Abstract cost models for distributed data-intensive computations-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Abstract cost models for distributed data-intensive computations

Published:2018-08-24 Issue:3 Volume:37 Page:411-439
ISSN:0926-8782
Container-title:Distributed and Parallel Databases
language:en
Short-container-title:Distrib Parallel Databases

Author:

Li Rundong,Mi Ningfang,Riedewald Mirek,Sun Yizhou,Yao Yi

Funder

National Institutes of Health

Air Force Office of Scientific Research

National Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

Information Systems and Management,Hardware and Architecture,Information Systems,Software

Link

http://link.springer.com/content/pdf/10.1007/s10619-018-7244-2.pdf

Reference34 articles.

1. Agarwal, R.C., Balle, S.M., Gustavson, F.G., Joshi, M., Palkar, P.: A three-dimensional approach to parallel matrix multiplication. IBM J. Res. Dev. 39(5), 575–582 (1995)

2. Akdere, M., Cetintemel, U., Riondato, M., Upfal, E., Zdonik, S.: Learning-based query performance modeling and prediction. In: ICDE, pp. 390–401 (2012)

3. Asanovic, K., Bodik, R., Demmel, J., Keaveny, T., Keutzer, K., Kubiatowicz, J., Morgan, N., Patterson, D., Sen, K., Wawrzynek, J., Wessel, D., Yelick, K.: A view of the parallel computing landscape. Commun. ACM 52(10), 56–67 (2009)

4. Ballard, G., Buluc, A., Demmel, J., Grigori, L., Lipshitz, B., Schwartz, O., Toledo, S.: Communication optimal parallel multiplication of sparse random matrices. In: SPAA, pp. 222–231 (2013)

5. Duggan, J., Cetintemel, U., Papaemmanouil, O., Upfal, E.: Performance prediction for concurrent database workloads. In: SIGMOD, pp. 337–348 (2011)

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Spark Optimizer for Adaptive, Fine-Grained Parameter Tuning;Proceedings of the VLDB Endowment;2024-07

2. Saving Money for Analytical Workloads in the Cloud;Proceedings of the VLDB Endowment;2024-07

3. Near-Optimal Distributed Band-Joins through Recursive Partitioning;Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data;2020-06-11

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3