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A Framework for Developing Parallel Applications with high level Tasks on Heterogeneous Platforms

Chao Liu, Miriam Leeser
2017 Proceedings of the 8th International Workshop on Programming Models and Applications for Multicores and Manycores - PMAM'17  
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]

Spyros Lyberis, Polyvios Pratikakis, Iakovos Mavroidis, Dimitrios S. Nikolopoulos
2016 arXiv   pre-print
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]

Chen Wu, Rodrigo Tobar, Kevin Vinsen, Andreas Wicenec, Dave Pallot, Baoqiang Lao, Ruonan Wang, Tao An, Mark Boulton, Ian Cooper, Richard Dodson, Markus Dolensky, Ying Mei, Feng Wang
2017 arXiv   pre-print
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

Emmanuel Agullo, Olivier Aumage, Mathieu Faverge, Nathalie Furmento, Florent Pruvost, Marc Sergent, Samuel Paul Thibault
2017 IEEE Transactions on Parallel and Distributed Systems  
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

Feng Zhou, Chao Jin, Yinghui Wu, Weimin Zheng
2004 Future generations computer systems  
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]

Karl Fürlinger, José Gracia, Andreas Knüpfer, Tobias Fuchs, Denis Hünich, Pascal Jungblut, Roger Kowalewski, Joseph Schuchart
2020 Lecture Notes in Computational Science and Engineering  
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

Xingchen Yan, Xiaofei Ye, Jun Chen, Tao Wang, Zhen Yang, Hua Bai
2021 World Electric Vehicle Journal  
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

Volker Strumpen
2011 Zenodo  
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

Lei Lei, Di Yuan, Chin Keong Ho, Sumei Sun
2015 IEEE Transactions on Wireless Communications  
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

Rimsha Dilshad, Nazia Jamil, Rida Batool
2022 Proceedings of the Pakistan Academy of Sciences: B. Life and Environmental Sciences  
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]

Meyer Nicolas
2021 arXiv   pre-print
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

L. Felipe Barrientos, Simon J. Lilly
2003 Astrophysical Journal  
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

Feng Zhou, Chao Jin, Yinghui Wu, Weimin Zheng
Fifth International Conference on Algorithms and Architectures for Parallel Processing, 2002. Proceedings.  
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]

Mingjian Wu, Humboldt-Universität Zu Berlin, Humboldt-Universität Zu Berlin
2017
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

Laura Toifl, Eva Kühn
2021
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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