[NEWS] Paper submission deadline EXTENDED: May 20, 2022
Journal Special Issue: Authors of selected papers will be invited to submit their work to a special issue of Wiley's Concurrency and Computation Practice and Experience journal.
The International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms (HeteroPar 2022) will be held, in its twentieth edition, in Glasgow, Scotland, United Kingdom.
For the 13th time, HeteroPar is organized in conjunction with the Euro-Par annual series of international conferences dedicated to the promotion and advancement of all aspects of parallel computing.
Paper submission deadline: May 20, 2022 - AoE (EXTENDED)
Authors notification: July 01, 2022
Submission Guidelines: Authors are invited to submit papers electronically, through EasyChair. The papers should be submitted in PDF, following the Springer LNCS format . Paper length must not exceed 12 pages (including references). All submitted manuscripts will be checked for originality by Springer iThenticate (papers that show an insufficient originality might be rejected without a review).
Workshop Proceedings: Accepted papers that are presented at the workshop, will be published in a revised form in a special Euro-Par Workshop Volume in the Lecture Notes in Computer Science (LNCS) series after the Euro-Par conference.
[NEW] Journal Special Issue: Authors of selected papers accepted for presentation at HeteroPar'2022 will be invited to submit a revised and extended version of their work to a special issue of Wiley's Concurrency and Computation Practice and Experience journal.
Heterogeneity is emerging as one of the most profound and challenging characteristics of today's parallel environments. From the macro level, where networks of distributed computers, composed of diverse node architectures, are interconnected with potentially heterogeneous networks, to the micro level, where deeper memory hierarchies and various accelerator architectures are increasingly common, the impact of heterogeneity on all computing tasks is increasing rapidly. Traditional parallel algorithms, programming environments and tools, designed for legacy homogeneous multiprocessors, will at best achieve a small fraction of the efficiency and the potential performance that we should expect from parallel computing in tomorrow's highly diversified and mixed environments. New ideas, innovative algorithms, and specialized programming environments and tools are needed to efficiently use these new and multifarious parallel architectures. The workshop is intended to be a forum for researchers working on algorithms, programming languages, tools, and theoretical models aimed at efficiently solving problems on heterogeneous platforms.
Topics to be covered include but are not limited to:
Heterogeneous parallel programming paradigms and models
Languages, libraries, and interfaces for heterogeneous parallel programming models
Performance models and their integration into the design of efficient parallel algorithms for heterogeneous platforms
Parallel algorithms and scheduling for heterogeneous and/or hierarchical systems, including manycores and hardware accelerators (e.g. FPGAs, GPUs, AI accelerators)
Parallel algorithms for efficient problem solving on heterogeneous platforms (e.g. numeri- cal linear algebra, nonlinear systems, fast transforms, computational biology, data mining, artificial intelligence, multimedia)
Applications and software engineering for heterogeneous parallel systems
Algorithms, models and tools for energy and/or multi-objective optimization on heterogeneous platforms
Integration of parallel and distributed computing on heterogeneous systems
Experience of porting parallel software from supercomputers to heterogeneous platforms
Fault tolerance of parallel computations on heterogeneous platforms
Algorithms, models and tools for grid, desktop grid, cloud, and green computing that include heterogeneous computing aspect
Authors are encouraged to submit original, unpublished research or overviews on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms, namely addressing the topics referred above.
INESC-ID, Instituto Superior Técnico
University of Lisbon