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CGO 2015 : International Symposium on Code Generation and Optimization


Conference Series : Symposium on Code Generation and Optimization
When Feb 7, 2015 - Feb 11, 2015
Where San Francisco Bay Area
Abstract Registration Due Aug 29, 2014
Submission Deadline Sep 5, 2014
Notification Due Nov 3, 2014
Categories    CGO   2015   compilers

Call For Papers

2015 IEEE/ACM International Symposium on Code Generation and Optimization
February 2015 - San Francisco Bay Area

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, including techniques ranging from pure software-based methods to architectural features and support.

Original contributions are solicited on, but not limited to, the following topics:

Code Generation and Optimization
- Efficient execution of dynamically typed and higher-level languages
- Optimization and code generation for emerging programming models, platforms
- Optimizations for energy efficiency
- Profile-guided, feedback-directed, and machine learning based optimization
- Compiler abstractions and intermediate representations

Static and Dynamic Analysis
- Profiling and instrumentation for power, memory, throughput or latency
- Efficient profiling and instrumentation techniques
- Program characterization methods
- Profile-guided optimization
- Novel and efficient tools for power, performance analysis, debugging and testing

Optimization for Parallelism
- Runtime systems for parallelism & heterogeneity
- Optimizations for heterogeneous or specialized parallel targets, e.g. GPUs
- Compiler-driven data distribution and synchronization
- Thread extraction

OS, Architecture and Runtime Support
- Architectural support for improved profiling, optimization and code generation
- Integrated system design (HW/OS/VM/SW)
- Memory management and garbage collection

Security and Reliability
- Code analysis and transformations to address security or reliability concerns

Practical Experience
- Deployed dynamic and static compiler and runtime systems for general purpose, embedded system and Cloud/HPC platforms

Applications of above in emerging technology areas, such as
- Web programming environments, application runtimes, optimizations
- SOCs, heterogeneous platforms hardware/software co-design, analysis and optimization

CGO 2015 is co-located with HPCA 2015 and PPoPP 2015 this year. Authors should carefully consider the difference in focus of the conferences when deciding where to submit a paper.

CGO will make the proceedings freely available via the ACM DL platform for up to two weeks before and two weeks after the event. 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.

Important Dates
Abstract Submission: August 29, 2014
Paper Submission: September 5, 2014
Author Response Period: October 21-23, 2014
Notification to Authors: November 3, 2014

General Chairs
Kunle Olukotun, Stanford University
Aaron Smith, Microsoft Research

Program Chairs
Robert Hundt, Google
Jason Mars, University of Michigan

Program Committee
Saman Amarsinghe, MIT
Derek Bruening, Google
Simone Campanoni, Harvard
Mike Carbin, MIT
John Cavazos, U. of Delaware
Albert Cohen, Inria
Jack Davidson, UVA
Gregory Diamos, NVidia
Christophe Dubach, University of Edinburgh
Evelyn Duesterwald, IBM
Xiaobing Feng, ICT Chinese Academy
Mike Ferdman, Stony Brook University
Ravi Iyer, Intel
Alexandra Jimborean, Uppsala University
Naveen Kumar, Google
Calvin Lin, UT Austin
Scott Mahlke, Michigan
Kathryn S McKinley, Microsoft
Abdullah Muzahid, UT San Antonio
Chris J Newburn, Intel
Michael O’Boyle, Edinburgh
David Padua, UIUC
Depei Qian, Xiían Jiaotong University
Lawrence Rauchwerger, Texas A&M University
Fabrice Rastello, Inria
Vijay Janapa Reddi, The University of Texas at Austin
Behnam Robatmili, Qualcomm Research
Norm Rubin, NVidia
Jennifer Sartor, Ghent
Xipeng Shen, William and Mary
Lingjia Tang, Michigan
Mike Taylor, UCSD
Mohit Tiwari, UT Austin
James M. Tuck, NCSU
Cheng Wang, Intel Labs
Chenggang Wu, Chinese Academy of Sciences
Jingyue Wu, Google
Eddy Zhang, Rutgers
Ben Zorn, Microsoft Research

Workshop and Tutorials Chair
Christophe Dubach, University of Edinburgh

Finance Chair
Vijay Janapa Reddi, The University of Texas at Austin

Local Chairs
Jose Renau, University of California, Santa Cruz
Behnam Robatmili, Qualcomm Research

Publications Chair
Fabrice Rastello, Inria

Students Chairs
Ronald Mak, San Jose State University
Jennifer Sartor, Ghent University

Sponsors Chair
Ben Zorn, Microsoft Research

Registration Chair
Lingjia Tang, University of Michigan

Submission Chairs
Michael Laurenzano, University of Michigan
Yunqi Zhang, University of Michigan

Web Chair
Mehrzad Samadi, University of Michigan

Steering Committee
Kim Hazelwood, Google
Robert Hundt, Google
Scott Mahlke, University of Michigan
Kathryn S McKinley, Microsoft
Kunle Olukotun, Stanford University
Vijay Janapa Reddi, The University of Texas at Austin
Olivier Temam, Inria (Chair)

Related Resources

CGO 2018   2018 IEEE/ACM International Symposium on Code Generation and Optimization
CGO 2017   International Symposium on Code Generation and Optimization
OpenSuCo @ ISC HPC 2017   2017 International Workshop on Open Source Supercomputing
ICMT 2017   10th International Conference on Model Transformation
GPCE 2017   16th International Conference on Generative Programming: Concepts & Experiences
AMMCS - SMCGPL 2017   Symbolic Methods in Code Generation and Programming Languages
SCAM 2017   International Working Conference on Source Code Analysis and Manipulation
IJNGN 2017   International Journal of Next-Generation Networks
BOOM 2017   2nd IJCAI International Workshop on Biomedical infOrmatics with Optimization and Machine learning (BOOM)