International audienceThis is the editorial of the special issue of the HeteroPar 2014, APCIE 2014, and TASUS 2014 workshop

Carretero, Jésus

Jeannot, Emmanuel

Julius, Žilinskas

Lefèvre, Laurent

Rünger, Gudula

Talia, Domenico

Čiegis, Raimondas

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CONCURRENCY AND COMPUTATION: PRACTICE AND EXPERIENCEConcurrency Computat.: Pract. Exper. (2015)Published online in Wiley Online Library (wileyonlinelibrary.com). DOI: 10.1002/cpe.3688EDITORIALHeteroPar 2014, APCIE 2014, and TASUS 2014 Special IssueParallel computing is an active research field where several issues are still open and need to be care-fully investigated to design and implement new solutions for high-performance computing (HPC)systems. Among the many important issues, research work on heterogeneous parallel platforms,industrial and engineering applications, and ultrascale computing can bring important improvementsin future parallel computing systems. This special issue includes a selection of papers addressingthose issues presented in three workshops that took place in August 2014 in Porto, Portugal:! the Twelfth International Workshop on Algorithms, Models and Tools for Parallel Computingon Heterogeneous Platforms (Heteropar 2014),! the workshop on Applications of Parallel Computation in Industry and Engineering (APCIE),and! TASUS 2014: techniques and applications for sustainable ultrascale computing systems.These workshops were organized by members of the Nesus Cost Action IC 1305: Network forSustainable Ultrascale Computing, which is a follow-up of COST Actions IC0804 and IC0805 [1].The goal of the NESUS Action is to establish an open European research network targetingsustainable solutions for ultrascale computing aiming at cross fertilization among HPC, large-scaledistributed systems, and big data management. This network aims at contributing to glue disparateresearchers working across different areas and provide a meeting ground for researchers in theseseparate areas to exchange ideas, to identify synergies, and to pursue common activities inresearch topics such as sustainable software solutions (applications and system software stack), datamanagement, energy efficiency, and resilience.We have selected five papers among the 12 submitted to this special issue:! A Domain-Specific High-Level Programming Model [2], which present a high-level parallelprogramming model, specifically designed to execute digital signal processing applications onaccelerators and regular CPUs.! In Execution of Compound Multi-Kernel OpenCL Computations in Multi-CPU/Multi-GPUEnvironments [3], the authors address the execution of compound, multi-kernel, Open Com-puting Language (OpenCL) computations in multi-CPU/multi-Graphic Processing Unit (GPU)environments.! The Particle Filter Algorithm: Parallel Implementations and Performance Analysis overAndroid Mobile Devices [4], which propose an implementation of the particle filter algorithm(an algorithm frequently used in image and video processing, it constitutes the baselinealgorithm in many applications: feature tracking, facial recognition, tracking of vehicles intraffic, video compression, etc.) for mobile devices.! Network-Aware Optimization of Communications for Parallel Matrix Multiplication onHierarchical HPC Platforms [5] addresses the problem of efficient execution of data-parallelapplications on interconnected clusters and present a topology-aware optimization thatimproves data partition by taking into account the entire communication flow of the application.! In A High Level and Accurate Energy Model of Parallel and Concurrent Workloads [6], theauthors have developed an energy model and a methodology to automatically extract featuresthat characterize the computational environment relying only on a single power meter thatmeasures the energy consumption of the whole system.The selected papers cover very important scientific issues encountered nowadays such as the fol-lowing: CPU/GPU execution, system-on-chip programming, parallel algorithms taking into accountvarious constraints (energy, communication, etc.), programming models, and so on.Copyright © 2015 John Wiley & Sons, Ltd.EDITORIALWe really hope that the reader will enjoy this high-quality issue, and we are sure that she/he willfind it highly relevant to the state-of-the-art of today’s heterogeneous and parallel computing.REFERENCES1. Jeannot E, Žilinskas J. High Performance Computing on Complex Environments. Wiley, 2014.2. Mansourim F, Huet S, Houzet D. A domain-specific high-level programming model. Concurrency and Computation:Practice and Experience 2015. DOI: 10.1002/cpe.3622.3. Soldado F, Alexandre F, Hervé P. Execution of compound multi-kernel openCL computations in multi-CPU/multi-GPU environments. Concurrency and Computation: Practice and Experience 2015. DOI: 10.1002/cpe.3612.4. Acosta A, Francisco A. The particle filter algorithm: parallel implementations and performance analysis over androidmobile devices. Concurrency and Computation: Practice and Experience 2015. DOI: 10.1002/cpe.3626.5. Malik T, Rychkov V, Lastovetsky A. Network-aware optimization of communications for parallel matrix mul-tiplication on hierarchical HPC platforms. Concurrency and Computation: Practice and Experience 2015. DOI:10.1002/cpe.3609.6. Morelli Davide, Canciani Andrea, Cisternino Antonio. A high level and accurate energy model of parallel andconcurrent workloads. Concurrency and Computation: Practice and Experience 2015. DOI: 10.1002/cpe.3610.JESUS CARRETEROUniversity of Carlos III de Madrid, Madrid, SpainRAIMONDAS ČIEGISVilnius Gediminas Technical University, Vilnius, LithuaniaEMMANUEL JEANNOTInria, FranceE-mail: emmanuel.jeannot@inria.frLAURENT LEFEVREInria, FranceGUDULA RÜNGERTechnical University of Chemnitz, Chemnitz, GermanyDOMENICO TALIAUniversity of Calabria, Rende, ItalyJULIUS ŽILINSKASVilnius University, Institute of Mathematics and Informatics, Vilnius, LithuaniaCopyright © 2015 John Wiley & Sons, Ltd. Concurrency Computat.: Pract. Exper. (2015)DOI: 10.1002/cpe

HeteroPar 2014, APCIE 2014, and TASUS 2014 Special Issue

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HeteroPar 2014, APCIE 2014, and TASUS 2014 Special Issue

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