AIMS & SCOPE

Nowadays parallel architectures are everywhere. However parallel programming is still reserved to experienced programmers. The trend is towards the increase of cores in processors and the number of processors in multiprocessor machines: The need for scalable computing is everywhere. But parallel and distributed programming is still
dominated by low-level techniques such as send/receive message passing and POSIX threads. Thus high-level approaches should play a key role in the shift to scalable computing in every computer.

Algorithmic skeletons (Google's MapReduce being the most well-known skeletal parallelism approach), parallel extensions of functional languages such as Haskell and ML, parallel logic and constraint programming, parallel execution of declarative programs such as SQL
queries, genericity and meta-programming in object-oriented languages, etc. have produced methods and tools that improve the price/performance ratio of parallel software, and broaden the range of target applications. Also, high level languages offer a high degree of abstraction which ease the development of complex systems. Moreover,
being based on formal semantics, it is possible to certify the correctness of critical parts of the applications. The aim of all these languages and tools is to improve and ease the development of applications (safety, expressivity, efficiency, etc.).

The PAPP track is aimed both at researchers involved in the development of high level approaches for parallel computing and engineers and researchers who are potential users of these languages and tools.

PAPP is no longer a workshop but is a track of ACM Symposium on Applied Computing, the flagship conference of ACM Special Interest Group on Applied Computing (SIGAPP). ACM SAC is ranked A1 in the Qualis ranking. The acceptance rate of recent SAC is around 25%.

TOPICS

We welcome submission of original, unpublished papers in English on topics including:

- design, implementation and optimisation of high-level programming languages,

- algorithms and high-level models (CGM, BSP, LogP, MapReduce,...),

- artificial intelligence, software engineering and formal methods applied to high-level parallel programming,

- middleware and tools: performance predictors, visualisations of abstract behaviour, automatic hot-spot detectors, high-level resource managers, compilers, automatic generators, etc.,

- applications of high-level approaches, benchmarks and experiments.

The PAPP track focuses on practical aspects of high-level parallel programming but it welcomes topics of mostly theoretical nature, provided there is clear practical potential in applying the results of such work.

PAPER SUBMISSION AND PUBLICATION

Paper submissions must be original, unpublished work. Submissions should be in electronic format, via the link provided at SAC web page (http://www.acm.org/conferences/sac/sac2018), and are limited to 8 pages.

Author(s) name(s) and address(es) must not appear in the body of the paper, and self-reference should be avoided and made in the third person. Submitted papers will undergo blind review process.

Paper registration is required, allowing the inclusion of the paper/poster in the conference proceedings. An author or a proxy attending SAC MUST present the paper: This is a requirement for the paper/poster to be included in the ACM/IEEE digital library. No-show of scheduled papers and posters will result in excluding them from the ACM/IEEE digital library.

A paper may be accepted as a regular paper or as a poster paper. Regular papers are limited to 8 pages, in camera-ready format, included in the registration fee. Authors have the option to include up to two (2) extra pages at additional fee of US$80 per page. Poster papers are limited to 3 pages, in camera-ready format, included in the registration fee. Authors have the option to include only one (1) extra page at additional fee of US$80.

IMPORTANT DATES

Paper Submission: Sep 25, 2017 (extended)
SRC Abstract Submission: Sep 25, 2017 (extended)
Paper/SRC Notifications: Nov 10, 2017
Camera-Ready Copies: Nov 25, 2017

TRACK PROGRAMME COMMITTEE

Marco Aldinucci (University of Torino, Italy)
Mohamad Al Hajj Hassan (Huawei, Germany)
Mathias Bourgoin (LIFO, Université d'Orléans, France)
Inês de Castro Dutra (Universidade do Porto, Portugal)
Kento Emoto (Kyushu Institute of Technology, Japan)
Alexandros Gerbessiotis (NJIT, USA)
Khaled Hamidouche (AMD Research, USA)
Geoff Hamilton (Dublin City University, Ireland)
Hideya Iwasaki (The University of Electro-Communications, Japan)
Herbert Kuchen (Westfälische Wilhems-Universität Münster, Germany)
Arnaud Lallouet (Huawei Technologies France)
Frédéric Loulergue, Track Chair (Northern Arizona University, USA)
Virginia Niculescu (Babes Bolya University, Romania)
Susanna Pelagatti (University of Pisa, Italy)
Md. Wasi-ur Rahman (Intel, USA)
Jean Charles Régin (Université de Nice Sophia Antipolis, France)
Christian Schute (KTH Royal Institute of Technology, Sweden)
Julien Tesson (Université Paris-Est Créteil, France)