PAPP@SAC 2018 Call for Papers

by Frederic Loulergue, Aug. 8, 2017

====================== Call for Papers ======================
SAC'18 - ACM 2018 Symposium on Applied Computing
Technical Track
PAPP - Practical Aspects of High-Level Parallel Programming
Pau, France
April 9-13, 2018

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.


We welcome submission of original, unpublished papers in English on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

- design, implementation and optimisation of high-level programming

- 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 submissions must be original, unpublished work. Submissions
should be in electronic format, via the link provided at SAC web page

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 a 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.

SAC 2018 will also hold a Student Research Competition (SRC). To enter
this in the area of PAPP, please submit via the link at SAC web page.


Paper Submission: Sep 15, 2017
SRC Abstract Submission: Sep 15, 2017
Paper/SRC Notifications: Nov 10, 2017
Camera-Ready Copies: Nov 25, 2017


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)