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Computational models and resource allocation for supercomputers

J. Mauney, D.P. Agrawal, Y.K. Choe, E.A. Harcourt, S. Kim, W.J. Staats
1989 Proceedings of the IEEE  
This is the resource allocation problem. The computational models of available supercomputers and the associated resource allocation techniques are surveyed.  ...  There are several different architectures used in supercomputers, with differing computational models. These different models present a variety of resource allocation problems that must be solved.  ...  Then we will discuss strategies for allocating supercomputer resources, both statically and dynamically.  ... 
doi:10.1109/5.48828 fatcat:vhlqy2v3trfwblcqpsol2zivpi

Resource allocation and utilization in the Blue Gene/L supercomputer

Y. Aridor, T. Domany, O. Goldshmidt, J. E. Moreira, E. Shmueli
2005 IBM Journal of Research and Development  
This paper describes partition allocation for parallel jobs in the Blue Genet/L supercomputer.  ...  We discuss the ensuing algorithmic framework for computational and communication resource allocation and present results of simulations that explore resource utilization of BG/L for different workloads  ...  We based our simulated workloads on the job logs of real parallel systems: the Cornell Theory Center (CTC) SP2 and the San Diego Supercomputer Center (SDSC) SP2.  ... 
doi:10.1147/rd.492.0425 fatcat:cg4iwmscknddxeglupih32uf6u

Distributed optimization Grid resource discovery

Mohammad Hasanzadeh, Mohammad Reza Meybodi
2014 Journal of Supercomputing  
(DOG) resource discovery algorithm.  ...  Grid computing is a framework for large-scale resource sharing and indexing that evolves with the goal of resource provisioning.  ...  For example, assume r resources from t resource types, g = r /t is the resource granularity. Moreover, each resource type is divided into m resource metrics.  ... 
doi:10.1007/s11227-014-1289-4 fatcat:evkwukzemnhlbnkgdsyf34ynyu

A Flexible Resource Management Architecture for the Blue Gene/P Supercomputer

Sam Miller, Mark Megerian, Paul Allen, Tom Budnik
2007 2007 IEEE International Parallel and Distributed Processing Symposium  
Blue Gene R /P is a massively parallel supercomputer intended as the successor to Blue Gene/L.  ...  The resource management software for such a large parallel system faces several challenges, including system fragmentation due to partitioning, presenting resource usage information using a polling or  ...  Conclusion This paper presented the resource management architecture for the BG/P supercomputer and showed how it is flexible enough to support a wide variety of resource management systems and their scheduling  ... 
doi:10.1109/ipdps.2007.370628 dblp:conf/ipps/MillerMAB07 fatcat:5iutrrxq3bc4boa6enzy5224au

End-to-End Predictions-Based Resource Management Framework for Supercomputer Jobs [article]

Swetha Hariharan, Prakash Murali, Abhishek Pasari, Sathish Vadhiyar
2020 arXiv   pre-print
In this work, we have developed an end-to-end resource management framework that uses predictions of queue waiting and execution times to minimize response times of user jobs submitted to supercomputer  ...  We have developed two resource management techniques that employ these predictions, one that selects the number of processors for execution and the other that also dynamically changes the job submission  ...  of user jobs submitted to supercomputer systems.  ... 
arXiv:2008.08292v1 fatcat:45xi2lthwbf6zcrqz6qfifhjma

Easy Access to HPC Resources through the Application GUI

2016 Supercomputing Frontiers and Innovations  
KAUST hosts the tenth fastest supercomputer in the world (Shaheen II) and several HPC clusters.  ...  Researchers can be inhibited by the complexity, as they need to learn new languages and execute many tasks in order to access the HPC clusters and the supercomputers.  ...  Supercomputing Frontiers and Innovations HPC Gateway for automating the workflow sequence for applications that do not have built-in support for remote job submission.  ... 
doi:10.14529/jsfi160302 fatcat:mf64ogmj6jeqzkmqbtc3bxpdcu

Improving the Effective Utilization of Supercomputer Resources by Adding Low-Priority Containerized Jobs [article]

Julia Dubenskaya, Stanislav Polyakov
2019 arXiv   pre-print
We propose an approach to utilize idle computational resources of supercomputers.  ...  The experiments demonstrate that the proposed system increases the effective utilization of supercomputer resources under most of the conditions, in some cases significantly improving the performance.  ...  The work was supported by the Russian Foundation for Basic Research grant 18-37-00502 "Development and research of methods for increasing the performance of supercomputers based on job migration using  ... 
arXiv:1909.00394v1 fatcat:x47lqigrb5gdnajiy3sfvjl22i

Grid resource management based on economic mechanisms

Chuliang Weng, Minglu Li, Xinda Lu
2007 Journal of Supercomputing  
A general equilibrium method is presented for general resources and a double auction method is proposed for special resources in the grid environment, respectively.  ...  In this paper, an economic-based resource management framework is put forward for grid computing, and then how to determine the price of resources with the economic mechanism is studied.  ...  The primary resource level, which could encapsulate these physical resources into virtual resources or WS-Resource in accordance with WS-Resource Framework [18] , will deal with resource pricing and accounting  ... 
doi:10.1007/s11227-007-0131-7 fatcat:igsftb66hrcglho5q7itxbpdya

HDF Cloud – Helmholtz Data Federation Cloud Resources at the Jülich Supercomputing Centre

Björn Hagemeier
2019 Journal of large-scale research facilities JLSRF  
The HDF Cloud is an OpenStack based infrastructure-as-a-service (IaaS) environment operated by Jülich Supercomputing Centre (JSC) at Forschungszentrum Jülich.  ...  To this end, it has been connected to one of the central storage resources of JSC, the DATA file system that is also available on the high-performance computing systems.  ...  Since the service-providing VMs are community-managed they are isolated from the user management of the supercomputing facility.  ... 
doi:10.17815/jlsrf-5-173 fatcat:4xgk2mbdszgldo6564x7zxb3di

Long-term resource fairness

Shanjiang Tang, Bu-sung Lee, Bingsheng He, Haikun Liu
2014 Proceedings of the 28th ACM international conference on Supercomputing - ICS '14  
Third, LTRF has a resource-as-you-pay fairness property, which ensures the amount of resources that each client should get according to her monetary cost, despite that her resource demand varies over time  ...  Fair resource allocation is a key building block of any shared computing system.  ...  ., Amazon, supercomputer operator), they only need to guarantee the amount of resources allocated to each client over a period of time.  ... 
doi:10.1145/2597652.2597672 dblp:conf/ics/TangLHL14 fatcat:ufs2ohptvndp3ps7un63qwkwpe

Computational Resource Consumption in Convolutional Neural Network Training – A Focus on Memory

2021 Supercomputing Frontiers and Innovations  
Essentially, it aims at verifying and compare resource consumption and its interaction by using two types of GPUs with different compute capabilities and to show the orchestration of resources of both  ...  Tool for Characterizing the Resources Consumed This section describes the tool developed for analysis.  ... 
doi:10.14529/jsfi210104 fatcat:nynesrsaerdfvdvl6ekn3mo6fq

Energy efficient utilization of resources in cloud computing systems

Young Choon Lee, Albert Y. Zomaya
2010 Journal of Supercomputing  
The drawback of this type of methods is the assumption that they make about a tight coupling between the tasks and the resources.  ...  This work uses the potential offered by the virtualization in order to apply a task consolidation through two heuristics in order to maximize the resource utilization.  ... 
doi:10.1007/s11227-010-0421-3 fatcat:k6xcw3eof5hcxgbnrxxtqdpo2y

Efficient resource management for virtual desktop cloud computing

Lien Deboosere, Bert Vankeirsbilck, Pieter Simoens, Filip De Turck, Bart Dhoedt, Piet Demeester
2012 Journal of Supercomputing  
We study different aspects to optimize the resource usage and customer satisfaction.  ...  The results of the paper indicate that the resource utilization can increase with 29% by applying the proposed optimizations.  ...  For the envisioned service, it is extremely important to provide crisp interactivity of the service to all clients at all times, which is not the case in traditional supercomputing topics such as job/batch  ... 
doi:10.1007/s11227-012-0747-0 fatcat:tkxorakgqjcw7mw2qdzzdpvrf4

Advances in Ordinary Kriging Using the Stampede and Bridges Supercomputers

Erin M. Hodgess, Kendra Mhoon
2018 Journal of Geological Resource and Engineering  
These improvements include processing and forecasting vectors of size 25,000 in an average time of 6 minutes on the Stampede Supercomputer and 2.5 minutes on the Bridges Supercomputer as compared to previous  ...  variogram models and ordinary kriging using the R statistical language, in conjunction with Fortran, the MPI (Message Passing Interface), and the "pbdDMAT" package within R on the Bridges and Stampede Supercomputers  ...  The analyses were performed on the Stampede and Bridges supercomputers. The Stampede supercomputer is located at the Texas Advanced Computing Center at the University of Texas.  ... 
doi:10.17265/2328-2193/2018.01.002 fatcat:6qz7zw4edbahflzy765ofe33dm

Improving utilization of reconfigurable resources using two-dimensional compaction

Ahmed A. El Farag, Hatem M. El-Boghdadi, Samir I. Shaheen
2007 Journal of Supercomputing  
The resource management system consists of two main units: Placement unit and Compaction unit.  ...  So, there exist a serious need for well-defined system service that helps to efficiently manage the area resource.  ... 
doi:10.1007/s11227-007-0134-4 fatcat:plolxnpoobhlja5zudezksz3ke
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