<pre>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 – High–performance / scientific computing – Libraries – Middleware for parallel systems – Parallel algorithms – Parallel applications and frameworks – Parallel programming for deep memory hierarchies including nonvolatile memory – Parallel programming languages – Parallel programming theory and models – Parallelism in non–scientific workloads: web, search, analytics, cloud, machine learning – 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 Papers should report on original research relevant to parallel programming and should contain enough background materials to make them accessible to the entire parallel programming research community. Papers describing experience should indicate how they illustrate general principles or lead to new insights; papers about parallel programming foundations should indicate how they relate to practice. PPoPP submissions will be evaluated based on their technical merit and accessibility. Submissions should clearly motivate the importance of the problem being addressed, compare to the existing body of work on the topic, and explicitly and precisely state the paper′s key contributions and results towards addressing the problem. Submissions should strive to be accessible both to a broad audience and to experts in the area. </pre>
Abbrevation
PPoPP
City
Washington D.C.
Country
United States
Deadline Paper
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