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CGO 2021 : International Symposium on Code Generation and Optimization (CGO) 2021Conference Series : Symposium on Code Generation and Optimization | |||||||||||||||||
Link: http://cgo.org/ | |||||||||||||||||
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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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