CGO 2021 : International Symposium on Code Generation and Optimization

in Conferences   Posted on June 1, 2020 

Conference Information

Submission Deadline Tuesday 25 Aug 2020 Proceedings indexed by :
Conference Dates Feb 27, 2021 - Feb 27, 2021
Conference Address Seoul, South Korea
Conference & Submission Link https://cgo-conference.github.io/cgo2021/
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Ranking & Metrics (This is a TOP Conference)

Impact Score 3.3
#Contributing Top Scientists 22
#Papers published by Top Scientists 20
Google Scholar H5-index 26
Number of Editions: 19 (Since 2003)
Guide2Research Overall Ranking: 204
Category Rankings
Computational Theory and Mathematics 19
Software Engineering & Programming 46
Proceedings https://ieeexplore.ieee.org/xpl/conhome/1000096/all-proceedings
DBLP Page https://dblp.uni-trier.de/db/conf/cgo

Conference Call for Papers

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.

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.

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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