Special Session on:
GPU computing and Many Integrated Core Computing
For the next decade, Moore's Law is still going to bring higher transistor densities allowing Billions of transistors to be integrated on a single chip. However, it becomes obvious that exploiting significant amounts of instruction-level parallelism with deeper pipelines and more aggressive wide-issue superscalar techniques, and using most of the transistor budget for large on-chip caches has come to a dead end. Especially, scaling performance with higher clock frequencies is getting more and more difficult because of heat dissipation problems and too high energy consumption. The latter is not only a technical problem for mobile systems, but is even going to become a severe problem for computing centers because high energy consumption leads to significant cost factors in the budget. For the moment, improving performance can only be achieved by exploiting parallelism on all system levels. Multicore architectures like Graphics Processing Unit (GPU) offer a better performance/Watt ratio than single core architectures with similar performance. Combining multicore and coprocessor technology promises extreme computing power for highly CPU-time-consuming applications like in image processing. The Special Session on GPU Computing and Hybrid Computing aims at providing a forum for scientific researchers and engineers on hot topics related to GPU computing and hybrid computing with special emphasis on applications, performance analysis, programming models and mechanisms for mapping codes.
Topics of interest include, but are not limited to:- GPU computing, multi GPU processing, hybrid computing;
- Programming models, programming frameworks, CUDA, OpenCL, communication libraries;
- Mechanisms for mapping codes;
- Task allocation;
- Fault tolerance;
- Performance analysis;
- Applications: image processing, signal processing, linear algebra, numerical simulation, optimisation;
- Domains: computer science, electronic, embedded systems, telecommunication, medical imaging, finance.
Chairs
- Didier El Baz, LAAS-CNRS, France
Programme Committee:
- Bastien Plazolles, GET-CNRS, France
- Přemysl Šůcha, Czech Technical University, Czech Republic
- Volodymyr Kindratenko, University of Illinois at Urbana-Champaign, USA
- Moris Behnam, Mälardalen University, Sweden
- Vincent Boyer, PISIS-FIME-UANL, Mexico
- David Defour, LAMPS, France
- Adel Dabah, CERIST, Algeria
- Cornelius Vuik, Delft University of Technology, Netherland
- Ahcène Bendjoudi, CERIST, Algeriai
Submission of Papers:
Prospective authors should submit a full paper not exceeding 8 pages in the Conference proceedings format (double-column, 10pt) to the conference main track or to the Special Sessions through the EasyChair conference submission system with an indication of the main track or the name of the Special Session.http://www.easychair.org/conferences/?conf=pdp2022
Double-blind review: the paper should not contain authors names and affiliations; in the reference list, references to the authors' own work entries should be substituted with the string "omitted for blind review”.
Publication: All accepted papers will be included in the same proceedings volume, that will be published by Conference Publishing Services (CPS). The Final Paper Preparation and Submission Instructions will be annoiunced after the notification of acceptance. Authors of accepted papers are expected to register and present their papers at the Conference. Conference proceedings will be be submitted for indexing among others, to DBLP, Scopus ScienceDirect, and ISI Web of Knowledge.
About Euromicro
Euromicro is an international scientific organization advancing sciences and applications of Information Technology and Microelectronics. A major focus is on organizing conferences and workshops in Computer Science and Computer Engineering. Euromicro is a non-profit association founded in 1974 and annual conferences have taken place in more than 20 countries all over Europe. Find out more
Contacts
Didier El Bazteam CDA, LAAS-CNRS
France