Results 41 to 50 of about 31,177 (208)

Peachy Parallel Assignments (EduHPC 2018) [PDF]

, 2018
Peachy Parallel Assignments are a resource for instructors teaching parallel and distributed programming. These are high-quality assignments, previously tested in class, that are readily adoptable.
Alvarez, Lluc, Ayaguadé, Eduard, Banchelli, Fabio, Bunde, David P., Burtscher, Martin, González Escribano, Arturo, Gutierrez, Julian, Joiner, David A., Kaeli, David, Previlon, Fritz, Rodríguez Gutiez, Eduardo   +10 more
core   +2 more sources

An implementation of a plasma physics application for distributed-memory supercomputers using a directive-based programming framework

Revista Colombiana de Computación
To extract performance from supercomputers, programmers in the High Performance Computing (HPC) community are often required to use a combination of frameworks to take advantage of the multiple levels of parallelism. However, over the years, efforts have
Christian Asch, Emilio Francesquini, Esteban Meneses   +2 more
doaj   +1 more source

CoreTSAR: Task Scheduling for Accelerator-aware Runtimes [PDF]

, 2012
Heterogeneous supercomputers that incorporate computational accelerators such as GPUs are increasingly popular due to their high peak performance, energy efficiency and comparatively low cost.
de Supinski, Bronis R., Feng, Wu-chun, Rountree, Barry, Scogland, Thomas R. W.   +3 more
core   +1 more source

Performance and Cost Evaluation of StarPU on AWS: Case Studies With Dense Linear Algebra Kernels and N‐Body Simulations

Concurrency and Computation: Practice and Experience, Volume 38, Issue 3, February 2026.
ABSTRACT Task‐based programming interfaces introduce a paradigm in which computations are decomposed into fine‐grained units of work known as “tasks”. StarPU is a runtime system originally developed to support task‐based parallelism on on‐premise heterogeneous architectures by abstracting low‐level hardware details and efficiently managing resource ...
Vanderlei Munhoz, Vinicius G. Pinto, João V. F. Lima, Márcio Castro, Daniel Cordeiro, Emilio Francesquini   +5 more
wiley   +1 more source

Multisegment Parallel Coregistration of Sentinel-1 SAR Time-Series Images by Combining OpenMP With MPI

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Sentinel-1 synthetic aperture radar (SAR) imagery, with its wide-swath imaging capabilities, provides crucial data for large-area interferometric SAR (InSAR) surface deformation monitoring.
Yonghui Kang, Yonghong Zhang, Hong'an Wu, Jujie Wei, Xiaoxue Sun, Yue Zuo   +5 more
doaj   +1 more source

A Comparison of some recent Task-based Parallel Programming Models [PDF]

, 2010
The need for parallel programming models that are simple to use and at the same time efficient for current ant future parallel platforms has led to recent attention to task-based models such as Cilk++, Intel TBB and the task concept in OpenMP version 3.0.
Brorsson, Mats, Faxén, Karl-Filip, Podobas, Artur   +2 more
core   +1 more source

Multithread Approximation: An OpenMP Constructor

Concurrency and Computation: Practice and Experience, Volume 38, Issue 4, February 2026.
ABSTRACT This study introduces an OpenMP construct designed to simplify and unify the integration of approximate computing techniques into shared‐memory parallel programs. Approximate Computing leverages the inherent error tolerance of many applications to trade computational accuracy for gains in performance and energy efficiency.
João Briganti de Oliveira, Rogério Aparecido Gonçalves, João Fabrício Filho   +2 more
wiley   +1 more source

Seismic Numerical Simulation Based on Half-precision Floating-point Number Optimization and OpenMP

CT Lilun yu yingyong yanjiu
Studying the propagation law of seismic wavefields is the basis of seismic exploration. The finite difference method is commonly used to solve the wave equation for seismic forward modeling, which has advantages of low memory usage, fast computation ...
Wenge LIU, Wenmao TU, Qisong MOU, Kang CHEN, Milu ZHOU   +4 more
doaj   +1 more source

NScluster: An R Package for Maximum Palm Likelihood Estimation for Cluster Point Process Models Using OpenMP

Journal of Statistical Software, 2021
NScluster is an R package used for simulation and parameter estimation for NeymanScott cluster point process models and their extensions. For parameter estimation, NScluster uses the maximum Palm likelihood estimation procedure.
Ushio Tanaka, Masami Saga, Junji Nakano
doaj   +1 more source

Benchmarking the Intel®Xeon®Platinum 8160 Processor [PDF]

, 2017
This report presents a set of results for different microbenchmarks and applications on the Intel Xeon Platinum8160 Processor, formerly known as Skylake. For simplicity, we will use both Skylake and SKX to refer to this processor.
Chen, Feng, Gómez-Iglesias, Antonio, Huang, Lei, Liu, Hang, Liu, Si, Rosales, Carlos   +5 more
core   +1 more source