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: Euro-Par 2019: Parallel Processing; 25th International C Ramin Yahyapour Conference proceedings 2019 Springer Nature Switzerland AG 2019 ar

[復(fù)制鏈接]
樓主: Concave
21#
發(fā)表于 2025-3-25 04:25:02 | 只看該作者
22#
發(fā)表于 2025-3-25 08:39:51 | 只看該作者
https://doi.org/10.1007/978-3-322-86645-5o successfully reduce the number of hardware counters needed to characterize a parallel region, and that this set of counters can be measured at run time with high accuracy and low overhead using counter multiplexing.
23#
發(fā)表于 2025-3-25 15:24:22 | 只看該作者
Werner R. Müller,Thomas M. Schwarbschedule on one cluster and then distributing it onto the other clusters might come in handy in practical approaches. We demonstrate this by presenting a practical algorithm with running time ., without hidden constants, that is an approximation algorithm with ratio 9/4 if the number . of clusters is dividable by 3 and bounded by . otherwise.
24#
發(fā)表于 2025-3-25 19:02:34 | 只看該作者
25#
發(fā)表于 2025-3-25 23:32:37 | 只看該作者
Aufzüge mit stetig umlaufendem Zugmitteles, we are able to exclude obviously dominated solutions from the design space before scheduling and synthesis. Compared to a standard, multi-criteria optimisation method, we show the benefits of our approach regarding runtime at the design level.
26#
發(fā)表于 2025-3-26 04:01:30 | 只看該作者
Einleitung und Abgrenzung des Themasances. We evaluated the algorithm using data clustering, matrix multiplication, and bioinformatics applications and compared with existing load-balancing algorithms. PLB-HAC obtained the highest performance gains with more heterogeneous clusters and larger problems sizes, where a more refined load-distribution is required.
27#
發(fā)表于 2025-3-26 05:02:35 | 只看該作者
Accelerating Data-Dependence Profiling with Static Hintsffected source-code locations from instrumentation, allowing the profiler to skip them at runtime and avoiding the associated overhead. At the end, we merge static and dynamic dependences. We evaluated our approach with 38 benchmarks from two benchmark suites and obtained a median reduction of the profiling time by 62% across all the benchmarks.
28#
發(fā)表于 2025-3-26 08:37:35 | 只看該作者
29#
發(fā)表于 2025-3-26 16:24:52 | 只看該作者
Hardware Counters’ Space Reduction for Code Region Characterizationo successfully reduce the number of hardware counters needed to characterize a parallel region, and that this set of counters can be measured at run time with high accuracy and low overhead using counter multiplexing.
30#
發(fā)表于 2025-3-26 20:41:18 | 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, 2025-10-23 10:21
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
克什克腾旗| 磐石市| 开化县| 麻城市| 贵港市| 宝应县| 太仓市| 科尔| 普宁市| 洪雅县| 乌什县| 靖江市| 普兰店市| 伊春市| 大余县| 漳平市| 东阿县| 扶沟县| 清流县| 天水市| 汤阴县| 安康市| 咸丰县| 余庆县| 抚宁县| 阿克苏市| 云林县| 吉隆县| 临武县| 旌德县| 峨山| 宜君县| 上思县| 长宁区| 麻栗坡县| 阳西县| 壶关县| 綦江县| 仙游县| 年辖:市辖区| 庄河市|