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 any and all application domains. Here is a list of examples:

cyber-physical domain, IoT, industrial internet
communication networks, wireless and mobile
peer-to-peer environments, ad-hoc networks
SOA, microservices, web-based environments
big data systems, stream and graph processing
data-intensive systems, data analytics and data science
machine learning and artificial intelligence
HPC systems, cloud, edge, grid and fog
multimedia systems and applications
autonomous, resilient, adaptive and agentic systems and applications

Types of Submissions

ICPE caters to a wide range of submission types with eight 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

Topics of interest

Topics of interest include, but are not limited to:

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