PPoPP 2018 - Principles and Practice of Parallel Programming 2018
Topics/Call fo Papers
PPoPP is the premier forum for leading work on all aspects of parallel programming, including theoretical foundations, techniques, languages, compilers, runtime systems, tools, and practical experience. In the context of the symposium, “parallel programming” encompasses work on concurrent and parallel systems (multicore, multi-threaded, heterogeneous, clustered, and distributed systems; grids; datacenters; clouds; and large scale machines). Given the rise of parallel architectures in the consumer market (desktops, laptops, and mobile devices) and data centers, PPoPP is particularly interested in work that addresses new parallel workloads and issues that arise out of extreme-scale applications or cloud platforms, as well as techniques and tools that improve the productivity of parallel programming or work towards improved synergy with such emerging architectures.
Specific topics of interest include (but are not limited to):
Compilers and runtime systems for parallel and heterogeneous systems
Concurrent data structures
Development, analysis, or management tools
Fault tolerance for parallel systems
Formal analysis and verification
Libraries
Middleware for parallel systems
Parallel algorithms
Parallel applications and frameworks
Parallel programming languages
Parallel programming theory and models
Parallelism in non-scientific workloads: web, search, analytics, cloud
Performance analysis, debugging and optimization
Programming tools for parallel and heterogeneous systems
Software engineering for parallel programs
Software for heterogeneous architectures
Software productivity for parallel programming
Synchronization and concurrency control
Specific topics of interest include (but are not limited to):
Compilers and runtime systems for parallel and heterogeneous systems
Concurrent data structures
Development, analysis, or management tools
Fault tolerance for parallel systems
Formal analysis and verification
Libraries
Middleware for parallel systems
Parallel algorithms
Parallel applications and frameworks
Parallel programming languages
Parallel programming theory and models
Parallelism in non-scientific workloads: web, search, analytics, cloud
Performance analysis, debugging and optimization
Programming tools for parallel and heterogeneous systems
Software engineering for parallel programs
Software for heterogeneous architectures
Software productivity for parallel programming
Synchronization and concurrency control
Other CFPs
Last modified: 2017-09-23 22:19:34