• This award recognizes and encourages superior research and writing by doctoral candidates on benchmarks, workload characterization, and evaluations of the computer architecture community.

• Online Nomination Form: Sumbmission Site (Deadline: October 15, 2023 End of Day, AoE)

• Award Subcommittee

  

  Prof. Resit Sendag,University of Rhode Island, USA

  

  Dr. Peter Mattson,Google

  

  Dr. Vijay Janapa Reddi,Harvard University

  

  Dr. Wanling Gao, ICT, Chinese Academy of Sciences

• 2022 BenchCouncil Distinguished Doctoral Dissertation Award in Computer Architecture

  

  Dr. Akshitha Sriraman, Carnegie Mellon University

• This award recognizes and encourages superior research and writing by doctoral candidates in the broad field of benchmarks, data, standards, evaluations, and optimizations community.

• Online Nomination Form: Submission Site (Deadline: October 15, 2023 End of Day, AoE)

• Award Committee

  

  Prof. Jack Dongarra,University of Tennessee

  

  Dr. Xiaoyi Lu,The University of California, Merced

  

  Dr. Jeyan Thiyagalingam,STFC-RAL

  

  Dr. Lei Wang,ICT, Chinese Academy of Sciences

  

  Dr. Spyros Blanas,The Ohio State University

• 2021 BenchCouncil Distinguished Doctoral Dissertation Award

  • Dr. Romain Jacob(Award Recipient)

    ETH Zurich

    Title: Leveraging Synchronous Transmissions for the
    Design of Real-time Wireless Cyber-Physical Systems

  

  
  

  • Dr. Pei Guo

    University of Maryland, Baltimore County (UMBC)

    Title: Scalable Multivariate Causality Discovery From
    Large-scale Global Spatiotemporal Climate Data

  

  
  

  • Dr. Kai Shu

    Arizona State University

    Title: Understanding Disinformation:
    Learning with Weak Social Supervision

  

  
  

  • Dr. Belen Bermejo

    University of the Balearic Islands

    Title: Performance And Energy Consumption
    Tradeoff In Server Consolidation

  

The committee welcomes the proposals from the following but not limited to the following communities: architecture, systems, database, high-performance computing, machine learning or AI, scientific computing, medicine or other disciplines.

• Eligibility

  • Only those who were awarded Ph.D. in the past two years are eligible for this award.

  • Only the accepted final version of a nominated Ph.D. dissertation will be considered, and it must have been filed with the writer’s institution during the nomination cycle.

  • The writer or the writer’s Ph.D. advisor can nominate a dissertation, and a dissertation may be nominated only once.

  • The benchmarks, data, or tools that are the essential contributions of the dissertation should be open-sourced.

  • The committee/subcommittee members can not nominate their students.

• Submissions

  • Submission Deadline: October 15, 2023 End of Day, Anywhere on Earth (AoE)

  • Online Nomination Form (Computer Architecture, Other Areas)

    • Name, address, phone number, and email address of the candidate's thesis advisor.

    • Name, address, and email address of the candidate. Affiliation should be the name of the school.

    • Suggested citation. The citation should be a concise statement (maximum of 25 words) describing the critical technical or professional accomplishment for which the candidate merits this award. Note that the final wording for awardees will be at the discretion of the Award Committee.

    • Nomination statement (200-300 words in length) addressing why the candidate should receive this award. This should address the significance of the dissertation, not simply repeat the information in the abstract.

    • A copy of the dissertation. Each submitted dissertation for consideration must include an English abstract of maximally 3000 words.

    • Endorsement letters. At least two supporting letters should be included from experts in the field who can provide additional insights or evidence of the dissertation’s impact. (The nominator/advisor may not write a letter of support.) Each letter should include the name, address, and telephone number of the endorser. The nominator should collect the letters and bundle them for submission. The endorsement letter and supporting letters can be combined in one file in your pdf upload.

• Article Submission Guideline

  • According to the submission guide, we request that you submit an article to the BenchCouncil Transaction on Benchmarks, Standards, and Evaluations (TBench). Considering you may have already published some material in your dissertation, a survey article is also eligible.

  • The detailed submission guidelines are as follows:

    • A submission should use the TBench template, available at https://www.elsevier.com/authors/policies-and-guidelines/latex-instructions.
    • The author list can (a) include your name solely, or (b) list you and your Ph.D. supervisor but with you as the first author. In your submission, you should remove the authors' names, as the follow-up review will be double-blind.

  • The article should include the following contents. (a) The fundamental issue your dissertation tackles. Why is it essential and challenging? (10%). (b) The summary of state-of-the-art and state-of-the-practice (30%). (c) How do you advance state-of-the-art and state-of-the-practice? What are your innovative approaches, systems, tools, and insights? (40%) (d) Open issues and future work (20%).

  • Please directly submit your article to the TBench editorial system. The web link is https://www.editorialmanager.com/tbench/default1.aspx.

• Review Criteria

  • Dissertations will be reviewed for technical depth and significance of the research contribution, the potential impact on theory and practice.

  • In the first round, the four candidates will be singled out. Each one will give a 30-minute presentation in the distinguished Ph. D. dissertation session chaired by the committee.

  • Finally, one candidate will be awarded the BenchCouncil Distinguished Doctoral Dissertation Award carrying a $1,000 honorarium.

  • The award is presented each year at the Awards Banquet during BenchCouncil Bench Conference.

• An Analysis of Long-tailed Network Latency Distribution and Background Traffic on Dragonfly+
  Majid Salimi Beni (University of Salerno), Biagio Cosenza (University of Salerno)

• Comparative Evaluation of Deep Learning Workload for Leadership-class Systems
  Junqi Yin (Oak Ridge National Laboratory), Aristeidis Tsaris (Oak Ridge National Laboratory), Sajal Dash (Oak Ridge National Laboratory), Ross Miller (Oak Ridge National Laboratory), Feiyi Wang (Oak Ridge National Laboratory), Arjun Shankar (Oak Ridge National Laboratory)

• Characterizing the Sharing Behavior of Applications using Software Transactional Memory
  Douglas Pereira Pasqualin (Universidade Federal de Pelotas), Matthias Diener (University of Illinois at Urbana-Champaign), André Rauber Du Bois (Universidade Federal de Pelotas) and Mauricio Lima Pilla (Universidade Federal de Pelotas)
• swRodinia: A Benchmark Suite for Exploiting Architecture Properties of Sunway Processor
  Bangduo Chen (Beihang University), Mingzhen Li (Beihang University), Hailong Yang (Beihang University), Zhongzhi Luan (Beihang University), Lin Gan (Tsinghua University), Guangwen Yang (Tsinghua University) and Depei Qian (Beihang University)

• Performance Analysis of GPU Programming Models using the Roofline Scaling Trajectories
  Khaled Ibrahim, Samuel Williams and Leonid Oliker (Lawrence Berkeley National Laboratory Researchers Won BenchCouncil Bench'19 Best Paper Award)

2019 AI Challenge Award Recipients

• RISC-V Track First Prize: Jiageng Yu, Yuxia Miao, Yang Tai (Institute of Software, Chinese Academy of Sciences)
• RISC-V Track Second Prize: Yangyang Kong (Institute of Information Engineering, Chinese Academy of Sciences)
• Cambricon Track First Prize: Guangli Li, Xueying Wang, Xiu Ma (ICT, CAS)
• Cambricon Track Second Prize: Zihan Jiang, Jiansong Li (ICT, CAS)
• Cambricon Track Second Prize: Yifan Wang, Chen Zeng, Chundian Li (ICT, CAS)
• Cambricon Track Third Prize: Peng He, Ge Chen, Kai Deng ((ICT, CAS))
• X86 Track First Prize: Weixin Deng, Jing Wang, Pengyu Wang (Shanghai Jiao Tong University)
• X86 Track Second Prize: Tianshu Hao (ICT, CAS), Ziping Zheng (Google)
• X86 Track Second Prize: Maosen Chen (360), Qianyun Chen (Georgia Institute of Technology), Tun Chen (ICT, CAS)
• X86 Track Third Prize: Yi Liang, Shaokang Zeng, Yande Liang, Kaizhong Chen (Beijing University of Technology)
• Algorithm Track First Prize: Xingwang Xiong, Xu Wen, Cheng Huang (ICT, CAS)
• Algorithm Track Second Prize: Tongyan Gong (ICT, CAS), Huiqian Niu (JD.com)
• Algorithm Track Second Prize: Heming Sun, Xi Xiong (The Ohio State University)

• MSDBench: Understanding the Performance Impact of Isolation Domains on Microservice-based IoT Deployments
  Sierra Wang (University of California, Santa Barbara), Fatih Bakir (University of California, Santa Barbara), Tyler Ekaireb (University of California, Santa Barbara), Jack Pearson (University of California, Santa Barbara), Chandra Krintz (University of California, Santa Barbara), Rich Wolski(University of California, Santa Barbara)

• Latency-Aware Automatic CNN Channel Pruning with GPU Runtime Analysis
  Jiaqiang Liu (University of Science and Technology of China), Jingwei Sun (University of Science and Technology of China), Zhongtian Xu (University of Science and Technology of China), Guangzhong Sun (University of Science and Technology of China)

• Characterizing the Sharing Behavior of Applications using Software Transactional Memory
  Douglas Pereira Pasqualin (Universidade Federal de Pelotas), Matthias Diener (University of Illinois at Urbana-Champaign), André Rauber Du Bois (Universidade Federal de Pelotas) and Mauricio Lima Pilla (Universidade Federal de Pelotas)
• swRodinia: A Benchmark Suite for Exploiting Architecture Properties of Sunway Processor
  Bangduo Chen (Beihang University), Mingzhen Li (Beihang University), Hailong Yang (Beihang University), Zhongzhi Luan (Beihang University), Lin Gan (Tsinghua University), Guangwen Yang (Tsinghua University) and Depei Qian (Beihang University)
• MAS3K: An Open Dataset for Marine Animal Segmentation
  Lin Li (Ocean University of China), Eric Rigall (Ocean University of China), Junyu Dong (Ocean University of China) and Geng Chen (Inception Institute of Artificial Intelligence, United Arab Emirates)