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LLSuperCloud: Sharing HPC systems for diverse rapid prototyping
2013
2013 IEEE High Performance Extreme Computing Conference (HPEC)
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The benefits of LLSuperCloud are highlighted using a mixed workload of C MPI, parallel Matlab, Java, databases, and virtualized web services. ...
Within enterprise computing, commodity computing servers have resulted in the development of a wide range of new cloud capabilities: elastic computing, virtualization, and data hosting. ...
SUMMARY AND FUTURE WORK This article has explained how a variety of different prototyping job types are being accommodated on the LLGrid shared HPC cluster computing system. ...
doi:10.1109/hpec.2013.6670329
dblp:conf/hpec/ReutherKABBBHMMPR13
fatcat:7iw2de4brvfbjdlgm3j7m34bvq
Study of next-generation infrastructure: InfiniBand HPC grid computing for telecommunications data center
2010
2010 3rd International Conference on Computer Science and Information Technology
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Grid computing is increasingly being viewed as the next phase of distributed computing. ...
Grid computing originates in e-Science and its early development was driven to a large extent by the requirements of large-scale computing and efficient sharing of huge datasets. e-Business requirements ...
The company realized that its traditional SMP infrastructure and enterprise-class Fibre Channel storage area networks (SAN) in operation for nearly a decade-were insufficient to accommodate future demands ...
doi:10.1109/iccsit.2010.5564782
fatcat:oauugkslzfgsdlu2yzhjn4drde
pipsCloud: High performance cloud computing for remote sensing big data management and processing
2018
Future generations computer systems
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To solve the aforementioned issues efficiently, we propose pipsCloud which combine recent Cloud computing and HPC techniques to enable large-scale RS data processing system as on-demand real-time services ...
Benefiting from the ubiquity, elasticity and high-level of transparency of Cloud computing model, the massive RS data managing and data processing for dynamic environmental monitoring are all encapsulate ...
Following this way, not only VMs but also BMs could be accommodated for on-demand needs of variable HPC cluster platform for RS applications, so as to decrease performance penalty. ...
doi:10.1016/j.future.2016.06.009
fatcat:gnkwaeggozcenkbuw7vdbmhe7i
An Autonomic Approach to Integrated HPC Grid and Cloud Usage
2009
2009 Fifth IEEE International Conference on e-Science
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The primary goal of this paper is to experimentally investigate, from an applications perspective, how autonomics can enable interesting usage modes and scenarios for integrating HPC Grid and Clouds. ...
Clouds are rapidly joining high-performance Grids as viable computational platforms for scienti c exploration and discovery, and it is clear that production computational infrastructures will integrate ...
research presented in this paper is supported in part by National Science Foundation via grants numbers IIP 0758566, CCF-0833039, DMS-0835436, CNS 0426354, IIS 0430826, and CNS 0723594, by Department of ...
doi:10.1109/e-science.2009.58
dblp:conf/eScience/KimKJP09
fatcat:swbuj3ohvrbcloa5ccp6b6myjq
High Performance Computing and Industry 4.0: Experiences from the DISRUPT Project
2018
Zenodo
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and the factories of the future. ...
This vision, commonly termed as Industry 4.0, is at the core of a number of funded projects in Europe. ...
HPC on demand: The concept of 'HPC on demand' has long been associated with dynamic adjustment of resources for compute and visualization workloads (often through cloud infrastructures) or, additionally ...
doi:10.5281/zenodo.3528266
fatcat:456nrt6mvbfpzezbuzxddoqgy4
Supercomputing Centers and Electricity Service Providers: A Geographically Distributed Perspective on Demand Management in Europe and the United States
[chapter]
2016
Lecture Notes in Computer Science
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grid operation. ...
In this paper, we first present results from a detailed, quantitative survey-based analysis and compare the perspectives of the European grid and SCs to the ones of the United States (US). ...
ESPs today already face reliability concerns for accommodating megawatt-level fluctuations from SCs and often require HPC client sites to forecast their electricity use. ...
doi:10.1007/978-3-319-41321-1_13
fatcat:7jokoczys5fwjia5t7d6hpxmfi
Dynamic Distribution of High-Rate Data Processing from CERN to Remote HPC Data Centers
2021
Computing and Software for Big Science
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computer site as on demand extension of the CERN Tier-0, which could play a role in addressing the future LHC computing challenges for the high luminosity LHC. ...
This is implemented using containers, tuning the existing batch scheduler and reinforcing the scratch file system, while still using standard Grid middleware. ...
Since CERN Tier-0 workloads have never been run on a high performance computer (HPC), we aim at tackling all the technical challenges posed by such demanding workloads. ...
doi:10.1007/s41781-020-00052-w
fatcat:xjkjc7ps5ncvhkvvjnv6d2svni
Granular Security for a Science Gateway in Structural Bioinformatics
2011
International Workshop on Science Gateways
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HPC facilities. ...
It ensures the confidentiality, integrity and availability of data via a granular security concept which covers all layers of the infrastructure. ...
ACKNOWLEDGEMENT We would like to thank Valentina Huber for the basic version of the applet for generating SAML assertions. ...
dblp:conf/iwsg/GesingGBBBBBFHKK0PSSSSFWMK11
fatcat:t3aqeypi5zh3haaobqq7g4ppsm
PanDA: Exascale Federation of Resources for the ATLAS Experiment at the LHC
2016
EPJ Web of Conferences
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Given diverse funding constraints, the computational resources for the LHC have been deployed in a worldwide mesh of data centres, connected to each other through Grid technologies. ...
Since its origins, PanDA has evolved together with upcoming computing paradigms in and outside HEP, such as changes in the networking model, Cloud Computing and HPC. ...
Department of Energy, Office of Science, High Energy Physics and ASCR Contract No. DE-AC02-98CH10886 and Contract No. ...
doi:10.1051/epjconf/201610801001
fatcat:4ybnlkphxrf3jayexd4mljmr4m
A survey on resource allocation in high performance distributed computing systems
2013
Parallel Computing
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Moreover, we have classified the HPC systems into three broad categories, namely: (a) cluster, (b) grid, and (c) cloud systems and define the characteristics of each class by extracting sets of common ...
Therefore, a comprehensive discussion of widely used resource allocation strategies deployed in HPC environment is required, which is one of the motivations of this survey. ...
Department of Energy Office of Science laboratory, is operated under Contract No. DE-AC02-06CH11357. The U.S. ...
doi:10.1016/j.parco.2013.09.009
fatcat:pdbghbohinc55lsgv67yfiw5ni
Hardware-Assisted Detection of Firmware Attacks in Inverter-Based Cyberphysical Microgrids
[article]
2021
arXiv
pre-print
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2020 pre-print arXiv:2009.07691v1 fatcat:652p6hw2ezhuzekxfszkilwiqa
The electric grid modernization effort relies on the extensive deployment of microgrid (MG) systems. ...
The proposed HPCs measure periodically the order of various instruction types within the MG inverter's firmware code. ...
Different inverters exist in order to accommodate the field application requirements of grid systems [29] , [30] . ...
arXiv:2009.07691v2
fatcat:fuw6e5bdkrdnfpl4ca4ginp3k4
Big Data Analytics for Dynamic Energy Management in Smart Grids
2015
Big Data Research
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The most important challenge in a smart grid (SG) is how to take advantage of the users' participation in order to reduce the cost of power. ...
The smart electricity grid enables a two-way flow of power and data between suppliers and consumers in order to facilitate the power flow optimization in terms of economic efficiency, reliability and sustainability ...
Acknowledgement This work was supported by the project of "Scalable Real-Time Load Forecasting in Smart Grid" under a grant from the Khalifa University Internal Research Fund (KUIRF-Level 2; Fund # 210063 ...
doi:10.1016/j.bdr.2015.03.003
fatcat:2rz5wct5djfjhcec6xic5rnd3i
INTERVENTIONS FOR SCIENTIFIC AND ENTERPRISE APPLICATIONS BASED ON HIGH PERFORMANCE AND CLOUD COMPUTING
2014
International Journal of Research in Engineering and Technology
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The goal of HPC is to reduce execution time and accommodate larger and more complicated problems. ...
The scope of HPC is scientific research and engineering as well as the design of enterprise applications. ...
Meanwhile, SGI unveiled on demand cloud HPC service called Cyclone in 2010 [13] . ...
doi:10.15623/ijret.2014.0301070
fatcat:xxctnysnmfbsrlbgqq52ij7xp4
Scheduler technologies in support of high performance data analysis
2016
2016 IEEE High Performance Extreme Computing Conference (HPEC)
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2016 pre-print arXiv:1607.06544v1 fatcat:udpqnfe74vganch7pl5b5cd234
This paper compares and contrasts the features of HPC and Big Data schedulers with a focus on accommodating both scientific computing and high performance data analytic workloads. ...
Grid Engine, Mesos, and Yarn. ...
Feature
LSF
Grid Engine
Slurm
YARN
Mesos
Kubernetes
Type
HPC
HPC
HPC
Big Data
Big Data
Big Data
Cost/Licensing
$$$
$$$, Open source Open source Open source
Open source Open source ...
doi:10.1109/hpec.2016.7761604
dblp:conf/hpec/ReutherBABBHJMP16
fatcat:7npyzy32dzhqhl65soe6qpadpq
The ATLAS Event Service: A new approach to event processing
2015
Journal of Physics, Conference Series
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Department of Energy, Office of Science, High Energy Physics. ...
A specialization of the Event Service for HPCs, Yoda [13] , was developed to accommodate the particular features of HPC architectures, most notably the lack of outbound access from worker nodes. ...
The system is close to entering production on HPC, commercial cloud, grid and volunteer computing platforms. ...
doi:10.1088/1742-6596/664/6/062065
fatcat:tzaig3bawbaefjwbi7tplb566m
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