標題: Titlebook: GPU Solutions to Multi-scale Problems in Science and Engineering; David A. Yuen,Long Wang,Yaolin Shi Book 2013 Springer-Verlag Berlin Heid [打印本頁] 作者: 重婚 時間: 2025-3-21 17:04
書目名稱GPU Solutions to Multi-scale Problems in Science and Engineering影響因子(影響力)
書目名稱GPU Solutions to Multi-scale Problems in Science and Engineering影響因子(影響力)學科排名
書目名稱GPU Solutions to Multi-scale Problems in Science and Engineering網(wǎng)絡公開度
書目名稱GPU Solutions to Multi-scale Problems in Science and Engineering網(wǎng)絡公開度學科排名
書目名稱GPU Solutions to Multi-scale Problems in Science and Engineering被引頻次
書目名稱GPU Solutions to Multi-scale Problems in Science and Engineering被引頻次學科排名
書目名稱GPU Solutions to Multi-scale Problems in Science and Engineering年度引用
書目名稱GPU Solutions to Multi-scale Problems in Science and Engineering年度引用學科排名
書目名稱GPU Solutions to Multi-scale Problems in Science and Engineering讀者反饋
書目名稱GPU Solutions to Multi-scale Problems in Science and Engineering讀者反饋學科排名
作者: cleaver 時間: 2025-3-21 22:11
The Meaning of the Term and its Scopele cost. The tremendous computational power of graphics processors (GPU) provides a great opportunity for those willing to rethink algorithms and rewrite existing simulation codes. In this introduction, we give a brief survey of GPU computing, and its potential capabilities, intended for the general作者: Fraudulent 時間: 2025-3-22 03:46 作者: adumbrate 時間: 2025-3-22 06:35
,‘Algeria’: The Archaeology of Barbary,tor attached to general-purpose PCs or x86-based servers. The processor chip of a GRAPE-DR board have 512 cores operating at the clock frequency of 400?MHz. The peak speed of a processor chip is 410 Gflops (single precision) or 205 Gflops (double precision). A GRAPE-DR board consists of four GRAPE-D作者: PAN 時間: 2025-3-22 11:11
https://doi.org/10.1007/978-981-99-8635-4rallel systems like GPU clusters. The current practice of software development requires combining several low-level libraries like Pthread, OpenMP, CUDA and MPI. Achieving productivity and portability is hard with different numbers and models of GPUs. P. extends mainstream C programming with novel a作者: homeostasis 時間: 2025-3-22 15:21 作者: homeostasis 時間: 2025-3-22 18:38 作者: novelty 時間: 2025-3-23 01:14 作者: Cryptic 時間: 2025-3-23 03:56 作者: linear 時間: 2025-3-23 09:00 作者: 抵押貸款 時間: 2025-3-23 12:31 作者: 向下五度才偏 時間: 2025-3-23 15:25
https://doi.org/10.1007/978-1-349-24974-9 option price. Although existing methods running on CPU clusters have improved the efficiency significantly, there is still a great gap between the real performance and the desired. In this paper, we parallelize this model on CUDA to further improve the efficiency. We optimize our method according t作者: 似少年 時間: 2025-3-23 21:57 作者: isotope 時間: 2025-3-23 23:19
The Aftermath of the First Standard,rces of high performance computing. In this paper we investigate the possibility to accelerate the planewave pseudopotential code PEtot on CUDA architecture. In particular, we execute two most time consuming steps, i.e., the nonlocal projections and FFT transformations on GPU with careful implementa作者: 排名真古怪 時間: 2025-3-24 04:30
https://doi.org/10.1007/978-3-642-16405-7GPU; computational fluid dynamics; interactive visualization; large-scale numerical simulations; massive作者: 漂亮才會豪華 時間: 2025-3-24 07:51
David A. Yuen,Long Wang,Yaolin ShiShows how GPU are used in many diverse problems in science and engineering gives examples of codes.Written in CUDA for diverse problems.Shows how algorithms can be implemented on GPU.Includes suppleme作者: 沉默 時間: 2025-3-24 12:49
https://doi.org/10.1007/978-1-137-58120-4The pages given in this chapter should convey the lively convivial atmosphere at the GPU conference in nice surroundings of Harbin in China’s Dongbei region.作者: 明智的人 時間: 2025-3-24 16:29
Happenings at the GPU ConferenceThe pages given in this chapter should convey the lively convivial atmosphere at the GPU conference in nice surroundings of Harbin in China’s Dongbei region.作者: 多產(chǎn)魚 時間: 2025-3-24 19:06
978-3-662-50691-2Springer-Verlag Berlin Heidelberg 2013作者: 大都市 時間: 2025-3-24 23:18
GPU Solutions to Multi-scale Problems in Science and Engineering978-3-642-16405-7Series ISSN 2193-8571 Series E-ISSN 2193-858X 作者: Biomarker 時間: 2025-3-25 04:34
Why Do Scientists and Engineers Need GPU’s Today?le cost. The tremendous computational power of graphics processors (GPU) provides a great opportunity for those willing to rethink algorithms and rewrite existing simulation codes. In this introduction, we give a brief survey of GPU computing, and its potential capabilities, intended for the general作者: 發(fā)微光 時間: 2025-3-25 09:52
Efficiency, Energy Efficiency and Programming of Accelerated HPC Servers: Highlights of PRACE Studiey a divergence. The divergence is driven by the quest for performance, cost-performance and in the last few years also energy consumption that during the life-time of a system have come to exceed the HPC system cost in many cases. Mass market, specialized processors, such as the Cell Broadband Engin作者: nerve-sparing 時間: 2025-3-25 14:04
GRAPE and GRAPE-DRtor attached to general-purpose PCs or x86-based servers. The processor chip of a GRAPE-DR board have 512 cores operating at the clock frequency of 400?MHz. The peak speed of a processor chip is 410 Gflops (single precision) or 205 Gflops (double precision). A GRAPE-DR board consists of four GRAPE-D作者: Sarcoma 時間: 2025-3-25 18:49
P,: A Unifying Array Representation for Heterogeneous Parallelismrallel systems like GPU clusters. The current practice of software development requires combining several low-level libraries like Pthread, OpenMP, CUDA and MPI. Achieving productivity and portability is hard with different numbers and models of GPUs. P. extends mainstream C programming with novel a作者: 使?jié)M足 時間: 2025-3-25 20:27 作者: 沙漠 時間: 2025-3-26 01:05 作者: dowagers-hump 時間: 2025-3-26 05:57 作者: 兵團 時間: 2025-3-26 09:45
GPU Best Practices for HPC Applications at Industry Scale order to achieve speed-up through exploiting the potential of fine-grain parallelism in applications. The trend is led by graphics processing units (GPUs) which have recently been developed exclusively for computational tasks as massively-parallel co-processors to conventional x86 CPUs. Since the i作者: innate 時間: 2025-3-26 14:15
Simulation of 1D Condensing Flows with CESE Method on GPU Clusterth shock tube. In the present work, the CESE Method has been implemented on a graphics card 9800GT successfully with the overlapping scheme. Then the condensation problem in 1D infinite shock tube was investigated using the scheme. The speedup of the condensation problem with the overlapping schemes作者: FIN 時間: 2025-3-26 19:47
Two-Way Coupled Sprays and Liquid Surface: A GPU-Based Multi-Scale Fluid Animation Methods and rich visual details, it is necessary to explore the intrinsic multi-scale property in fluid animation. In this paper, we present a multi-scale fluid animation method on GPU. Our method is designed to animate fluid details of grid and sub-grid scale with high efficiency. In our method, the moti作者: liposuction 時間: 2025-3-26 23:18 作者: Encapsulate 時間: 2025-3-27 03:07 作者: CON 時間: 2025-3-27 07:54
GPU Tuning for First-Principle Electronic Structure Simulationsrces of high performance computing. In this paper we investigate the possibility to accelerate the planewave pseudopotential code PEtot on CUDA architecture. In particular, we execute two most time consuming steps, i.e., the nonlocal projections and FFT transformations on GPU with careful implementa作者: 芳香一點 時間: 2025-3-27 11:34 作者: ANTH 時間: 2025-3-27 17:11
,Age of Reform and Empire, 1815–1914, results of the experiments, we can reach the conclusion that the proposed GPU based acceleration method can improve the processing speed of the multi-scale fluid animation significantly while getting interesting details.作者: Individual 時間: 2025-3-27 21:32
Multi-scale Continuum-Particle Simulation on CPU–GPU Hybrid Supercomputerf CPU-GPU hybrid supercomputers. This strategy is demonstrated to be effective and critical for achieving good scalability and efficiency in such simulations. The software and hardware systems thus designed have found wide applications in process engineering.作者: 獸群 時間: 2025-3-28 01:54 作者: Lice692 時間: 2025-3-28 03:02 作者: 擦掉 時間: 2025-3-28 07:09
The Meaning of the Term and its Scope scientific and engineering audience. We will also review some challenges facing the users in adapting the large toolbox of scientific computing to these changes in computer architecture, and what the community can expect in the near future.作者: 螢火蟲 時間: 2025-3-28 12:58 作者: GLIB 時間: 2025-3-28 14:48
2193-8571 show the public why GPU computing is important and easy to use. It will offer a reason why GPU computing is useful and how to implement codes in an everyday situation.978-3-662-50691-2978-3-642-16405-7Series ISSN 2193-8571 Series E-ISSN 2193-858X 作者: 賄賂 時間: 2025-3-28 19:42 作者: entice 時間: 2025-3-29 00:25
The Aftermath of the First Standard,ecture. In particular, we execute two most time consuming steps, i.e., the nonlocal projections and FFT transformations on GPU with careful implementations to reduce the data exchanges between the CPU and the GPU. Our experience for the molecule with as many as 512 atoms is also shown.作者: arthroplasty 時間: 2025-3-29 06:23 作者: Presbycusis 時間: 2025-3-29 10:28
https://doi.org/10.1007/978-3-319-50600-5 the single GPU and GPU cluster. It is found that the asymptotic solution is trustable and is mesh-insensitive when the grid size is fine enough to resolve the condensation process. It is worth to mention that the peak value of computing reaches 0.88 TFLOPS when the GPU cluster with 8 GPUs is employed.作者: olfction 時間: 2025-3-29 12:52 作者: 是貪求 時間: 2025-3-29 18:31
Preliminary Implementation of PETSc Using GPUsn PETSc run unchanged in parallel using these new subclasses. These can be used transparently from existing PETSc application codes in C, C++, Fortran, or Python. The implementation is done with the Thrust and Cusp C++ packages from NVIDIA.作者: 別名 時間: 2025-3-29 20:39
Simulation of 1D Condensing Flows with CESE Method on GPU Cluster the single GPU and GPU cluster. It is found that the asymptotic solution is trustable and is mesh-insensitive when the grid size is fine enough to resolve the condensation process. It is worth to mention that the peak value of computing reaches 0.88 TFLOPS when the GPU cluster with 8 GPUs is employed.作者: FLAIL 時間: 2025-3-30 03:45 作者: 滑動 時間: 2025-3-30 08:05
GPU Tuning for First-Principle Electronic Structure Simulationsecture. In particular, we execute two most time consuming steps, i.e., the nonlocal projections and FFT transformations on GPU with careful implementations to reduce the data exchanges between the CPU and the GPU. Our experience for the molecule with as many as 512 atoms is also shown.
