Results 51 to 60 of about 42,875 (250)

An Architecture for a Tri-Programming Model-Based Parallel Hybrid Testing Tool

Applied Sciences, 2023
As the development of high-performance computing (HPC) is growing, exascale computing is on the horizon. Therefore, it is imperative to develop parallel systems, such as graphics processing units (GPUs) and programming models, that can effectively ...
Saeed Musaad Altalhi, Fathy Elbouraey Eassa, Abdullah Saad Al-Malaise Al-Ghamdi, Sanaa Abdullah Sharaf, Ahmed Mohammed Alghamdi, Khalid Ali Almarhabi, Maher Ali Khemakhem   +6 more
doaj   +1 more source

StePS: A Multi-GPU Cosmological N-body Code for Compactified Simulations [PDF]

, 2019
We present the multi-GPU realization of the StePS (Stereographically Projected Cosmological Simulations) algorithm with MPI-OpenMP-CUDA hybrid parallelization and nearly ideal scale-out to multiple compute nodes.
Csabai, István, Dobos, László, Rácz, Gábor, Szalay, Alexander S., Szapudi, István   +4 more
core   +2 more sources

Анализ эффективности гибридного параллельного алгоритма численного решения задачи Коши для эредитарных моделей объемной активности радона в рамках программного комплекса FEVO

Vestnik KRAUNC: Fiziko-Matematičeskie Nauki
В статье представлено исследование вычислительной эффективности гибридного параллельного алгоритма, реализующего нелокальную неявную конечно-разностную схему (IFDS) для численного решения задачи динамики объемной активности радона (ОАР).
Твёрдый, Д.А.
doaj   +1 more source

Parallel Simulations of Dynamic Earthquake Rupture along Geometrically Complex Faults on CMP Systems

Journal of Algorithms & Computational Technology, 2011
Chip multiprocessors (CMP) are widely used for high performance computing and are being configured in a hierarchical manner to compose a CMP compute node in a CMP system.
Xingfu Wu, Benchun Duan, Valerie Taylor
doaj   +1 more source

Characterizing task-based OpenMP programs. [PDF]

PLoS ONE, 2015
Programmers struggle to understand performance of task-based OpenMP programs since profiling tools only report thread-based performance. Performance tuning also requires task-based performance in order to balance per-task memory hierarchy utilization ...
Ananya Muddukrishna, Peter A Jonsson, Mats Brorsson   +2 more
doaj   +1 more source

Implementing implicit OpenMP data sharing on GPUs

, 2017
OpenMP is a shared memory programming model which supports the offloading of target regions to accelerators such as NVIDIA GPUs. The implementation in Clang/LLVM aims to deliver a generic GPU compilation toolchain that supports both the native CUDA C/C++
Bataev, Alexey, Bercea, Gheorghe-Teodor, Bertolli, Carlo, Chen, Tong, Eichenberger, Alexandre, Jacob, Arpith C., O'Brien, Kevin, Rokos, Georgios, Sung, Hyojin   +8 more
core   +1 more source

OpenMP to CUDA graphs: a compiler-based transformation to enhance the programmability of NVIDIA devices

Software and Compilers for Embedded Systems, 2020
Heterogeneous computing is increasingly being used in a diversity of computing systems, ranging from HPC to the real-time embedded domain, to cope with the performance requirements.
Chen Yu, Sara Royuela, Eduardo Quiñones
semanticscholar   +1 more source

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

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