Results 221 to 230 of about 3,147,688 (366)

Novel List Scheduling Strategies for Data Parallelism Task Graphs

open access: bronze, 2014
Yang Liu   +3 more
openalex   +2 more sources

The Enhanced Literate Mind Hypothesis

open access: yesTopics in Cognitive Science, EarlyView.
Abstract In the present paper, we describe the Enhanced Literate Mind (ELM) hypothesis. As individuals learn to read and write, they are, from then on, exposed to extensive written‐language input and become literate. We propose that acquisition and proficient processing of written language (“literacy”) leads to, both, increased language knowledge as ...
Falk Huettig, Jan Hulstijn
wiley   +1 more source

Exploiting Task-Parallelism in Message-Passing Sparse Linear System Solvers Using OmpSs

open access: bronze, 2016
José I. Aliaga   +3 more
openalex   +1 more source

Scaling up for end-to-end on-chip photonic neural network inference. [PDF]

open access: yesLight Sci Appl
Wu B   +6 more
europepmc   +1 more source

Local Government Proliferation and Fiscal Efficiency: Evidence From Ghana

open access: yesGrowth and Change, Volume 56, Issue 4, December 2025.
ABSTRACT In many active decentralized nations in the developing world, the number of sub‐national administrative units has continued to increase over the past few decades. In most cases, this churning of more decentralized units does not go without contestation, with critics arguing that they are not done in the true spirit of decentralization but ...
Zurikanen Iddrisu   +3 more
wiley   +1 more source

A Trend Analysis of Metastatic Lung Cancer Disparities in the United States in the Era of Lung Cancer Screening. [PDF]

open access: yesCureus
Akanbi M   +7 more
europepmc   +1 more source

Scheduling task parallelism on multi-socket multicore systems [PDF]

open access: green, 2011
Stephen L. Olivier   +3 more
openalex   +1 more source

Multi GPU Sparse Matrix by Sparse Matrix Multiplication

open access: yesConcurrency and Computation: Practice and Experience, Volume 37, Issue 25-26, 30 November 2025.
ABSTRACT The paper focuses on the improvement of the existing nsparse Nagasaka et al. algorithm and its extension to the multi‐GPU setting for the application of real engineering problems. In this work, we propose a distributed multi‐GPU framework for SpGEMM that is designed specifically for the nsparse like algorithms.
Artem Mavliutov   +4 more
wiley   +1 more source

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