parallelism.
Ruixia Cao, Shangjun Hou, Lin Ma
doaj +1 more source
Data-Parallel Hashing Techniques for GPU Architectures [PDF]
arXiv, 2018 Hash tables are one of the most fundamental data structures for effectively storing and accessing sparse data, with widespread usage in domains ranging from computer graphics to machine learning. This study surveys the state-of-the-art research on data-parallel hashing techniques for emerging massively-parallel, many-core GPU architectures. Key factors
arxiv
Unifying Data, Model and Hybrid Parallelism in Deep Learning via Tensor Tiling [PDF]
arXiv, 2018 Deep learning systems have become vital tools across many fields, but the increasing model sizes mean that training must be accelerated to maintain such systems' utility. Current systems like Tensorflow and MXNet focus on one specific parallelization strategy, data parallelism, which requires large training batch sizes in order to scale.
arxiv
Data parallelism in bioinformatics workflows using Hydra
IEEE International Symposium on High-Performance Parallel Distributed Computing, 2010 Large scale bioinformatics experiments are usually composed by a set of data flows generated by a chain of activities (programs or services) that may be modeled as scientific workflows.
Fábio Coutinho +6 more
semanticscholar +1 more source
Response errors explain the failure of independent-channels models of perception of temporal order
Frontiers in Psychology, 2012 Independent-channels models of perception of temporal order (also referred to as threshold models or perceptual latency models) have been ruled out because two formal properties of these models (monotonicity and parallelism) are not borne out by data ...
Miguel A García-Pérez +1 more
doaj +1 more source
Parallel MATLAB Techniques [PDF]
, 2014 In this chapter, we show why parallel MATLAB is useful, provide a comparison of the different parallel MATLAB choices, and describe a number of applications in Signal and Image Processing: Audio Signal Processing, Synthetic Aperture Radar (SAR) Processing and Superconducting Quantum Interference Filters (SQIFs).
arxiv +1 more source