Results 41 to 50 of about 3,076,045 (348)

A Proposal for Task Parallelism in OpenMP

open access: yes, 2008
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. As we show, this makes certain kinds of applications difficult to parallelize, inefficient or both.
Ayguadé Parra, Eduard   +8 more
openaire   +3 more sources

Benefits of Open Quantum Systems for Quantum Machine Learning

open access: yesAdvanced Quantum Technologies, EarlyView., 2023
Quantum machine learning (QML), poised to transform data processing, faces challenges from environmental noise and dissipation. While traditional efforts seek to combat these hindrances, this perspective proposes harnessing them for potential advantages. Surprisingly, under certain conditions, noise and dissipation can benefit QML.
María Laura Olivera‐Atencio   +2 more
wiley   +1 more source

Dynamic Multigrain Parallelization on the Cell Broadband Engine [PDF]

open access: yes, 2006
This paper addresses the problem of orchestrating and scheduling parallelism at multiple levels of granularity on heterogeneous multicore processors.
Antonopoulos, Christos   +3 more
core   +1 more source

Extending NUMA-BTLP Algorithm with Thread Mapping Based on a Communication Tree

open access: yesComputers, 2018
The paper presents a Non-Uniform Memory Access (NUMA)-aware compiler optimization for task-level parallel code. The optimization is based on Non-Uniform Memory Access—Balanced Task and Loop Parallelism (NUMA-BTLP) algorithm Ştirb, 2018.
Iulia Știrb
doaj   +1 more source

Deep Reinforcement Learning Acceleration for Real-Time Edge Computing Mixed Integer Programming Problems

open access: yesIEEE Access, 2022
In this work, we present the design and implementation of an ultra-low latency Deep Reinforcement Learning (DRL) FPGA based accelerator for addressing hard real-time Mixed Integer Programming problems.
Gerasimos Gerogiannis   +5 more
doaj   +1 more source

Reduced pattern training based on task decomposition using pattern distributor [PDF]

open access: yes, 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.
Bao, C, Guan, SU, Neo, T
core   +1 more source

THE SEMANTICS OF GRAMMICAL PARALLELISM CONSTRUCTIONSIN THE OLD RUSSIAN ORATORICAL PROSE

open access: yesSovremennye Issledovaniâ Socialʹnyh Problem, 2020
Purpose. The relevance of the study is determined by the increased interest of modern philology in the problems of constructing and interpreting the text.
Konstantin Andreevich Kalinin
doaj   +1 more source

Basic principles of odontopreparation for non-removable orthopedic structures (literature review)

open access: yesВестник медицинского института «Реавиз»: Реабилитация, врач и здоровье, 2021
Introduction. The actual problem of dentists-orthopedists at the present time is a violation of the odontopreparation protocol and, as a result, poor-quality fixation of various non-removable orthopedic structures.
D. I. Dmitriev   +2 more
doaj   +1 more source

A Scheduling Method of Moldable Parallel Tasks Considering Speedup and System Load on the Cloud

open access: yesIEEE Access, 2019
The moldable parallel task (MPT) is a kind of parallel task that their sub-tasks hold the resources exclusively, which has been widely used in different areas. Our paper focuses on the scheduling of moldable tasks when every sub-task supports time-slice.
Jianmin Li, Ying Zhong, Xin Zhang
doaj   +1 more source

Performance monitoring and analysis of task-based OpenMP. [PDF]

open access: yesPLoS ONE, 2013
OpenMP, a typical shared memory programming paradigm, has been extensively applied in high performance computing community due to the popularity of multicore architectures in recent years.
Yi Ding, Kai Hu, Kai Wu, Zhenlong Zhao
doaj   +1 more source

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