標(biāo)題: Titlebook: Advancing OpenMP for Future Accelerators; 20th International W Alexis Espinosa,Michael Klemm,Jannis Klinkenberg Conference proceedings 2024 [打印本頁(yè)] 作者: Coarctation 時(shí)間: 2025-3-21 19:31
書(shū)目名稱Advancing OpenMP for Future Accelerators影響因子(影響力)
書(shū)目名稱Advancing OpenMP for Future Accelerators影響因子(影響力)學(xué)科排名
書(shū)目名稱Advancing OpenMP for Future Accelerators網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Advancing OpenMP for Future Accelerators網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Advancing OpenMP for Future Accelerators被引頻次
書(shū)目名稱Advancing OpenMP for Future Accelerators被引頻次學(xué)科排名
書(shū)目名稱Advancing OpenMP for Future Accelerators年度引用
書(shū)目名稱Advancing OpenMP for Future Accelerators年度引用學(xué)科排名
書(shū)目名稱Advancing OpenMP for Future Accelerators讀者反饋
書(shū)目名稱Advancing OpenMP for Future Accelerators讀者反饋學(xué)科排名
作者: 確定方向 時(shí)間: 2025-3-21 22:59
Performance Porting the?ExaStar Multi-Physics App Thornado On Heterogeneous Systems - A Fortran-Openems. For this study, three HPC systems were chosen: Sunspot, a test-bed system of the Intel-PVC GPU featured supercomputer Aurora and Polaris, an NVIDIA system accelerated by A100 GPU, both located at the Argonne Leadership Computing Facility (ALCF), and the AMD-MI250-based Frontier at the Oak Ridge作者: 后退 時(shí)間: 2025-3-22 04:22 作者: 執(zhí) 時(shí)間: 2025-3-22 08:25
Integrating Multi-FPGA Acceleration to?OpenMP Distributed Computingachieved by adding only a few lines of standard OpenMP code to the application. The resulting framework was applied to the heterogeneous acceleration of an image recoloring application. Experimental results demonstrate speed-ups gains using different acceleration arrangements with CPU, GPU and FPGA.作者: garrulous 時(shí)間: 2025-3-22 09:00 作者: 萬(wàn)神殿 時(shí)間: 2025-3-22 15:16
Survey of?OpenMP Practice in?General Open Source Softwaregood practices from the HPC community?" In particular, we find that . of projects contain at least one example of a rather simple parallel region. In these cases, it is questionable whether parallelization is worth the overhead necessary for thread creation and management. We also observe from the c作者: 側(cè)面左右 時(shí)間: 2025-3-22 19:31
CI/CD Efforts for?Validation, Verification and?Benchmarking OpenMP Implementationsrs across different heterogeneous HPC platforms. With the comprehensive testing through the CI/CD workflow, we aim to provide a comprehensive understanding of the current state of OpenMP (offloading) support in different compilers and heterogeneous platforms consisting of CPUs and GPUs from NVIDIA, 作者: 有雜色 時(shí)間: 2025-3-22 23:52
Finding Equivalent OpenMP Fortran and?C/C++ Code Snippets Using Large Language Modelsng of LLMs’ capabilities in cross-language code snippet identification, ultimately offering actionable recommendations for practitioners seeking to leverage these models for automated dataset generation.作者: calorie 時(shí)間: 2025-3-23 02:56
Visualizing Correctness Issues in?OpenMP Programsbuilder introduces minimal overhead when integrated with state-of-the-art race detectors. We also conducted a user study involving a control group and an experimental group. The results show that our visualization greatly aids programmers in understanding and debugging data races. Beyond our main co作者: 跳動(dòng) 時(shí)間: 2025-3-23 05:53 作者: flaunt 時(shí)間: 2025-3-23 11:45 作者: Interdict 時(shí)間: 2025-3-23 16:50
Building Theories in Software Engineeringcality-aware device selection capabilities, necessitating manual code optimization for specific architectures. Our research addresses these issues by exploring CPU-to-GPU offloading performance, suggesting locality-aware host-to-device API extensions for OpenMP, and incorporating these extensions in作者: 格子架 時(shí)間: 2025-3-23 20:14
Ivan Nikitin,Vitaly Romanov,Giancarlo Succiems. For this study, three HPC systems were chosen: Sunspot, a test-bed system of the Intel-PVC GPU featured supercomputer Aurora and Polaris, an NVIDIA system accelerated by A100 GPU, both located at the Argonne Leadership Computing Facility (ALCF), and the AMD-MI250-based Frontier at the Oak Ridge作者: 無(wú)能的人 時(shí)間: 2025-3-23 23:15 作者: Fortify 時(shí)間: 2025-3-24 06:04 作者: Thrombolysis 時(shí)間: 2025-3-24 10:30 作者: BARGE 時(shí)間: 2025-3-24 14:28
Guide to Antibiotics in Urologygood practices from the HPC community?" In particular, we find that . of projects contain at least one example of a rather simple parallel region. In these cases, it is questionable whether parallelization is worth the overhead necessary for thread creation and management. We also observe from the c作者: MERIT 時(shí)間: 2025-3-24 15:28
Gianpaolo Perletti,Vittorio Magrirs across different heterogeneous HPC platforms. With the comprehensive testing through the CI/CD workflow, we aim to provide a comprehensive understanding of the current state of OpenMP (offloading) support in different compilers and heterogeneous platforms consisting of CPUs and GPUs from NVIDIA, 作者: LUDE 時(shí)間: 2025-3-24 20:05 作者: 皮薩 時(shí)間: 2025-3-24 23:10 作者: CRANK 時(shí)間: 2025-3-25 05:43 作者: Intact 時(shí)間: 2025-3-25 10:58 作者: 脆弱吧 時(shí)間: 2025-3-25 12:52 作者: 巧思 時(shí)間: 2025-3-25 19:15
Evaluation of?Directive-Based Programming Models for Stencil Computation on Current GPGPU Architecturations of accelerators and SW stack. In particular, to address programmability we do compare the development effort of implementing optimized kernels with all the above mentioned programming models. Finally, we further extend the analysis to cover power consumption aspects, which complements the programming and performance perspectives.作者: 蜈蚣 時(shí)間: 2025-3-25 22:20
0302-9743 P 2024, in Perth, WA, Australia, during September 23–25, 2024...The 14 full papers presented in this book? were carefully reviewed and selected from 16 submissions. They are grouped into the following topics: current and future openMP optimization; targeting more devices; best practices; tools; and 作者: Salivary-Gland 時(shí)間: 2025-3-26 00:59 作者: 對(duì)手 時(shí)間: 2025-3-26 05:07
Multilayer Multipurpose Caches for?OpenMP Target Regions on?FPGAscally combines and inserts them as a multilayer cache to get the best of all worlds. We evaluate on a diverse benchmark and achieve an average speedup of 3.65, outperforming 1-layer caches both in terms of runtime and resilience.作者: 騎師 時(shí)間: 2025-3-26 11:36 作者: cluster 時(shí)間: 2025-3-26 15:34
Gianpaolo Perletti,Vittorio Magrirations of accelerators and SW stack. In particular, to address programmability we do compare the development effort of implementing optimized kernels with all the above mentioned programming models. Finally, we further extend the analysis to cover power consumption aspects, which complements the programming and performance perspectives.作者: CERE 時(shí)間: 2025-3-26 17:05 作者: 痛苦一下 時(shí)間: 2025-3-26 21:42 作者: Cultivate 時(shí)間: 2025-3-27 02:08 作者: 柔聲地說(shuō) 時(shí)間: 2025-3-27 05:26 作者: abreast 時(shí)間: 2025-3-27 13:26
Conference proceedings 2024 Perth, WA, Australia, during September 23–25, 2024...The 14 full papers presented in this book? were carefully reviewed and selected from 16 submissions. They are grouped into the following topics: current and future openMP optimization; targeting more devices; best practices; tools; and simplifying parallelization..作者: 爆米花 時(shí)間: 2025-3-27 14:46 作者: COLON 時(shí)間: 2025-3-27 17:47 作者: 谷類 時(shí)間: 2025-3-28 00:13 作者: Salivary-Gland 時(shí)間: 2025-3-28 05:55 作者: HOWL 時(shí)間: 2025-3-28 09:01
https://doi.org/10.1007/978-3-030-04173-1hich often leads to complex and error-prone code. Alternatively, PGAS model utilizes efficient one-sided communication and more intuitive communication primitives. In this paper, we present a novel approach that integrates PGAS concepts into the OpenMP programming model, leveraging the LLVM compiler作者: MANIA 時(shí)間: 2025-3-28 11:31 作者: 粗野 時(shí)間: 2025-3-28 18:15 作者: overweight 時(shí)間: 2025-3-28 18:57 作者: Coronary 時(shí)間: 2025-3-29 01:13 作者: heartburn 時(shí)間: 2025-3-29 06:07 作者: aspect 時(shí)間: 2025-3-29 07:47 作者: defendant 時(shí)間: 2025-3-29 11:30
Guide to Applying Human Factors Methodste-of-the-art LLMs, including Gemini Pro 1.5, Claude 3, and ChatGPT-4, to generate the initial structure and outline of the book, as well as the initial content for specific chapters. This content included detailed descriptions of individual OpenMP constructs and practical programming examples. The 作者: 協(xié)迫 時(shí)間: 2025-3-29 19:16 作者: 自作多情 時(shí)間: 2025-3-29 21:00 作者: Dignant 時(shí)間: 2025-3-30 00:44 作者: synovial-joint 時(shí)間: 2025-3-30 04:25
Advancing OpenMP for Future Accelerators978-3-031-72567-8Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: ESPY 時(shí)間: 2025-3-30 10:29
Towards Locality-Aware Host-to-Device Offloading in?OpenMPous fields such as climate forecasting, molecular dynamics, and medicine. This has led to a shift from purely CPU-based systems to heterogeneous architectures that include CPUs and accelerators like General Purpose Graphic Processing Units (GPGPUs), enabling faster computations by offloading demandi作者: emulsify 時(shí)間: 2025-3-30 16:13 作者: nonchalance 時(shí)間: 2025-3-30 20:15 作者: Longitude 時(shí)間: 2025-3-30 22:34