ICPP 2023

The International Conference on Parallel Processing (ICPP) is one of the oldest continuously running computer science conferences in parallel computing in the world. It is a premier forum for researchers, scientists, and practitioners in academia, industry, and government to present their latest research findings in all aspects of the field.

Algorithms
Parallel and Distributed Algorithms, Parallel and Distributed Combinatorial & Numerical Methods, Scheduling Algorithms for Parallel and Distributed Applications and Platforms, Algorithmic Innovations for Parallel and Distributed Machine Learning.
Applications
Parallel and Distributed Applications, Scalable Data Analytics & Applied Machine Learning, Computational and Data-driven Science & Engineering (e.g., astrophysics, computational chemistry, bioinformatics, climate science, finance, geology).
Architecture
Micro-Architecture for Parallel Computing, Parallel Computer Architecture and Accelerators Designs, Datacenter/Warehouse Computing Architecture, Machine Learning Architectures, Architectural Support for Networking, New Memory Technologies, Near-Memory Computing, Parallel I/O, Architectures for Edge Computing, Architectural Support for Reliability and Security.
Multidisciplinary
Work where the innovation comes from the combination of more than one discipline and is cross-cutting. Examples include but are not limited to: complex workflows that include elements of data analytics and/or models based on AI/ML in addition to traditional simulations, or work that applies a known algorithm in an innovative way to emerging applications, or proposes a methodology for performance portability and/or productivity across different architectures for a known algorithm.
Performance
Performance Modeling of Parallel or Distributed Computing, Performance Evaluation of Parallel or Distributed Systems; Scalability; Simulation Models; Analytical Models; Measurement-based Evaluation.
Software
Systems Software, Middleware, Runtime Systems, Parallel and Distributed Programming Languages & Models, Programming Systems, Compilers, Libraries, Programming Infrastructures and Tools, Operating and Real-Time Systems.

Conference Venue

Cleone Peterson Eccles Alumni House





Conference Co-Chairs

Dan Reed - University of Utah
Manish Parashar - University of Utah