找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: GPU Solutions to Multi-scale Problems in Science and Engineering; David A. Yuen,Long Wang,Yaolin Shi Book 2013 Springer-Verlag Berlin Heid

[復(fù)制鏈接]
樓主: 重婚
41#
發(fā)表于 2025-3-28 14:48:30 | 只看該作者
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
42#
發(fā)表于 2025-3-28 19:42:01 | 只看該作者
43#
發(fā)表于 2025-3-29 00:25:43 | 只看該作者
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.
44#
發(fā)表于 2025-3-29 06:23:32 | 只看該作者
45#
發(fā)表于 2025-3-29 10:28:04 | 只看該作者
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.
46#
發(fā)表于 2025-3-29 12:52:56 | 只看該作者
47#
發(fā)表于 2025-3-29 18:31:38 | 只看該作者
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.
48#
發(fā)表于 2025-3-29 20:39:52 | 只看該作者
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.
49#
發(fā)表于 2025-3-30 03:45:18 | 只看該作者
50#
發(fā)表于 2025-3-30 08:05:52 | 只看該作者
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.
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-7 19:17
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
齐齐哈尔市| 临朐县| 微博| 汤阴县| 朝阳区| 文水县| 三门峡市| 虞城县| 永胜县| 武宣县| 玛沁县| 汉中市| 天津市| 平南县| 湘潭市| 汝南县| 句容市| 哈尔滨市| 永州市| 永靖县| 福贡县| 得荣县| 长泰县| 高雄县| 隆林| 宣恩县| 闵行区| 新丰县| 彭山县| 涟水县| 长宁县| 广安市| 营山县| 高邑县| 舞阳县| 海晏县| 长白| 突泉县| 都昌县| 台江县| 库车县|