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ICPE 2026 : International Conference on Performance Engineering

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Link: https://icpe2026.spec.org/
 
When May 4, 2026 - May 8, 2026
Where Florence, Italy
Abstract Registration Due Nov 3, 2025
Submission Deadline Nov 10, 2025
Notification Due Jan 19, 2026
Final Version Due Mar 5, 2026
Categories    performance engineering   measurement and empirical eval   performance testing   platform-related optimizations
 

Call For Papers

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Call for Contributions
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ICPE 2026
17th ACM/SPEC International Conference on Performance Engineering
Sponsored by ACM SIGMETRICS, SIGSOFT, and SPEC RG
May 4 - 8, 2026
Florence, Italy
Web: https://icpe2026.spec.org/
LinkedIn: https://www.linkedin.com/groups/15362050/
HotCRP: https://icpe2026.hotcrp.com/

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IMPORTANT DATES
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Research track abstracts: Nov 3, 2025 (AoE)
Research track papers: Nov 10, 2025 (AoE)
Research track notification: Jan 19, 2026 (AoE)

Industry track papers: Nov 3, 2025 (AoE)
Industry track notification: Dec 29, 2025 (AoE)

Workshop proposals submission: Nov 4, 2025 (AoE)
Workshop proposals notification: Nov 18, 2025 (AoE)

Emerging research track submission: Jan 23, 2026 (AoE)
Artifact track submission: Jan 29, 2026 (AoE)
Journal first track submission: Jan 26, 2026 (AoE)
Poster and demo track submission: Jan 26, 2026 (AoE)
Tutorial proposals submission: Jan 26, 2026 (AoE)
Data challenge track submission: Jan 28, 2026 (AoE)

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SCOPE AND TOPICS
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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.

Today's systems are complex, rely increasingly on dynamic distributed architectures, and raise continuously important challenges related to end-to-end performance management. This applies equally to emerging domains, such as AI systems, systems of systems, interconnected and embedded systems, distributed data and intelligence, machine learning environments, human-centered computing, non-von Neumann architectures, cloud/edge/fog infrastructures, data streaming, and social networks, and also to traditional domains, such as web-based, data centers, mobile and wireless systems, and real-time systems. As a result, our systems have become more complex and, therefore, more difficult to engineer and understand. We need to manage this complexity so that our systems remain reliable, trustworthy, and performant.

ICPE brings together researchers and practitioners to report state-of-the-art and in-progress research on performance engineering of software, networks, and systems, including but not limited to performance modeling, analysis, measurement, benchmark design, and run-time performance management. The focus is both on classical metrics such as response time, throughput, resource utilization, and (energy) efficiency and on the relationship of such metrics to other system properties, including but not limited to scalability, elasticity, availability, reliability, cost, sustainability, security, and privacy.

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:

- Performance Measurement and Empirical Evaluation
- Performance Modeling of Software and Systems
- Design and Development Processes
- Runtime performance management and adaptation
- Platform-Related Optimizations
- Performance Benchmarking

ICPE caters to a wide range of submission types with nine distinct submission tracks:

- Research track for novel research on the conference topics
- Industry track for research involving industry
- Journal-first track for contributions from recent journal publications
- 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

The conference proceedings are published in ACM Digital Library.
For more information, including the submission guidelines, visit https://icpe2026.spec.org/call-for-contributions/

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