Conference Information
CGO 2022: International Symposium on Code Generation and Optimization
https://conf.researchr.org/home/cgo-2022
Submission Date:
2021-08-27
Notification Date:
2021-11-05
Conference Date:
2022-02-12
Location:
Online
Years:
20
CCF: b   CORE: a   QUALIS: a2   Viewed: 19072   Tracked: 53   Attend: 3

Call For Papers
The International Symposium on Code Generation and Optimization (CGO) is 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
Last updated by Dou Sun in 2021-06-19
Acceptance Ratio
YearSubmittedAcceptedAccepted(%)
2009702637.1%
2008662131.8%
2007842732.1%
2006802936.3%
2005752634.7%
2004792531.6%
2003822935.4%
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Engineering Optimization1.809Taylor & Francis0305-215X
New Generation Computing0.795Springer0288-3635
cSIAM Journal on Discrete Mathematics0.755SIAM0895-4801
Information and Organization2.269Elsevier1471-7727
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aInformation and Computation0.872Elsevier0890-5401
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