The IEEE International Parallel & Distributed Processing Symposium (IPDPS 2025) is dedicated to all aspects of parallel computation.
Topics
- Applications of parallel and distributed computing
- Big data applications
- Computational and data-enabled science and engineering
- Large-scale social network analysis
- Parallel crowd sourcing
- Cloud and grid computing
- Management of big data
- Biological and medical applications
- Scientific
- Mobile computing
- Parallel and distributed algorithms
- Combinatorial
- Numerical
- Locality-aware and power-aware parallel algorithms
- And data-intensive parallel algorithms
- Parallel algorithms in specific domains such as machine learning and network science
- Streaming algorithms
- Communication and synchronization protocols
- Scalability of algorithms and data structures for parallel and distributed systems
- Scheduling and load balancing
- Network algorithms
- Parallel and distributed software
- Runtime systems
- Parallel and multicore programming languages and compilers
- Resource management including green computing
- Operating systems
- Clouds
- Middleware for grids
- Libraries
- And data centers
- Parallel programming paradigms
- Performance modeling and evaluation
- Programming environments and tools
- Parallel and distributed architectures
- Petascale and exascale systems designs
- Architectures for instruction-level and thread-level parallelism
- Special purpose architectures, including graphics processors, signal processors, network processors, media accelerators, and other special purpose processors and accelerators
- Novel big data architectures
- Network and interconnect architectures
- Impact of technology on architecture
- Architecture of the memory hierarchy
- Parallel I/O and storage systems
- Dependable architectures
- Power-efficient and green computing architectures
- Performance modeling and evaluation
Who should Attend
Engineers and scientists from around the world.
