A Scheduling Method of Moldable Parallel Tasks Considering Speedup and System Load on the Cloud
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]
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
Helmholtz Solving and Performance Optimization in Global/Regional Assimilation and Prediction System
Despite efficient parallelism in the solution of physical parameterization in the Global/Regional Assimilation and Prediction System (GRAPES), the Helmholtz equation in the dynamic core, with the increase of resolution, can hardly achieve sufficient ...
Jianqiang Huang +5 more
doaj +1 more source
In this paper, we propose a model-based workflow to generate parallel code on a multiple instruction stream, multiple data stream (MIMD) processor with vector accelerator (MIMDV) from a Simulink model. Solving data- and task-parallelism is crucial during
Shanwen Wu +3 more
doaj +1 more source
Basic principles of odontopreparation for non-removable orthopedic structures (literature review)
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
Parallelism Strategies for Big Data Delayed Transfer Entropy Evaluation
Generated and collected data have been rising with the popularization of technologies such as Internet of Things, social media, and smartphone, leading big data term creation. One class of big data hidden information is causality.
Jonas R. Dourado +2 more
doaj +1 more source
Executing linear algebra kernels in heterogeneous distributed infrastructures with PyCOMPSs
Python is a popular programming language due to the simplicity of its syntax, while still achieving a good performance even being an interpreted language. The adoption from multiple scientific communities has evolved in the emergence of a large number of
Amela Ramon +4 more
doaj +1 more source
Multi-Satellite Task Parallelism via Priority-Aware Decomposition and Dynamic Resource Mapping
Multi-satellite collaborative computing has achieved task decomposition and collaborative execution through inter-satellite links (ISLs), which has significantly improved the efficiency of task execution and system responsiveness.
Shangpeng Wang +4 more
doaj +1 more source
Implementation and Evaluation of Dynamic Task Allocation for Human–Robot Collaboration in Assembly
Human–robot collaboration is becoming increasingly important in industrial assembly. In view of high cost pressure, resulting productivity requirements, and the trend towards human-centered automation in the context of Industry 5.0, a reasonable ...
Christoph Petzoldt +5 more
doaj +1 more source
HARD: A performance portable radiation hydrodynamics code based on FleCSI framework
Hydrodynamics And Radiation Diffusion (HARD) is an open-source application for high-performance simulations of compressible hydrodynamics with radiation-diffusion coupling.
Julien Loiseau +9 more
doaj +1 more source

