找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: OpenMP: Memory, Devices, and Tasks; 12th International W Naoya Maruyama,Bronis R. de Supinski,Mohamed Wahib Conference proceedings 2016 Spr

[復(fù)制鏈接]
41#
發(fā)表于 2025-3-28 15:51:15 | 只看該作者
Scaling FMM with Data-Driven OpenMP Tasks on Multicore Architecturesy a methodology to spawn work units characterized by a high data locality potential. Work units operate on tiled computational patterns and serve as building blocks in an OpenMP task-based data-driven execution. In particular, by the adjusting work unit granularity, idle times and runtime overheads
42#
發(fā)表于 2025-3-28 21:34:33 | 只看該作者
A Proposal to OpenMP for Addressing the CPU Oversubscription ChallengeOMP). The evaluation results demonstrate the effectiveness of the proposed approach to address the CPU oversubscription challenge and detailed analysis provide heuristics for selecting an optimal wait policy according to the oversubscription ratios.
43#
發(fā)表于 2025-3-29 01:09:23 | 只看該作者
44#
發(fā)表于 2025-3-29 04:15:01 | 只看該作者
45#
發(fā)表于 2025-3-29 11:08:23 | 只看該作者
Approaches for Task Affinity in OpenMPures. We assess design issues for task affinity and explore several approaches to enable it. We evaluate these proposals with implementations in the Nanos++ and LLVM OpenMP runtimes that improve performance up?to 40?% and significantly reduce execution time variation.
46#
發(fā)表于 2025-3-29 12:41:46 | 只看該作者
0302-9743 in topical sections named: applications, locality, task parallelism, extensions, tools, accelerator programming, and performance evaluations and optimization.978-3-319-45549-5978-3-319-45550-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
47#
發(fā)表于 2025-3-29 18:51:00 | 只看該作者
48#
發(fā)表于 2025-3-29 23:02:52 | 只看該作者
49#
發(fā)表于 2025-3-30 03:13:37 | 只看該作者
OpenMP Extension for Explicit Task Allocation on NUMA Architecturener. The prototype compiler is implemented based on GCC. The performance evaluation using the KASTORS benchmark shows that our approach can reduce remote page access. The Jacobi kernel using our approach shows 3.6 times better performance than GCC when using 36 threads on a 36-core, 4-NUMA node machine.
50#
發(fā)表于 2025-3-30 04:56:55 | 只看該作者
 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(ài)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(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-7 07:22
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
师宗县| 盘锦市| 新丰县| 龙游县| 怀安县| 上蔡县| 大渡口区| 鲁甸县| 哈巴河县| 若尔盖县| 红河县| 枞阳县| 石柱| 荆门市| 吉林省| 盱眙县| 临清市| 贵定县| 特克斯县| 买车| 大余县| 中西区| 丹江口市| 苏尼特右旗| 恩平市| 精河县| 婺源县| 红原县| 买车| 鄂尔多斯市| 故城县| 永春县| 乌拉特前旗| 安龙县| 宜良县| 乃东县| 墨玉县| 江华| 囊谦县| 额济纳旗| 开化县|