Results 61 to 70 of about 21,441,590 (245)

Partial Parallelism Plots

open access: yesApplied Sciences
Demonstrating parallelism in quantitative laboratory tests is crucial to ensure accurate reporting of data and minimise risks to patients. Regulatory authorities make the demonstration of parallelism before clinical use approval mandate.
Axel Petzold
doaj   +1 more source

Strategies and Principles of Distributed Machine Learning on Big Data

open access: yesEngineering, 2016
The rise of big data has led to new demands for machine learning (ML) systems to learn complex models, with millions to billions of parameters, that promise adequate capacity to digest massive datasets and offer powerful predictive analytics (such as ...
Eric P. Xing   +3 more
doaj   +1 more source

The Potential of Synergistic Static, Dynamic and Speculative Loop Nest Optimizations for Automatic Parallelization [PDF]

open access: yes, 2010
Research in automatic parallelization of loop-centric programs started with static analysis, then broadened its arsenal to include dynamic inspection-execution and speculative execution, the best results involving hybrid static-dynamic schemes.
Baghdadi, Riyadh   +4 more
core   +4 more sources

Parallel and Distributed Performance of a Depth Estimation Algorithm [PDF]

open access: yes, 2013
Expansion of dataset sizes and increasing complexity of processing algorithms have led to consideration of parallel and distributed implementations. The rationale for distributing the computational load may be to thin-provision computational resources ...
Calder, Brian R.
core   +1 more source

OpenCL Actors - Adding Data Parallelism to Actor-based Programming with CAF

open access: yes, 2017
The actor model of computation has been designed for a seamless support of concurrency and distribution. However, it remains unspecific about data parallel program flows, while available processing power of modern many core hardware such as graphics ...
A Klöckner   +10 more
core   +1 more source

Pipeline Parallelism With Elastic Averaging

open access: yesIEEE Access
To accelerate the training speed of massive DNN models on large-scale datasets, distributed training techniques, including data parallelism and model parallelism, have been extensively studied.
Bongwon Jang, In-Chul Yoo, Dongsuk Yook
doaj   +1 more source

The effects of host ecology and phylogeny on gut microbiota (non)parallelism across birds and mammals

open access: yesmSphere, 2023
The gut microbiota plays a crucial role in the biological function of their hosts since bacteria provide nutrient processing, protection against pathogens, and modulation of the immune system.
Andreas Härer, Diana J. Rennison
doaj   +1 more source

Stream parallelism with ordered data constraints on multi-core systems

open access: yesJournal of Supercomputing, 2018
It is often a challenge to keep input/output tasks/results in order for parallel computations over data streams, particularly when stateless task operators are replicated to increase parallelism when there are irregular tasks.
Dalvan Griebler   +3 more
semanticscholar   +1 more source

A Data-Parallel Version of Aleph [PDF]

open access: yesarXiv, 2007
This is to present work on modifying the Aleph ILP system so that it evaluates the hypothesised clauses in parallel by distributing the data-set among the nodes of a parallel or distributed machine. The paper briefly discusses MPI, the interface used to access message- passing libraries for parallel computers and clusters.
arxiv  

The VolumePro Volume Rendering Cluster: A Vital Component of Parallel End-to-End Solution [PDF]

open access: yes, 2003
As data sets, both acquired from scanners and those generated from complex simulations, grow in size and complexity, researchers continue to push the boundaries of the amount of data that can be viewed, processed and analyzed interactively.
Lombeyda, Santiago, McCorquodale, John
core  

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