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CGO 2020 : Symposium on Code Generation and Optimization


Conference Series : Symposium on Code Generation and Optimization
When Feb 22, 2020 - Feb 26, 2020
Where San Diego
Abstract Registration Due Aug 30, 2019
Submission Deadline Sep 6, 2019
Notification Due Oct 22, 2019

Call For Papers

Call for Papers - International Symposium on Code Generation and Optimization (CGO) 2020

Including New Call for Tool and Practical Experience Papers

Co-located with PPoPP and HPCA

Feb 22nd to 26th, 2020, San Diego, USA

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 (AOE) ============
August 30, 2019: Abstract Submission
Sept 6, 2019: Paper Submission
Oct 9th-10th, 2019: Author Rebuttal Period
Oct 22nd, 2019: Paper Notification

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.

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 repository 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.

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.

============= Organization Committee ==================

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
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

============= 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

Related Resources

CGO 2021   International Symposium on Code Generation and Optimization (CGO) 2021
CGO 2022   IEEE/ACM International Symposium on Code Generation and Optimization
ICML 2022   39th International Conference on Machine Learning
SDM 2022   SIAM International Conference on Data Mining
Learning & Optimization 2022   ASCE-EMI Minisymposium: Probabilistic Learning, Stochastic Optimization, and Digital Twins
ICCQ 2022   2nd International Conference on Code Quality
CSMO 2022   2022 6th International Conference on Simulation, Modeling and Optimization (CSMO 2022)
COLA Journal (Elsevier) 2021   CFP: Special issue on “Methods, Tools and Languages for Model-driven Engineering and Low-code Development”
OLA 2022   International Conference on Optimization and Learning
OPT 2021   NeurIPS Workshop on Optimization for Machine Learning (OPT21)