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
鲁甸县| 永兴县| 宁明县| 浑源县| 青田县| 黄山市| 招远市| 积石山| 丰台区| 三原县| 宁德市| 保山市| 抚顺县| 武乡县| 莱州市| 彭阳县| 南京市| 尉氏县| 喀什市| 涞水县| 兴仁县| 盐山县| 浙江省| 凤庆县| 神木县| 克什克腾旗| 清河县| 和顺县| 驻马店市| 贵德县| 准格尔旗| 松江区| 宜昌市| 颍上县| 会昌县| 台州市| 东明县| 玉林市| 贺州市| 大方县| 儋州市|