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Institutional Regulation of Clustering Processes and Innovative Development of Russian Regions
2020
International journal of recent technology and engineering
It is concluded that the current stage of cluster policy in Russian Federation is characterized by the priority application of administrative and program-target models. ...
Russia's transition to the second stage of implementing the cluster development policy will require a transition to infrastructure-institutional and mediation models. ...
development for the region as a whole; development of interregional and international economic relations based on high competitiveness of cluster enterprises. ...
doi:10.35940/ijrte.a1317.059120
fatcat:xx3phwzxszf6xgehtkudfdo25a
Segregating feature interfaces to support software product line maintenance
2016
Proceedings of the 15th International Conference on Modularity - MODULARITY 2016
To address this problem, we present an approach to group members of a feature interface. We argue that often only a subset of all interface members is relevant to a single maintenance task. ...
Therefore, we propose a graph representation that is able to capture the collaboration between members and apply a clustering algorithm to it to group highly-related members and segregate non-related members ...
By using the Jaccard distance, we are able to find the number of interface members unnecessarily considered by the developer during a single maintenance task based on our ideal model of clusters (i.e., ...
doi:10.1145/2889443.2889451
dblp:conf/aosd/CafeoHGAL16
fatcat:arpkrnkfnbgcbctoalnonnkf2e
Multicores in Cloud Computing: Research Challenges for Applications
2010
Journal of Computers
A cluster of multicores will be commonly used as an efficient computational platform for high performance computing in the near future. ...
of multicore for high performance applications in the Cloud environments. ...
Another approach [16] is to program an SMP cluster is using the OpenMP model with a shared virtual memory for the cluster. ...
doi:10.4304/jcp.5.6.958-964
fatcat:w7uw2hf7analhadyn7nqrabvym
EXA2PRO: A Framework for High Development Productivity on Heterogeneous Computing Systems
2021
IEEE Transactions on Parallel and Distributed Systems
The EXA2PRO programming framework aims at improving developers' productivity for applications that target heterogeneous computing systems. ...
It is based on advanced programming models and abstractions that encapsulate low-level platform-specific optimizations and it is supported by a runtime that handles application deployment on heterogeneous ...
for help with the brain modeling application. ...
doi:10.1109/tpds.2021.3104257
fatcat:nue4wgyidratlhvsxi6nts52xi
OmpSs: A PROPOSAL FOR PROGRAMMING HETEROGENEOUS MULTI-CORE ARCHITECTURES
2011
Parallel Processing Letters
-And cluster environments. ○ Unify SMP, heterogeneous and cluster programming in one model • OpenMP achieves high expressiveness using tasks. • StarSs allow runtime analysis between tasks, and automatic ...
models when programming SMP, heterogeneous architectures and clusters • Proposes OmpSs ○ A solution to ease the programming of heterogeneous architectures • Developed to run on SMP with / without GPUs ...
doi:10.1142/s0129626411000151
fatcat:6lenourgorh73im73cymewlb7q
Retrospective: the Cedar system
1998
25 years of the international symposia on Computer architecture (selected papers) - ISCA '98
Another goal was to have the prototype "achieve Cray-1 speeds for programs written in high-level languages and automatically restructured" by a compiler. ...
accepted as a way to speed up the execution of a single program. ...
Macrodataflow ideas of the Cedar project led to many novel scheduling algorithms for arbitrarily nested loops and for general task-graph program models. ...
doi:10.1145/285930.285965
dblp:conf/isca/VeidenbaumYKPPDG98
fatcat:obv6ipwmffbh7e27pzrhkzaza4
A hierarchical framework for cross-domain MapReduce execution
2011
Proceedings of the second international workshop on Emerging computational methods for the life sciences - ECMLS '11
Geoffrey Fox for providing early access to FutureGrid. ...
Local cluster MapReduce execution time based on different number of map tasks. • "Map-Reduce-Global Reduce" model. • Computing Capacity Aware Scheduling • AutoDock as an example. • Performance Evaluation ...
-A large number of docking processes from multiple targeted ligands -Docking processes are data independent An Analysis of Traces from a Production MapReduce Cluster. ...
doi:10.1145/1996023.1996026
fatcat:tgjhz2474ndg7jqqgkhloxsuje
SignalPU: A Programming Model for DSP Applications on Parallel and Heterogeneous Clusters
2014
2014 IEEE Intl Conf on High Performance Computing and Communications, 2014 IEEE 6th Intl Symp on Cyberspace Safety and Security, 2014 IEEE 11th Intl Conf on Embedded Software and Syst (HPCC,CSS,ICESS)
In the present work, we are characterizing DSP applications and propose a programming model based on their distinctiveness in order to implement them easily and efficiently on heterogeneous clusters. ...
Consequently, a high requirement of computing power characterize them. ...
The rest, based on API like StarPU is, in our opinion, the most adapted programming models to implement high level applications on heterogeneous cluster. ...
doi:10.1109/hpcc.2014.144
dblp:conf/hpcc/MansouriHH14
fatcat:pnsbyhpagvb2piyciurdr2c7tm
Multicore software technologies
2009
IEEE Signal Processing Magazine
siP APPLiCAtions x10 ■ DesigneD For high ProDuCtiVitY AnD PerForMAnCe ■ LAnguAge unDer DeVeLoPMent ■ BAseD on A FAMiLiAr LAnguAge (JAVA) *Cilk Arts was recently acquired by intel. ...
Yet, multiple processes are still necessary for running on a cluster of multicore processors. Historically, multiple programming models are used to write multithreaded, multiprocess applications. ...
doi:10.1109/msp.2009.934141
fatcat:wtla5y56mneqri2f6ip2b6keg4
Software development for Industry 4.0 neuroprocessor industrial automation systems
2019
IOP Conference Series: Materials Science and Engineering
The examples of tasks that are effectively solved with their help are shown: control and diagnostics tasks, rolling production tasks, sign identification problems. ...
An example of using the neuroprocessor system for the implementation of the hexapod control task is shown. ...
project of the state task of the Ministry of Education and Science of the Russian Federation No. 2.9519.2017 / BC on the topic "Technologies for parallel processing of data in neurocomputer devices and ...
doi:10.1088/1757-899x/537/3/032044
fatcat:u5efem2tbbblppeg4kzd5mu5lu
An OpenACC-based unified programming model for multi-accelerator systems
2015
Proceedings of the 20th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming - PPoPP 2015
It allows programmers to write programs for multiple accelerators using a uniform programming model whether they are in shared or distributed memory systems. ...
This paper proposes a novel SPMD programming model of Ope-nACC. ...
The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide ...
doi:10.1145/2688500.2688531
dblp:conf/ppopp/KimLV15
fatcat:kuhsqh4kkrhohkej7qezsluxwu
PARALLEL PROGRAMMING MODELS FOR CALCULATING THE PHYSICAL CHARACTERISTICS OF COMPOSITES
2019
Journal of Mechanical Engineering Research and Developments
The increase in computational performance is also provided through parallel programming, the development of which is represented by a set of high-level programming languages, the emergence of new architectures ...
and distributed and cluster systems. ...
This connection is most clearly seen in the following programming models: a model with data parallelism, a model with shared memory, and a model based on message transmissions. ...
doi:10.26480/jmerd.02.2019.10.13
fatcat:wh5uijdhlvfuvov3o6egka5u3i
Author index
2006
2006 IEEE International Conference on Cluster Computing
Kiddle, Cameron
Replay: A Model-Based Service for Supporting Transparent Cluster
Analysis Tools
Kimura, Hideaki
Empirical Study on Reducing Energy of Parallel Programs using
Slack Reclamation by ...
Strategies for Scheduling Precedence-
Constrained Parallel Tasks on Clusters
Workshop
on
High-Performance
I/O
Techniques
and ...
doi:10.1109/clustr.2006.311921
fatcat:vmbbimypuze7ncjqfonu4po5l4
Cluster versus grid for large-volume hyperspectral image preprocessing
2004
Atmospheric and Environmental Remote Sensing Data Processing and Utilization: an End-to-End System Perspective
We look at two modules developed for our prototype data calibration processor for APEX, an airborne imaging spectrometer, which have been implemented on both a cluster and a grid leading us to be able ...
Such "embarrassingly parallel" problems provide the luxury of being able to choose between cluster or grid based solutions to perform these functions. ...
Fruitful cooperation and discussion with Robert Neville and Karl Staenz of the Canadian Centre of Remote Sensing about feature based calibration and look up table generation led to much of the motivation ...
doi:10.1117/12.559849
fatcat:nbj53vskhfddfmutxrc5docdba
Approaches to the clustering methodology in the rocket and space industry as a factor in the formation of a universal production model for the economic development in the space industry
2019
INCAS Bulletin
production of components for the structures of finished products within the integrated structure itself, which leads to the development of substations on their base and has a negative effect on the development ...
wide range of different sanctions against it, emerging sectors of high-tech economy enterprises and aimed at creating a future economic system. ...
cooperation, based on the needs of the formation of production associations based on multi-cluster principles, allowing to form universal production models in the space industry with the involvement of ...
doi:10.13111/2066-8201.2019.11.s.21
fatcat:5uujgxawezbwrisj52ugni47y4
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