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CGO 2021 : International Symposium on Code Generation and Optimization (CGO) 2021

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Conference Series : Symposium on Code Generation and Optimization
 
Link: http://cgo.org/
 
When Feb 27, 2021 - Mar 3, 2021
Where Virtual Conference
Abstract Registration Due Aug 25, 2020
Submission Deadline Sep 1, 2020
Notification Due Nov 5, 2020
Final Version Due Jan 5, 2021
Categories    computer science
 

Call For Papers

IEEE/ACM International Symposium on Code Generation and Optimization (CGO)
co-located with PPoPP, CC, and HPCA
February 27 - March 3, 2021, Virtual Conference
http://cgo.org/

UPDATES

With the continued impact of the COVID-19, the joint steering committee of CGO/PPoPP/HPCA/CC has decided to make the conference a virtual event this year. The next conference will be held in Seoul again in 2022. The details on the virtual conference format will be announced later.

CALL FOR PAPERS

The International Symposium on Code Generation and Optimization (CGO) is a premier venue to bring together researchers and practitioners working at the interface of hardware and software on a wide range of optimization and code generation techniques and related issues. The conference spans the spectrum from purely static to fully dynamic approaches, and from pure software-based methods to specific architectural features and support for code generation and optimization.

IMPORTANT DATES
Abstract Submission: August 25, 2020
Paper Submission: September 1, 2020
Author Rebuttal Period: October 11 - 17, 2020
Paper Notification: November 5, 2020

Original contributions are solicited on, but not limited to, the following topics:

- Code Generation, Translation, Transformation, and Optimization for performance, energy, virtualization, portability, security, or reliability concerns, and architectural support
- Efficient execution of dynamically typed and higher-level languages
- Optimization and code generation for emerging programming models, platforms, domain-specific languages
- Dynamic/static, profile-guided, feedback-directed, and machine learning based optimization
- Static, Dynamic, and Hybrid Analysis for performance, energy, memory locality, throughput or latency, security, reliability, or functional debugging
- Program characterization methods
- Efficient profiling and instrumentation techniques; architectural support
- Novel and efficient tools
- Compiler design, practice and experience
- Compiler abstraction and intermediate representations
- Vertical integration of language features, representations, optimizations, and runtime support for parallelism
- Solutions that involve cross-layer (HW/OS/VM/SW) design and integration
- Deployed dynamic/static compiler and runtime systems for general purpose, embedded system and Cloud/HPC platforms
- Parallelism, heterogeneity, and reconfigurable architectures
- Optimizations for heterogeneous or specialized targets, GPUs, SoCs, CGRA
- Compiler support for vectorization, thread extraction, task scheduling, speculation, transaction, memory management, data distribution and synchronization

ARTIFACT EVALUATION

The Artifact Evaluation process is run by a separate committee whose task is to assess how the artifacts support the work described in the papers. This process contributes to improve reproducibility in research that should be a great concern to all of us. There is also some evidence that papers with a supporting artifact receive higher citations than papers without (Artifact Evaluation: Is It a Real Incentive? by B. Childers and P. Chrysanthis).

Authors of accepted papers at CGO have the option of submitting their artifacts for evaluation within two weeks of paper acceptance. To ease the organization of the AE committee, we kindly ask authors to indicate at the time they submit the paper, whether they are interested in submitting an artifact. Papers that go through the Artifact Evaluation process successfully will receive a seal of approval printed on the papers themselves. Additional information is available on the CGO AE web page. Authors of accepted papers are encouraged, but not required, to make these materials publicly available upon publication of the proceedings, by including them as “source materials” in the ACM Digital Library.

CALL FOR TOOLS AND PRACTICAL EXPERIENCE PAPERS

Last year CGO had a special category of papers called “Tools and Practical Experience,” which was very successful. CGO this year will have the same category of papers. Such a paper is subject to the same page length guidelines, except that it must give a clear account of its functionality and a summary about the practice experience with realistic case studies, and describe all the supporting artifacts available.

For papers submitted in this category that present a tool it is mandatory to submit an artifact to the Artifact Evaluation process and to be successfully evaluated. These papers will initially be conditionally accepted based on the condition that an artifact is submitted to the Artifact Evaluation process and that this artifact is successfully evaluated. Authors are not required to make their tool publicly available, but we do require that an artifact is submitted and successfully evaluated.

Papers submitted in this category presenting practical experience are encouraged but not required to submit an artifact to the Artifact Evaluation process.

The selection criteria for papers in this category are:

- Originality: Papers should present CGO-related technologies applied to real-world problems with scope or characteristics that set them apart from previous solutions.
- Usability: The presented Tools or compilers should have broad usage or applicability. They are expected to assist in CGO-related research, or could be extended to investigate or demonstrate new technologies. If significant components are not yet implemented, the paper will not be considered.
- Documentation: The tool or compiler should be presented on a web-site giving documentation and further information about the tool.
- Benchmark Repository: A suite of benchmarks for testing should be provided.
- Availability: Preferences will be given to tools or compilers that are freely available (at either the source or binary level). Exceptions may be made for industry and commercial tools that cannot be made publicly available for business reasons.
- Foundations: Papers should incorporate the principles underpinning Code Generation and Optimization (CGO). However, a thorough discussion of theoretical foundations is not required; a summary of such should suffice.
- Artifact Evaluation: The submitted artifact must be functional and supports the claims made in the paper. Submission of an artifact is mandatory for papers presenting a tool.

Authors should carefully consider the difference in focus with the co-located conferences when deciding where to submit a paper. CGO will make the proceedings freely available via the ACM DL platform during the period from two weeks before to two weeks after the conference. This option will facilitate easy access to the proceedings by conference attendees, and it will also enable the community at large to experience the excitement of learning about the latest developments being presented in the period surrounding the event itself.

ORGANIZERS

General Chair
Jae W. Lee, Seoul National University

Program Chairs
Mary Lou Soffa, University of Virginia
Ayal Zaks, Intel

Treasurer & Finance Chairs
Yongjun Park, Hanyang University
Mehrzad Samadi, NVIDIA

Local/Global Arrangement Chairs
Hanjun Kim, Yonsei University
Nick Johnson, D. E. Shaw Research

Workshop & Tutorial Chair
Taewook Oh, Facebook

Artifact Evaluation Chairs
Michel Steuwer, University of Glasgow
Jubi Taneja, University of Utah

Student Research Competition Chair
Hyojin Sung, POSTECH

Publicity Chair
Dongyoon Lee, Stony Brook University

Registration Chair
Bernd Burgstaller, Yonsei University

Proceedings Chair
Jeehoon Kang, KAIST

Web Chair
Tae Jun Ham, Seoul National University

Social Media Chair
Shivam Bharuka, Facebook

Steering Committee
Jack Davidson, University of Virginia
Carol Eidt, Microsoft
Teresa Johnson, Google
Fabrice Rastello, Inria
Vijay Janapa Reddi, Harvard University
Aaron Smith, Microsoft / University of Edinburgh
Jingling Xue, UNSW Sydney

Program Committee
Bradford Campbell, University of Virginia
Sudipta Chattopadhyay, Singapore University of Technology and Design
Bruce Childers, University of Pittsburgh
Bernhard Egger, Seoul National University
Maria Jesus Garzaran, University of Illinois at Urbana-Champaign
Rajiv Gupta, UC Riverside
Mary Hall, University of Utah
Robert Hundt, Google
Mahmut Taylan Kandemir, Pennsylvania State University
Hanjun Kim, Yonsei University
Masanari Kondo, Kyoto Institute of Technology
Michael Kruse, Argonne National Laboratory
Hugh Leather, University of Edinburgh
Dongyoon Lee, Stony Brook University
Jenq-Kuen Lee, National Tsing Hua University
Wei-Fen Lin, Skymizer
Scott Mahlke, University of Michigan
Michael O'Boyle, University of Edinburgh
EunJung (EJ) Park, Los Alamos National Laboratory
Yongjun Park, Hanyang University
Fernando Magno Quintão Pereira, UFMG
Jacques Pienaar, Google
Probir Roy, University of Michigan at Dearborn
Subhajit Roy, IIT Kanpur
Hiroshi Sasaki, Tokyo Institute of Technology
Xipeng Shen, North Carolina State University
Uma Srinivasan, Twitter
Zehra Sura, IBM Research
Wei Wang, University of Texas at San Antonio
Weng-Fai Wong, National University of Singapore
Jingling Xue, UNSW Sydney
Zheng Zhang, Rutgers University

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