[ecoop-info] CGO 2020 - Call for Papers

[Fabian Gruber]

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

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.

IMPORTANT DATES
Abstract Submission: August 30, 2019
Paper Submission: September 6, 2019
Author Rebuttal Period: October 9 - 10, 2018
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 
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

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 
Library.

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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 
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.

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

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

Workshop and Tutorials Chairs
   Johann Hauswald, Clinc
   Yunqi Zhang, Clinc

Artifact Evaluation Chairs
   Bastian Hagedorn, University of Münster
   Michael Laurenzano, University of Michigan/Clinc
   Michel Steuwer, University of Glasgow

Student Research Competition Chair
   Changhee Jung, Purdue University

Student Travel Grants Chair
   Animesh Jain, Amazon

Treasurer/Finance Chair
   Christophe Dubach, University of Edinburgh

Publicity Chair
   Fabian Gruber, Inria

Registration Chair
   Dongyoon Lee, Virgina Tech

Web Chair
   Dongjie He, UNSW Sydney

Steering Committee
   Aaron Smith, Microsoft Research
   Carol Eidt, Microsoft
   Fabrice Rastello, Inria
   Jack W. Davidson, University of Virginia
   Jason Mars, University of Michigan
   Teresa Johnson, Google

Program Committee
   Aaron Smith, Microsoft/Edinburgh University
   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