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A Framework for Developing Parallel Applications with high level Tasks on Heterogeneous Platforms
2017
Proceedings of the 8th International Workshop on Programming Models and Applications for Multicores and Manycores - PMAM'17
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To improve this, we propose a parallel programming framework based on the tasks and conduits (TNC) model. ...
Further, with the use of GPU tasks, we can easily adjust the program to leverage GPUs for acceleration. In our tests, a single GPU's performance is comparable to a 4 node multicore CPU cluster. ...
To address these problems, we propose a lightweight unified tasks and conduits (UTC) parallel programming framework based on the tasks and conduits (TNC) model. ...
doi:10.1145/3026937.3026946
dblp:conf/ppopp/LiuL17
fatcat:gelcnml2nfbixcjt5ttdbols24
Myrmics: Scalable, Dependency-aware Task Scheduling on Heterogeneous Manycores
[article]
2016
arXiv
pre-print
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Based on these concepts, we create and evaluate Myrmics, a runtime system for a dependency-aware, task-based programming model on a heterogeneous hardware prototype platform that emulates a single-chip ...
Task-based programming models have become very popular, as they offer an attractive solution to parallelize serial application code with task and data annotations. ...
BACKGROUND: PROGRAMMING MODEL We design the decentralized Myrmics runtime to implement a dependency-aware, task-based programming model with region-based memory management. ...
arXiv:1606.04282v1
fatcat:c4f7fllpgnctdcf5uxz2kwxuiu
DALiuGE: A Graph Execution Framework for Harnessing the Astronomical Data Deluge
[article]
2017
arXiv
pre-print
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Such decentralisation also makes the execution framework very scalable and flexible, supporting pipeline sizes ranging from less than ten tasks running on a laptop to tens of millions of concurrent tasks ...
In a companion paper, we provide in-depth analysis of DALiuGE's scalability to very large numbers of tasks on two supercomputing facilities. ...
To tackle the "productivity wall" challenge, the ClusterSs programming model [22] allows developers to parallelise the execution of a sequential application across a large cluster without explicitly ...
arXiv:1702.07617v1
fatcat:mdytnmtb3fg3tc6j64wv3onsaq
Achieving High Performance on Supercomputers with a Sequential Task-based Programming Model
2017
IEEE Transactions on Parallel and Distributed Systems
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on a preliminary version of the manuscript. ...
The authors furthermore thank Cédric Augonnet, David Goudin and Xavier Lacoste from CEA CESTA who strongly contributed to this achievement as well as Luc Giraud and Emmanuel Jeannot for their feedback ...
The main task-based programming model relying on explicit dependencies between tasks is certainly the Parameterized Task Graph (PTG) model [18] . ...
doi:10.1109/tpds.2017.2766064
fatcat:ns3cvnpfjzfexcqu3o4mmo6ef4
TODS: cluster object storage platform designed for scalable services
2004
Future generations computer systems
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We also demonstrate that the programming interface is significantly easier to use than that of RDBMS with a head-to-head comparative experiment. ...
TODS provides a unified, transparent and object-oriented view of the storage devices of the whole cluster, which greatly simplifies cluster service development. ...
We believe that an object-oriented data model have at least two advantages over a relational model for Internet services. First, it is in most cases easier to use for service programmers. ...
doi:10.1016/s0167-739x(03)00173-0
fatcat:mw6exz2etnfynnngl32p3bnn3q
DASH: Distributed Data Structures and Parallel Algorithms in a Global Address Space
[chapter]
2020
Lecture Notes in Computational Science and Engineering
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We also present a performance and productivity study where we compare DASH with a set of established parallel programming models. ...
DASH is a new programming approach offering distributed data structures and parallel algorithms in the form of a C++ template library. ...
We would also like to thank the German research foundation (DFG) for the funding received through the SPPEXA priority programme and initiators and managers of SPPEXA for their foresight and level-headed ...
doi:10.1007/978-3-030-47956-5_6
fatcat:44avzbgnkvh73iriqceboti4wu
Bicycle Speed Modelling Considering Cyclist Characteristics, Vehicle Type and Track Attributes
2021
World Electric Vehicle Journal
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In order to provide a better basis for bicycle-related traffic simulations and theoretical derivations, the study aimed to seek the best distribution for bicycle riding speed considering cyclist characteristics ...
; (2) Among the common distribution, generalized extreme value, gamma and lognormal were the top three models to fit the three clusters of speed dataset; and (3) integrating stability and overall performance ...
Acknowledgments: The authors would like to express their sincere thanks to the anonymous reviewers for their constructive comments on an earlier version of this manuscript. ...
doi:10.3390/wevj12010043
fatcat:tkw6uxxkangsdigd7dgdcjmxcq
D9.2.1: First Report on Multi-Petascale to Exascale Software
2011
Zenodo
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Since the recent end of frequency scaling, we observe a rapid evolution of power-efficient computer architectures. ...
We summarize our findings separately by topic: computer systems, parallel programming languages and system software and tools. ...
ClusterSs, which is currently under development, is the combination of the StarSs programming model with the GASNet communication layer allowing a multicore program to be run on distributed machines. ...
doi:10.5281/zenodo.6552877
fatcat:2bluglv435ew5chaauw2ppdhl4
Optimal Cell Clustering and Activation for Energy Saving in Load-Coupled Wireless Networks
2015
IEEE Transactions on Wireless Communications
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Optimizing activation and deactivation of base station transmissions provides an instrument for improving energy efficiency in cellular networks. ...
In this paper, we study optimal cell clustering and scheduling of activation duration for each cluster, with the objective of minimizing the sum energy, subject to a time constraint of delivering the users ...
The work of the first author has been supported by the Chinese Scholarship Council (CSC) and the overseas PhD research internship scheme from Institute for Infocomm Research (I 2 R), A*STAR, Singapore. ...
doi:10.1109/twc.2015.2449295
fatcat:iyj7xs7yb5ew5jtkucstwpstci
Biosynthetic Gene Clusters in Bacteria: A Review
2022
Proceedings of the Pakistan Academy of Sciences: B. Life and Environmental Sciences
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Biosynthetic gene clusters need to be explored widely under various culture conditions so that more useful products can be extracted from a single type of bacterium. ...
This review focuses on the secondary metabolite production, extraction, and biosynthetic gene clusters which encode megasynthases responsible for the production of antimicrobial compounds. ...
Cluster finder identifies the BGC based on statistical analysis. ...
doi:10.53560/ppasb(58-3)665
fatcat:qlvussos7zfsfhinxckr7ibhm4
Multivariate sparse clustering for extremes
[article]
2021
arXiv
pre-print
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Our procedure based on a rigorous methodology aims at capturing clusters of extremal coordinates of X. ...
Identifying directions where extreme events occur is a major challenge in multivariate extreme value analysis. ...
We also derive in this section a test procedure based on the score to identify biased clusters. ...
arXiv:2007.11848v2
fatcat:3znlv47zcbafzl55zqr75ht5lu
Evolution of Cluster Elliptical Galaxies
2003
Astrophysical Journal
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When compared to local cluster luminosity functions, there is evidence for a brightening of a few tenths of a magnitude in M* (the exact value depends on the cosmology). ...
The luminosity functions for the red galaxies from the eight clusters in the CTIO sample show that are well-represented by a Schechter function, consistent with a single value for their characteristic ...
In particular, I want to thank: Daniela and Javier for their constant support, love and understanding. ...
doi:10.1086/377528
fatcat:xuj3odg44bdavd7cmx6jsarikq
TODS: cluster object storage platform designed for scalable services
Fifth International Conference on Algorithms and Architectures for Parallel Processing, 2002. Proceedings.
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We also demonstrate that the programming interface is significantly easier to use than that of RDBMS with a head-to-head comparative experiment. ...
TODS provides a unified, transparent and object-oriented view of the storage devices of the whole cluster, which greatly simplifies cluster service development. ...
We believe that an object-oriented data model have at least two advantages over a relational model for Internet services. First, it is in most cases easier to use for service programmers. ...
doi:10.1109/icapp.2002.1173549
fatcat:bxbvt7xvonbwnk5xt4rbjz4sem
Advanced transmission electron microscopy investigation of nano-clustering in Gd-doped GaN
[article]
2017
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The results indicate that the driving force for the formation of observed platelet in specific size is a compromise between the gain in cohesive energy and the penalty from interfacial strain energy due ...
This atomic structure model enables our discussion about the energetics of the clusters. ...
This is not a routinely formidable task, because of the difference in the geometry of structure model and experimental conditions. ...
doi:10.18452/16950
fatcat:trtkqb6ljbfbtlc4j3wlzsm6tu
A Framework for Self-Initiative Peer Clustering Agents
2021
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The resulting application is based on the Peer Model, a coordination-based programming model. ...
Ant-based Clustering, Ant K-Means, Fuzzy C-Means, Genetic K-Means, Hierarchical Clustering, K-Means and Particle Swarm Optimization. ...
The technicalb ackground is focused on P2P networks.T hen,t he Peer Model, a coordination-based programming modeli si ntroduced. ...
doi:10.34726/hss.2021.66923
fatcat:hbsnyvdhfba43f5k7o3gibu55i
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