52nd International Conference on Parallel Processing

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.

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).

Micro-Architecture for Parallel Computing, Parallel Computer Architecture and Accelerator Designs, LArge-Scale System Architectures, 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.

Innovation combining multiple disciplines, Cross-Cutting Research (e.g., Complex Workflows Combining Data Analytics and/or AI/ML with Traditional Simulations), Use of Known Algorithms in Novel/Emerging Applications, Methodologies for Performance Portability and/or Productivity across Architectures.

Performance Modeling of Parallel or Distributed Computing, Performance Evaluation of Parallel or Distributed Systems; Scalability, Simulation Models, Analytical Models, Measurement-Based Evaluation.

Systems Software, Middleware, Runtime Systems, Parallel and Distributed Programming Languages & Models, Programming Systems, Compilers, Libraries, Programming Infrastructures and Tools, Operating and Real-Time Systems.