Results 11 to 20 of about 109,285 (289)

Optimizing Iterative Data-Flow Scientific Applications Using Directed Cyclic Graphs

IEEE 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]

, 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, Deppe, Nils, Diener, Peter, Field, Scott E., Foucart, Francois, Hébert, François, Kidder, Lawrence E., Lippuner, Jonas, Miller, Jonah, Ott, Christian D., Scheel, Mark A., Schnetter, Erik, Teukolsky, Saul A., Vincent, Trevor   +13 more
core   +2 more sources

Automatic Inference of Task Parallelism in Task-Graph-Based Actor Models

IEEE Access, 2018
Automatic inference of task level parallelism is fundamental for ensuring many kinds of safety and liveness properties of parallel applications. For example, two tasks running in parallel may be involved in data races when they have conflicting memory ...
Abu Naser Masud, Bjorn Lisper, Federico Ciccozzi   +2 more
doaj   +1 more source

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

ISPRS 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, Gang Jiang, Jie Yu, Leyuan Liu, Wenbo Li   +4 more
doaj   +1 more source

Task Parallelism-Aware Deep Neural Network Scheduling on Multiple Hybrid Memory Cube-Based Processing-in-Memory

IEEE Access, 2021
Processing-in-memory (PIM) comprises computational logic in the memory domain. It is the most promising solution to alleviate the memory bandwidth problem in deep neural network (DNN) processing.
Young Sik Lee, Tae Hee Han
doaj   +1 more source

Dynamic Multigrain Parallelization on the Cell Broadband Engine [PDF]

, 2006
This paper addresses the problem of orchestrating and scheduling parallelism at multiple levels of granularity on heterogeneous multicore processors.
Antonopoulos, Christos, Blagojevic, Filip, Nikolopoulos, Dimitrios, Stamatakis, Alexandros   +3 more
core   +1 more source

A Parallelised ROOT for Future HEP Data Processing [PDF]

EPJ 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, Canal Philippe, Amadio Guilherme, Guiraud Enrico, Naumann Axel, Valls Xavier, Tejedor Enric   +6 more
doaj   +1 more source

MPI+X: task-based parallelization and dynamic load balance of finite element assembly [PDF]

, 2018
The main computing tasks of a finite element code(FE) for solving partial differential equations (PDE's) are the algebraic system assembly and the iterative solver. This work focuses on the first task, in the context of a hybrid MPI+X paradigm.
Artigues, Antoni, Ferrer, Roger, Garcia-Gasulla, Marta, Houzeaux, Guillaume, Labarta, Jesús, López, Victor, Vázquez, Mariano   +6 more
core   +4 more sources

Efficient Task Flow Parallel System for New Generation Sunway Processor [PDF]

Jisuanji kexue
China’s independently developed next-generation Sunway supercomputer features a more powerful memory system and higher computational density compared to its predecessor,the Sunway TaihuLight.Its primary programming model remains the bulk synchronous ...
FU You, DU Leiming, GAO Xiran, CHEN Li
doaj   +1 more source

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

Crystals, 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, Hongji Meng, Jian Yang, Zhi Xie   +3 more
doaj   +1 more source