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                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

_______________________________________________

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