PMAM 2016 (original) (raw)
Rapid advancements in multicore and chip-level multi-threading technologies open new challenges and make multicore and manycore systems a part of the computing landscape. From high-end servers to mobile phones, multicores and manycores are steadily entering every single aspect of the information technology.
However most programmers are trained in sequential programming, yet most existing parallel programming models are prone to errors such as data race and deadlock. Therefore to fully utilise multicore and manycore hardware, parallel programming models that allow easy transition of sequential programs to parallel programs with good performance and enable development of error-free codes are urgently needed.
This workshop is dedicated primarily to gather researchers and practitioners addressing the main challenges and share experiences in the emerging multicore and manycore software engineering and distributed programming paradigm. This workshop aims to provide a discussion forum for people interested in programming environments, models, tools and applications specifically designed for parallel multicore and manycore hardware environments.
Here are the photos from the PMAM 2016 workshop:
The program committee cordially invites any novel research ideas in the following (but not limited to) topics:
- programming models and systems for multicore, manycore, and clusters of multicore/manycore
- multicore and manycore software engineering
- parallel and distributed algorithms on GPU and multicore clusters
- parallel libraries and frameworks
- performance analysis, efficiency and effectiveness
- massively parallel processing on multicore/manycore systems and clusters
- automated parallelization and compilation techniques
- debugging and performance autotuning tools and techniques for multicore/manycore applications
- parallel algorithms, applications and benchmarks on multicore/manycore systems
- runtime power/energy management on multicore/manycore systems and clusters
- fault tolerance and resilience
Paper submission deadline : November 16, 2015
Notification of acceptance : December 14, 2015
Camera-ready papers due : January 11, 2016
Accepted papers will be published in the ACM Digital Library, and will be included in the Elsevier databases Scopus and Compendex (EI indexed).
Selected best papers of PMAM will be considered for publication in a special issue of Concurrency and Computation: Practice and Experience or The International Journal of High Performance Computing Applications.
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