The 9th International Workshop on Programming Models and Applications for Multicores and Manycores (PMAM 2018) is to be held in conjunction with PPoPP 2018 on February 24-28, 2018 in Vienna, Austria.
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.
All accepted papers will be published in the PMAM 2018 proceedings by 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 Parallel Computing (https://www.journals.elsevier.com/parallel-computing/).
For more information, contact co-editors: Min Si, Zhiyi Huang (email@example.com) and Pavan Balaji (firstname.lastname@example.org).
Call for Papers
The 2018 International Workshop on Programming Models and Applications for Multicores and Manycores will be co-located with the PPoPP 2018 conference in February 24-28, 2018, Vösendorf, Austria.
Rapid advancements in multicore and chip-level multi-threading technologies open new challenges and make multicore 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 utilize 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. Selected best papers of PMAM will be considered for publication in a special issue of high ranked journal (Elsevier Parallel Computing, PARCO).
The program committee cordially invites any novel research ideas in (but not limited to) the following 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: December 10, 2017
- Notification of acceptance: January 1, 2018
- Camera-ready papers due: January 15, 2018
Papers reporting original and unpublished research results and experience are solicited. All paper submissions will be handled electronically via EasyChair.
Papers must not exceed 10 pages in standard ACM two-column conference format (preprint mode, with page number and the 9pt template).
Authors must register and submit their paper through the online submission system. If you have problems accessing the system, e-mail your submission to:
pmam2018 at cs dot otago dot ac dot nz
For more details, please refer to:
For enquiries, please contact:
Sun 25 FebDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
08:30 - 10:00
|Building the next Generation of MapReduce Programming Models over MPI to Fill the Gaps between Data Analytics and Supercomputers|
13:30 - 15:00
|Fast and Accurate Performance Analysis of Synchronization|
|Intra-Task Parallelism in Automotive Real-Time Systems|
|Supporting Fine-grained Dataflow Parallelism in Big Data Systems|
15:30 - 17:00
|Understanding Parallelization Tradeoffs for Linear Pipelines|
|An Evaluation of Vectorization and Cache Reuse Tradeoffs on Modern CPUs|
|VAIL: A Victim-Aware Cache Policy for Improving Lifetime of Hybrid Memory|
17:00 - 17:05