Results 21 to 30 of about 3,076,045 (348)

Dps-MuSyQ: A Distributed Parallel Processing System for Multi-Source Data Synergized Quantitative Remote Sensing Products Producing

open access: yesIEEE Access, 2020
With the development of earth observation technologies and the construction of earth observation systems, an increasing amount of remote sensing data are being obtained. These provide the datasets required for research on remote sensing monitoring across
Hongyi Li, Ping Tang
doaj   +1 more source

Exploiting Task Parallelism with OpenCL: A Case Study

open access: yesJournal of Signal Processing Systems, 2018
While data parallelism aspects of OpenCL have been of primary interest due to the massively data parallel GPUs being on focus, OpenCL also provides powerful capabilities to describe task parallelism.
P. Jääskeläinen   +8 more
semanticscholar   +2 more sources

Optimizing Iterative Data-Flow Scientific Applications Using Directed Cyclic Graphs

open access: yesIEEE Access, 2023
Data-flow programming models have become a popular choice for writing parallel applications as an alternative to traditional work-sharing parallelism. They are better suited to write applications with irregular parallelism that can present load imbalance.
David Alvarez, Vicenc Beltran
doaj   +1 more source

SpECTRE: A Task-based Discontinuous Galerkin Code for Relativistic Astrophysics [PDF]

open access: yes, 2017
We introduce a new relativistic astrophysics code, SpECTRE, that combines a discontinuous Galerkin method with a task-based parallelism model. SpECTRE's goal is to achieve more accurate solutions for challenging relativistic astrophysics problems such as
Bohn, Andy   +13 more
core   +2 more sources

Hardware acceleration of number theoretic transform for zk‐SNARK

open access: yesEngineering Reports, EarlyView., 2023
An FPGA‐based hardware accelerator with a multi‐level pipeline is designed to support the large‐bitwidth and large‐scale NTT tasks in zk‐SNARK. It can be flexibly scaled to different scales of FPGAs and has been equipped in the heterogeneous acceleration system with the help of HLS and OpenCL.
Haixu Zhao   +6 more
wiley   +1 more source

The Analysis of Task and Data Characteristic and the Collaborative Processing Method in Real-Time Visualization Pipeline of Urban 3DGIS

open access: yesISPRS International Journal of Geo-Information, 2017
Parallel processing in the real-time visualization of three-dimensional Geographic Information Systems (3DGIS) has tended to concentrate on algorithm levels in recent years, and most of the existing methods employ multiple threads in a Central Processing
Dongbo Zhou   +4 more
doaj   +1 more source

A Parallelised ROOT for Future HEP Data Processing [PDF]

open access: yesEPJ Web of Conferences, 2019
In the coming years, HEP data processing will need to exploit parallelism on present and future hardware resources to sustain the bandwidth requirements. As one of the cornerstones of the HEP software ecosystem, ROOT embraced an ambitious parallelisation
Piparo Danilo   +6 more
doaj   +1 more source

GPU-Based Cellular Automata Model for Multi-Orient Dendrite Growth and the Application on Binary Alloy

open access: yesCrystals, 2023
To simulate dendrite growth with different orientations more efficiently, a high-performance cellular automata (CA) model based on heterogenous central processing unit (CPU)+ graphics processing unit (GPU) architecture has been proposed in this paper ...
Jingjing Wang   +3 more
doaj   +1 more source

Integrating Job Parallelism in Real-Time Scheduling Theory [PDF]

open access: yes, 2008
We investigate the global scheduling of sporadic, implicit deadline, real-time task systems on multiprocessor platforms. We provide a task model which integrates job parallelism.
Baker   +14 more
core   +6 more sources

Increasing the degree of parallelism using speculative execution in task-based runtime systems [PDF]

open access: yesPeerJ Computer Science, 2019
Task-based programming models have demonstrated their efficiency in the development of scientific applications on modern high-performance platforms. They allow delegation of the management of parallelization to the runtime system (RS), which is in charge
Bérenger Bramas
doaj   +2 more sources

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