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                IEEE/ACM International Symposium on Code Generation and Optimization (CGO)
<br>co-located with PPoPP and HPCA
<br>San Diego, CA, USA
<br>February 22 - 26, 2020
<br>http://cgo.org/
<br>
<br>The International Symposium on Code Generation and Optimization (CGO) provides
<br>a premier venue to bring together researchers and practitioners working at the
<br>interface of hardware and software on a wide range of optimization and code
<br>generation techniques and related issues. The conference spans the spectrum
<br>from purely static to fully dynamic approaches, and from pure software-based
<br>methods to specific architectural features and support for code generation and
<br>optimization.
<br>
<br>IMPORTANT DATES
<br>Abstract Submission: August 30, 2019
<br>Paper Submission: September 6, 2019
<br>Author Rebuttal Period: October 9 - 10, 2018
<br>Paper Notification: October 22, 2019
<br>
<br>Original contributions are solicited on, but not limited to, the following
<br>topics:
<br>– Code Generation, Translation, Transformation, and Optimization for
<br>performance, energy, virtualization, portability, security, or reliability
<br>concerns, and architectural support
<br>– Efficient execution of dynamically typed and higher-level languages
<br>Optimization and code generation for emerging programming models, platforms,
<br>domain-specific languages Dynamic/static, profile-guided, feedback-directed,
<br>and machine learning based optimization
<br>– Static, Dynamic, and Hybrid Analysis for performance, energy, memory
<br>locality, throughput or latency, security, reliability, or functional
<br>debugging
<br>– Program characterization methods
<br>– Efficient profiling and instrumentation techniques; architectural support
<br>– Novel and efficient tools
<br>– Compiler design, practice and experience
<br>– Compiler abstraction and intermediate representations
<br>– Vertical integration of language features, representations, optimizations,
<br>and runtime support for parallelism
<br>– Solutions that involve cross-layer (HW/OS/VM/SW) design and integration
<br>– Deployed dynamic/static compiler and runtime systems for general purpose,
<br>embedded system and Cloud/HPC platforms
<br>– Parallelism, heterogeneity, and reconfigurable architectures
<br>– Optimizations for heterogeneous or specialized targets, GPUs, SoCs, CGRA
<br>– Compiler support for vectorization, thread extraction, task scheduling,
<br>speculation, transaction, memory management, data distribution and
<br>synchronization
<br>
<br>The Artifact Evaluation process is run by a separate committee whose task is
<br>to assess how the artifacts support the work described in the papers. Authors
<br>of accepted papers have the option of submitting their artifacts for
<br>evaluation within two weeks of paper acceptance. To ease the organization of
<br>the AE committee, we kindly ask authors to indicate at the time they submit
<br>the paper, whether they are interested in submitting an artifact. Papers that
<br>go through the Artifact Evaluation process successfully will receive a seal of
<br>approval printed on the papers themselves. Additional information is available
<br>on the CGO AE web page. Authors of accepted papers are encouraged, but not
<br>required, to make these materials publicly available upon publication of the
<br>proceedings, by including them as “source materials” in the ACM Digital
<br>Library.
<br>
<br>-----
<br>
<br>This year, CGO has a special category of papers called “tools and practical
<br>experience”. Such a paper is subject to the same page length guidelines,
<br>except that it must give a clear account of its functionality and a summary
<br>about the practice experience with realistic case studies, and describe all
<br>the supporting artifacts available. The selection criteria are:
<br>
<br>– Originality: Papers should present CGO-related technologies applied to
<br>real-world problems with scope or characteristics that set them apart from
<br>previous solutions.
<br>– Usability: The presented Tools or compilers should have broad usage or
<br>applicability. They are expected to assist in CGO-related research, or could
<br>be extended to investigate or demonstrate new technologies. If significant
<br>components are not yet implemented, the paper will not be considered.
<br>– Documentation: The tool or compiler should be presented on a web-site
<br>giving documentation and further information about the tool.
<br>– Benchmark Repository: A suite of benchmarks for testing should be
<br>provided.
<br>– Availability: Preferences will be given to tools or compilers that are
<br>freely available (at either the source or binary level). Exceptions may be
<br>made for industry and commercial tools that cannot be made publicly available
<br>for business reasons.
<br>– Foundations: Papers should incorporate the principles underpinning Code
<br>Generation and Optimization (CGO). However, a thorough discussion of
<br>theoretical foundations is not required; a summary of such should suffice.
<br>
<br>-----
<br>
<br>Authors should carefully consider the difference in focus with the co-located
<br>conferences when deciding where to submit a paper. CGO will make the
<br>proceedings freely available via the ACM DL platform during the period from
<br>two weeks before to two weeks after the conference. This option will
<br>facilitate easy access to the proceedings by conference attendees, and it will
<br>also enable the community at large to experience the excitement of learning
<br>about the latest developments being presented in the period surrounding the
<br>event itself.
<br>
<br>
<br>ORGANIZERS
<br>General Chairs
<br>Jason Mars, University of Michigan
<br>Lingjia Tang, University of Michigan
<br>
<br>Program Chairs
<br>Jingling Xue, UNSW Sydney
<br>Peng Wu, Futurewei Technologies
<br>
<br>Workshop and Tutorials Chairs
<br>Johann Hauswald, Clinc
<br>Yunqi Zhang, Clinc
<br>
<br>Artifact Evaluation Chairs
<br>Bastian Hagedorn, University of Münster
<br>Michael Laurenzano, University of Michigan/Clinc
<br>Michel Steuwer, University of Glasgow
<br>
<br>Student Research Competition Chair
<br>Changhee Jung, Purdue University
<br>
<br>Student Travel Grants Chair
<br>Animesh Jain, Amazon
<br>
<br>Treasurer/Finance Chair
<br>Christophe Dubach, University of Edinburgh
<br>
<br>Publicity Chair
<br>Fabian Gruber, Inria
<br>
<br>Registration Chair
<br>Dongyoon Lee, Virgina Tech
<br>
<br>Web Chair
<br>Dongjie He, UNSW Sydney
<br>
<br>Steering Committee
<br>Aaron Smith, Microsoft Research
<br>Carol Eidt, Microsoft
<br>Fabrice Rastello, Inria
<br>Jack W. Davidson, University of Virginia
<br>Jason Mars, University of Michigan
<br>Teresa Johnson, Google
<br>
<br>Program Committee
<br>Aaron Smith, Microsoft/Edinburgh University
<br>Andrew Adams, Facebook
<br>Antonia Zhai, University of Minnesota
<br>Ben Hardekopf, UCSB
<br>Björn Franke, University of Edinburgh
<br>Bruce R. Childers, University of Pittsburgh
<br>Changhee Jung, Purdue University
<br>Christophe Dubach, University of Edinburgh
<br>Damian Dechev, University of Central Florida
<br>Derek Bruening, Google
<br>Erik Altman, IBM
<br>Fabrice Rastello, Inria
<br>Fredrik Kjolstad, MIT
<br>Gennady Pekhimenko, University of Toronto
<br>Guilherme Ottoni, Facebook
<br>Guoyang Chen, Alibaba Group US Inc
<br>Huimin Cui, Chinese Academy of Sciences
<br>Jaejin Lee, Seoul National University
<br>J Nelson Amaral, University of Alberta
<br>Lisa Wu, UC Berkeley
<br>Louis-Noël Pouchet, Colorado State University
<br>Mahmut T. Kandemir, Pennsylvania State University
<br>Maria Garzaran, Intel/UIUC
<br>Michel Steuwer, University of Glasgow
<br>Pen-Chung Yew, University of Minnesota
<br>Raj Barik, Uber
<br>Rajiv Gupta, UC Riverside
<br>Sanjay Rajopadhye, Colorado State University
<br>Simone Campanoni, Northwestern University
<br>Snehasish Kumar, Google
<br>Sreepathi Pai, University of Rochester
<br>Svilen Kanev, Google
<br>Teresa Johnson, Google
<br>Timothy M. Jones, University of Cambridge
<br>Tobias Grosser, ETH Zurich
<br>Vijay Janapa Reddi, Harvard University
<br>Walter Binder, University of Lugano
<br>Xipeng Shen, North Carolina State University
<br>Xu Liu, College of William and Mary
<br>Zheng Wang, Lancaster University
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