Conference Information
ICPE 2024: International Conference on Performance Engineering
https://icpe2024.spec.org/Submission Date: |
2023-10-27 |
Notification Date: |
2023-12-29 |
Conference Date: |
2024-05-07 |
Location: |
London, UK |
Years: |
15 |
Viewed: 19922 Tracked: 7 Attend: 3
Call For Papers
Scope and Topics The ACM/SPEC International Conference on Performance Engineering (ICPE) is the leading international forum for presenting and discussing novel ideas, innovations, trends, and experiences in the field of performance engineering. Performance, energy efficiency, and reliability are becoming central to the acceptance and sustainability of modern computing systems. Digitalization brings computing technology closer to people and manages most aspects of their life. In turn, human interaction increasingly shapes the behavior of computing systems. As a result, our systems become more complex and, therefore, more difficult to engineer and understand. We need to be able to manage this complexity so that our systems remain reliable, trustable, and performant. ICPE brings together researchers and practitioners to report on open problems, state-of-the-art solutions, and in-progress research in performance engineering of software and systems - targeting performance and associated quality attributes such as efficiency and reliability in all phases of the computing system lifecycle, from specification and development to run time and maintenance. ICPE deals with performance and associated quality attributes across all application domains. We encourage contributions that help extend the state-of-the-art in particular, but not exclusively, in the following areas: Measurement and Empirical Evaluation Modeling Design and Development Processes Performance Testing Managing Systems at Runtime Platform-Related Optimizations Benchmarking ICPE caters to a wide range of submission types with eight distinct submission tracks: Research track for regular research papers on the conference topics Industry track for contributions connecting to the industry Journal-first track for contributions from recent journal publications (new) Artifact track for sharing software and data artifacts Emerging research track for discussing preliminary or vision contributions Poster and demo track for short interactive contributions Tutorials track for presentations by leading scientists and practitioners Workshops track for specific aspects of performance engineering Data challenge track for addressing the challenges presented by a performance dataset In particular: Measurement and Empirical Evaluation data collection techniques, simulation, measurement, instrumentation, profiling controlled experiment design, data driven experiments, diagnostics data management and interchange, tool interoperability statistical analysis, exploration, visualization, visual data mining measuring and evaluating performance and related attributes such as energy efficiency, stability or resource usage dependability and related attributes such as security, resiliency or confidentiality algorithmic attributes such as learning efficiency or solution quality Modeling approaches and metrics for describing performance and related quality attributes modeling languages and formalisms, modeling methods and tools explanatory and predictive models, online models model learning and extraction techniques model validation and calibration workload characterization Design and Development Processes requirements engineering, agile and experiment driven techniques, devops performance-oriented design, software architectures, performance patterns and antipatterns performance testing, root cause and bottleneck identification humans in the loop, ethical concerns Managing Systems at Runtime adaptive systems, monitoring, autotuning, elasticity and autoscaling, power management virtualization and consolidation, resource scheduling, capacity management anomaly detection, service level (definition and monitoring) Platform-Related Optimizations parallel programming, multi-core and many-core systems compiler optimizations, managed languages and runtime optimization performance and efficiency of hardware accelerators and novel memory systems Benchmarking design and standardization process benchmark suites, investigative benchmarks benchmark synthesis, benchmark workload generation benchmarking energy efficiency, resilience, stability, security and related quality metrics
Last updated by Dou Sun in 2023-10-03
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Journal of Information Science and Engineering | 0.414 | Institute of Information Science | 0000-0000 | |
IEEE Robotics and Automation Letters | IEEE | 2377-3766 | ||
International Journal of Modern Physics C | World Scientific | 0129-1831 | ||
Journal of Cryptographic Engineering | Springer | 2190-8508 | ||
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Cogent Engineering | Cogent OA | 2331-1916 | ||
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Full Name | Impact Factor | Publisher |
---|---|---|
Journal of Information Science and Engineering | 0.414 | Institute of Information Science |
IEEE Robotics and Automation Letters | IEEE | |
International Journal of Modern Physics C | World Scientific | |
Journal of Cryptographic Engineering | Springer | |
Development Engineering | Elsevier | |
Fuzzy Information and Engineering | Taylor & Francis | |
Theory and Practice of Logic Programming | Cambridge University Press | |
Cogent Engineering | Cogent OA | |
CCF Transactions on High Performance Computing | Springer | |
Requirements Engineering | 2.273 | Springer |
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