Benchmarking in the Data Center
Workshop Scope and Topics
While traditional cloud and high performance computing workloads are quite different, many of the components used in high performance computers are also used in traditional data centers. Furthermore, big data and high performance computing are converging, both in terms of hardware and software used. It is therefore helpful to have a common subset of performance metrics that are useful in assessing data center efficiency. Of particular interest, is that more than half of the computers on the Top500 list are in Asia.
SurveyPlease fill in the survey here Randomly selected participants will receive:
- An amazon.cn voucher worth 400¥ (CNY) or equivalent
- An international assortment of sweet delicacies (workshop attendees only)
The survey winner was Xiaohu Guo. Congratulations!
Date and Location
Wednesday 16 January
Vanburgh Hotel, Guangzhou, China
|13:00-13:30||Guo Liang||Open Data Center Committee & China Academy of Information and Communications Technology||An overview of data centers in China|
|13:30-14:00||Robert Henschel||Indiana University & SPEC||Using the SPEC HPG Benchmarks for Better Analysis and Evaluation of Current and Future HPC Systems||slides|
|14:00-14:10||Vikcy Xie||Open Data Center Committee & China Academy of Information and Communications Technology||Liquid cooling technology and performance efficiency in data center|
|14:10-14:30||Yao Xiao||Shenzhen University||The Role of Privacy in Benchmarking Geo-Distributed Data Centers|
|14:30-15:00||Wu-chun Feng||Virginia Tech||The Green500: Metrics, Methodologies, and Workloads|
|15:30-16:00||Piotr Bala||University of Warsaw||Benchmarking Java as a possibility to merge HPC and Big Data processing||slides|
|16:00-16:30||Xiaoyi Lu||Ohio State University||Benchmarking and Accelerating Big Data and Deep Learning Systems on Modern HPC Architecture||slides|
|16:30-17:00||Zhuowei Si||Intel||Intel MPI benchmarks||slides|
|17:00-17:25||Juan Chen||National University of Defense Technology||Moderated Discussion|
SubmissionsThe workshop solicits:
- Short papers of upto 6 pages in ACM sigconf format.
- Abstracts based on available work related to benchmarks that would be suitable and useful for workshop discussion.
The first portion of the workshop will then be devoted to the selected position papers, introduction of key points from abstracts submitted for discussion and a brief survey overview. There will then be breakout discussions, followed by a wrap-up discussion. A post workshop edited collection of papers on sustainable and effective benchmarking of converged high performance and big data computing infrastructures is also planned. This will be comprised of extended workshop papers, invited papers and summary papers with new viewpoints resulting from the workshop.
Both the conference proceedings and the post workshop volume will have open access options. For information about ACM open access options, please see here.
ACM templates can be found here
Please make submissions here.
15 20 November, 5 December 20181 January 2019: Online survey opens
- 30 November 2018: Papers due
- 7 December 2018: Notification of acceptance/rejection of papers
- 15 December 2018: Camera ready papers due
712 January 2018: Online survey closes
- 13:00-17:30, 16 January 2019: Workshop
Please register at the main conference website, here.
Samar Aseeri (King Abdullah University of Science and Technology)
Juan Chen (National University of Defense Technology)
Guo Liang (Open Data Center Committee & China Academy of Information and Communications Technology)
Benson Muite (University of Tartu)
Daisuke Takahashi (University of Tsukuba)
Jidong Zhai (Tsinghua University)
Irina Bocharova (ITMO & University of Tartu)
Rodrigo N. Calheiros (Western Sydney University)
Yifeng Chen (Peking University)
Wu-chun Feng (Virginia Tech)
Boris Kudryashov (ITMO & University of Tartu)
Yan Liu (University of Illinois at Urbana Champaign)
Piotr Luszczek (University of Tennessee, Knoxville)
Dmitry Nikitenko (Lomonosov Moscow State University)
Maciej L. Olchowik (KAUST Supercomputing Laboratory)
Sherif Sakr (University of Tartu)
Ashwin Siddarth (University of Texas at Arlington)
Rekha Singahl (Tata Consultancy Services)
Paolo Trunfio (University of Calabria)
Andrew C. Winfer (KAUST Supercomputing Laboratory)