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Message posted on 26/08/2019

CGO 2020 - Call for Papers

IEEE/ACM International Symposium on Code Generation and Optimization (CGO)
co-located with PPoPP, CC and HPCA.
San Diego, CA, USA
February 22 - 26, 2020

The International Symposium on Code Generation and Optimization (CGO)
provides 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.

Abstract Submission: August 30, 2019
Paper Submission: September 6, 2019
Author Rebuttal Period: October 9 - 10, 2019
Paper Notification: October 22, 2019

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
- 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

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. Authors of accepted papers 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


This year, CGO has a special category of papers called “tools and
practical experience”. 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.

The selection criteria 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
- 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
- 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


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.

General Chairs
  Jason Mars, University of Michigan
  Lingjia Tang, University of Michigan

Program Chairs
  Jingling Xue, UNSW Sydney
  Peng Wu, Futurewei Technologies

Program Committee
  Aaron Smith, Microsoft/University of Edinburgh
  Andrew Adams, Facebook
  Antonia Zhai, University of Minnesota
  Ben Hardekopf, UCSB
  Björn Franke, University of Edinburgh
  Bruce R. Childers, University of Pittsburgh
  Changhee Jung, Purdue University
  Christophe Dubach, University of Edinburgh
  Damian Dechev, University of Central Florida
  Derek Bruening, Google
  Erik Altman, IBM
  Fabrice Rastello, Inria
  Fredrik Kjolstad, MIT
  Gennady Pekhimenko, University of Toronto
  Guilherme Ottoni, Facebook
  Guoyang Chen, Alibaba Group US Inc
  Huimin Cui, Chinese Academy of Sciences
  Jaejin Lee, Seoul National University
  J Nelson Amaral, University of Alberta
  Lisa Wu, UC Berkeley
  Louis-Noël Pouchet, Colorado State University
  Mahmut T. Kandemir, Pennsylvania State University
  Maria Garzaran, Intel/UIUC
  Michel Steuwer, University of Glasgow
  Pen-Chung Yew, University of Minnesota
  Raj Barik, Uber
  Rajiv Gupta, UC Riverside
  Sanjay Rajopadhye, Colorado State University
  Simone Campanoni, Northwestern University
  Snehasish Kumar, Google
  Sreepathi Pai, University of Rochester
  Svilen Kanev, Google
  Teresa Johnson, Google
  Timothy M. Jones, University of Cambridge
  Tobias Grosser, ETH Zurich
  Vijay Janapa Reddi, Harvard University
  Walter Binder, University of Lugano
  Xipeng Shen, North Carolina State University
  Xu Liu, College of William and Mary
  Zheng Wang, Lancaster University

Paper Submission URL:

For detailed submission requirements, please see the CGO’20 website.

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