Bench 2023

CALL FOR PAPERS
The 15th BenchCouncil International Symposium on Benchmarking, Measuring and Optimizing (Bench 2023)
In conjunction with Federated Intelligent Computing and Chip Conference (FICC 2023)
https://www.benchcouncil.org/bench2023/index.html

Paper Submission Due (full and short papers): Aug 21, 2023, 11:59 PM AoE
Notification: September 30, 2023, 11:59 PM AoE
Final Papers Due: October 31, 2023, 11:59 PM AoE
Conference Date: December 3-5, 2023
Venue: Sanya, China.

Please note that citizens from up to 59 nations can visit Sanya without a Visa from the Chinese Government. Sanya is a beautiful seaside city, well known as Hawaii in China.

Submission website: https://bench2023.hotcrp.com/

Organization

General Co-Chairs
* Rakesh Agrawal, Data Insights Laboratories, San Jose, CA, USA
* Aoying Zhou, East China Normal University

Program Co-Chairs
* Weining Qian, East China Normal University
* Sascha Hunold, TU Wien, Austria

Program Vice-Chairs
* Biwei Xie, Institute of Computing Technology, CAS
* Kai Shu, Illinois Institute of Technology

Web Chair
* Jiahui Dai, BenchCouncil

Publicity Chairs
* Weicong Chen, University of California, Merced
* Dipti Shankar, SAP Labs, Munich

Technical Program Committee
* Ahmad Ghazal, PingCAP
* Bartlomiej Przybylski, Adam Mickiewicz University, Poznań
* Ben Blamey, Uppsala University
* Benson Muite, University of Tartu
* Bin Ren, College of William & Mary
* Bo Wu, Colorado School of Mines
* Chen Zheng, Institute of Software, Chinese Academy of Sciences
* Cheol-Ho Hong, Chung-Ang University
* Chunjie Luo, Institute of Computing Technology, Chinese Academy of Sciences
* David Boehme, Lawrence Livermore National Laboratory
* Florina Ciorba, University of Basel
* Francieli Boito, University of Bordeaux
* Guangli Li, Institute of Computing Technology, Chinese Academy of Sciences
* Gwangsun Kim, POSTECH
* Joseph Schuchart, University of Tennessee, Knoxville
* K. Selçuk Candan, Arizona State University
* Khaled Ibrahim, Lawrence Berkeley National Laboratory
* Lucas Mello Schnorr, UFRGS
* Mario Marino, Leeds Beckett University
* Miaoqing Huan, University of Arkansas
* Murali Emani, Argonne National Laboratory
* Philippe Swartvagher, TU Wien
* Piotr Luszczek, University of Tennessee, Knoxville
* Ryan Grant, Sandia National Laboratories
* Salman Zubair Toor, Uppsala University
* Shu Yin, ShanghaiTech University
* Sophie Cerf, INRIA
* Steven Farrell, Lawrence Berkeley National Laboratory
* Todor Ivanov, Lead Consult
* Woongki Baek, UNIST
* Xiaoyi Lu, University of California, Merced
* Zhen Jia, Amazon
* Zhihui Du, New Jersey Institute of Technology

Award Committees

2023 BenchCouncil Achievement Award Committee
* D. K. Panda, The Ohio State University
* Lizy Kurian John, the University of Texas at Austin
* Geoffrey Fox, Indiana University
* Jianfeng Zhan, University of Chinese Academy of Sciences
* Tony Hey, Rutherford Appleton Laboratory STFC
* David J. Lilja, University of Minnesota, Minneapolis
* Jack J. Dongarra, University of Tennessee
* John L. Henning, Oracle

2023 BenchCouncil Rising Star Award Committees
* D. K. Panda, The Ohio State University
* Lizy Kurian John, the University of Texas at Austin
* Geoffrey Fox, Indiana University
* Jianfeng Zhan, University of Chinese Academy of Sciences
* Torsten Hoefler, ETH Zürich
* Vijay Janapa Reddi, Harvard University
* Peter Mattson, Google, USA
* Douwe Kiela, Stanford University

BenchCouncil Distinguished Doctoral Dissertation Award Committee in Other Areas
* Jack J. Dongarra, University of Tennessee
* Xiaoyi Lu, The University of California, Merced
* Jeyan Thiyagalingam, STFC-RAL
* Lei Wang, ICT, Chinese Academy of Sciences
* Spyros Blanas, The Ohio State University

BenchCouncil Distinguished Doctoral Dissertation Award Committee in Computer Architecture
* Resit Sendag, University of Rhode Island, USA
* Peter Mattson, Google
* Vijay Janapa Reddi, Harvard University
* Wanling Gao, Chinese Academy of Sciences

Bench Steering Committee
* Jack J. Dongarra, University of Tennessee
* Geoffrey Fox, Indiana University
* D. K. Panda, The Ohio State University
* Felix Wolf, TU Darmstadt
* Xiaoyi Lu, University of California, Merced
* Resit Sendag, University of Rhode Island, USA
* Wanling Gao, ICT, Chinese Academy of Sciences & UCAS
* Jianfeng Zhan, BenchCouncil

Topics

The Bench conference encompasses a wide range of topics in benchmarks, datasets, metrics, indexes, measurement, evaluation, optimization, supporting methods and tools, and other best practices in computer science, medicine, finance, education, management, etc. Bench’s multidisciplinary and interdisciplinary emphasis provides an ideal environment for developers and researchers from different areas and communities to discuss practical and theoretical work. The topics of interest include, but are not limited to the following:

Benchmark science and engineering across multi-disciplines:
* The formulation of problems or challenges in emerging and future computing
* The benchmarks, datasets, and indexes in multidisciplinary applications,
e.g., medical, finance, education, management, psychology, etc.
* Benchmark-based quantitative approaches to tackle multidisciplinary and
interdisciplinary challenges, industry best practices

Benchmark and standard specifications, implementations, and validations
* Big Data, Artificial Intelligence (AI), High-Performance Computing (HPC)
* Machine learning, Big scientific data, Datacenter, Cloud, Warehouse-scale computing
* Mobile robotics, Edge and fog computing, Internet of Things (IoT), Blockchain
* Data management and storage, Financial, Education, Medical or other application domains

Datasets
* Detailed descriptions of research or industry datasets,
including the methods used to collect the data and technical analyses
supporting the quality of the measurements
* Analyses or meta-analyses of existing data and original articles on systems,
technologies, and techniques that advance data sharing and reuse
to support reproducible research
* Evaluating the rigor and quality of the experiments used to generate
the data and the completeness of the data description
* Tools that can generate large-scale data while preserving their
original characteristics

Workload characterization, quantitative measurement, design, and evaluation studies
* Computer and communication networks, protocols and algorithms
* Wireless, mobile, ad-hoc and sensor networks, IoT applications
* Computer architectures, hardware accelerators, multi-core processors, memory systems
and storage networks
* HPC systems; Operating systems, file systems and databases; Virtualization, data centers,
distributed and cloud computing, fog and edge computing
* Mobile and personal computing systems, energy-efficient computing systems; real-time and
fault-tolerant systems, security and privacy of computing and networked systems,
software systems and services, and enterprise applications, social networks,
multimedia systems, web services, cyber-physical systems, including the smart grid

Methodologies, metrics, abstractions, algorithms, and tools
* Analytical modeling techniques and model validation
* Workload characterization and benchmarking
* Performance, scalability, power and reliability analysis
* Sustainability analysis and power management
* System measurement, performance monitoring and forecasting
* Anomaly detection, problem diagnosis and troubleshooting
* Capacity planning, resource allocation, run-time management and scheduling
* Experimental design, statistical analysis, and simulation

Measurement and evaluation
* Measurement standards, evaluation methodologies and metrics,
testbed methodologies and systems
* Instrumentation, sampling, tracing and profiling of large-scale,
real-world applications and systems;
* Measurement-based modeling (e.g., workloads, scaling behavior, assessment of
performance bottlenecks)
* Methods and tools to monitor and visualize measurement and evaluation data
* Systems and algorithms that build on measurement-based findings
* Advances in data collection, analysis and storage
(e.g., anonymization, querying, sharing)
* Reappraisal of previous empirical measurements and measurement-based conclusions
* Descriptions of challenges and future directions that the measurement and
evaluation community should pursue

Paper Submission

Papers must be submitted in PDF. For a full paper, the page limit is 15 pages in the LNCS format, not including references. For a short paper, the page limit is 8 pages in the LNCS format, not including references. The review process follows a strict double-blind policy per the established Bench conference norms. The submissions will be judged based on the merit of the ideas rather than the length. After the conference, the proceedings will be published by Springer LNCS (Indexed by EI). Please note that the LNCS format is the final one for publishing.

At least one author must pre-register for the symposium, and at least one author must attend the symposium to present the paper. Papers for which no author is pre-registered will be removed from the proceedings.

Formatting Instructions

Please make sure your submission satisfies ALL of the following requirements: All authors and affiliation information must be anonymized. The paper must be submitted in printable PDF format (LNCS format). Please number the pages of your submission. The submission must be formatted for black-and-white printers. Please make sure your figures are readable when printed in black and white. The submission must describe novel, unpublished work that is not currently under review of any other conference venue or journal.

Submission site: https://bench2023.hotcrp.com/
LNCS latex template: https://www.benchcouncil.org/file/llncs2e.zip

Awards

BenchCouncil Achievement Award ($3,000)
– This award recognizes a senior member who has made long-term contributions to benchmarking, measuring, and optimizing. The winner is eligible for the status of a BenchCouncil Fellow.

BenchCouncil Rising Star Award ($1,000)
– This award recognizes a junior member who demonstrates outstanding potential for research and practice in benchmarking, measuring, and optimizing.

BenchCouncil Best Paper Award ($1,000)
– This award recognizes a paper presented at the Bench conferences, which demonstrates potential impact on research and practice in benchmarking, measuring, and optimizing.

BenchCouncil Distinguished Doctoral Dissertation Award ($2000)
– This award recognizes and encourages superior research and writing by doctoral candidates in the broad field of benchmarks, data, standards, evaluations, and optimizations community. This year, the award includes two tracks, including the BenchCouncil Distinguished Doctoral Dissertation Award in Computer Architecture ($1000) and BenchCouncil Distinguished Doctoral Dissertation Award in other areas ($1000).