| |||||||||||||||
ICPP 2024 : International Conference on Parallel ProcessingConference Series : International Conference on Parallel Processing | |||||||||||||||
Link: https://icpp2024.org/index.php?option=com_content&view=featured&Itemid=101 | |||||||||||||||
| |||||||||||||||
Call For Papers | |||||||||||||||
ICPP '24
Gotland, Sweden - August 12-15, 2024 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. Important Dates Workshop proposal submissions: Jan. 19th, 2024 Workshop proposal notifications: Jan. 29th, 2024 Abstract Submission: Apr. 8th, 2024 Apr. 22nd, 2024 Paper Submission: Apr. 15th, 2024 Apr. 29th, 2024 Author Notification: June 10th, 2024 Conference: August 12th - August 15th, 2024 Main Tracks 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 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. Multidisciplinary 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 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. |
|