scholarly journals An ARM cluster for running CMSSW jobs

2020 ◽  
Vol 245 ◽  
pp. 05038
Author(s):  
Lirim Osmani ◽  
Tomas Lindén
Keyword(s):  
Compact Muon Solenoid ◽  
Power Efficiency ◽  
High Performance ◽  
Heterogeneous Computing ◽  
Experimental Phase ◽  
Commodity Hardware ◽  
High Throughput Computing ◽  
Wide Range ◽  
Primary Focus ◽  
Performance Computing

The ARM platform extends from the mobile phone area to development board computers and servers. It could be that in the future the importance of the ARM platform will increase for High Performance Computing/High Throughput Computing (HPC/HTC) if new more powerful (server) boards are released. For this reason Compact Muon Solenoid Software (CMSSW) has previously been ported to ARM in earlier work. The CMSSW is deployed using the CERN Virtual Machine File System (CVMFS) and the jobs are run inside Singularity containers. Some ARM AArch64 CMSSW releases are available in CVMFS for testing and development. In this work CVMFS and Singularity have been compiled and installed on an ARM cluster and the AArch64 CMSSW releases in CVMFS have been used. We report on our experiences with this ARM cluster for CMSSW jobs. Commodity hardware designed around the 64-bit architecture has been the basis of current virtualization trends with the advantage to emulate diverse environments for a wide range of computational scenarios. However, in parallel the mobile revolution have given a rise to ARM SoCs with primary focus on power efficiency. While still in the experimental phase, the power efficiency and 64-bit heterogeneous computing already point to an alternative option for traditional x86_64 CPUs servers for datacenters.

High Performance Computing on Mobile Devices

2016 ◽  
pp. 334-348
Author(s):  
Atta ur Rehman Khan ◽  
Abdul Nasir Khan
Keyword(s):  
Cloud Computing ◽  
High Performance Computing ◽  
Mobile Devices ◽  
High Performance ◽  
Mobile Cloud Computing ◽  
Computation Offloading ◽  
Mobile Cloud ◽  
Computing Technology ◽  
Wide Range ◽  
Performance Computing

Mobile devices are gaining high popularity due to support for a wide range of applications. However, the mobile devices are resource constrained and many applications require high resources. To cater to this issue, the researchers envision usage of mobile cloud computing technology which offers high performance computing, execution of resource intensive applications, and energy efficiency. This chapter highlights importance of mobile devices, high performance applications, and the computing challenges of mobile devices. It also provides a brief introduction to mobile cloud computing technology, its architecture, types of mobile applications, computation offloading process, effective offloading challenges, and high performance computing application on mobile devises that are enabled by mobile cloud computing technology.

scholarly journals A Framework for HI Spectral Source Finding Using Distributed-Memory Supercomputing

2014 ◽  
Vol 31 ◽  
Author(s):  
Stefan Westerlund ◽  
Christopher Harris
Keyword(s):  
High Performance ◽  
Distributed Memory ◽  
Computing Systems ◽  
Sky Surveys ◽  
Local Statistics ◽  
Wide Range ◽  
Gaussian Source ◽  
High Bandwidth ◽  
Traditional Approaches ◽  
Performance Computing

AbstractThe latest generation of radio astronomy interferometers will conduct all sky surveys with data products consisting of petabytes of spectral line data. Traditional approaches to identifying and parameterising the astrophysical sources within this data will not scale to datasets of this magnitude, since the performance of workstations will not keep up with the real-time generation of data. For this reason, it is necessary to employ high performance computing systems consisting of a large number of processors connected by a high-bandwidth network. In order to make use of such supercomputers substantial modifications must be made to serial source finding code. To ease the transition, this work presents the Scalable Source Finder Framework, a framework providing storage access, networking communication and data composition functionality, which can support a wide range of source finding algorithms provided they can be applied to subsets of the entire image. Additionally, the Parallel Gaussian Source Finder was implemented using SSoFF, utilising Gaussian filters, thresholding, and local statistics. PGSF was able to search on a 256GB simulated dataset in under 24 minutes, significantly less than the 8 to 12 hour observation that would generate such a dataset.

scholarly journals Performance evaluation of container-based virtualization for high performance computing environments

2019 ◽  
Vol 18 (4) ◽  
pp. 31-42 ◽  
Author(s):  
Carlos Arango ◽  
Rémy Dernat ◽  
John Sanabria
Keyword(s):  
Operating Systems ◽  
High Performance ◽  
Bare Metal ◽  
Single Node ◽  
Network Bandwidth ◽  
Wide Range ◽  
Computing Environments ◽  
Performance Area ◽  
Performance Computing ◽  
Fair Sharing

Virtualization technologies have evolved along with the development of computational environments. Virtualization offered needed features at that time such as isolation, accountability, resource allocation, resource fair sharing and so on. Novel processor technologies bring to commodity computers the possibility to emulate diverse environments where a wide range of computational scenarios can be run. Along with processors evolution, developers have implemented different virtualization mechanisms exhibiting enhanced performance from previous virtualized environments. Recently, operating system-based virtualization technologies captured the attention of communities abroad because their important improvements on performance area. In this paper, the features of three container-based operating systems virtualization tools (LXC, Docker and Singularity) are presented. LXC, Docker, Singularity and bare metal are put under test through a customized single node HPL-Benchmark and a MPI-based application for the multi node testbed. Also the disk I/O performance, Memory (RAM) performance, Network bandwidth and GPU performance are tested for the COS technologies vs bare metal. Preliminary results and conclusions around them are presented and discussed.

scholarly journals HPC as a service: A naive Model

2020 ◽  
Author(s):  
Hamza Ali Imran
Keyword(s):  
Cloud Computing ◽  
High Performance ◽  
Raspberry Pi ◽  
Computing Power ◽  
Commodity Hardware ◽  
Beowulf Clusters ◽  
History Of ◽  
Important Field ◽  
Special Expertise ◽  
Performance Computing

Applications like Big Data, Machine Learning, Deep Learning and even other Engineering and Scientific research requires a lot of computing power; making High-Performance Computing (HPC) an important field. But access to Supercomputers is out of range from the majority. Nowadays Supercomputers are actually clusters of computers usually made-up of commodity hardware. Such clusters are called Beowulf Clusters. The history of which goes back to 1994 when NASA built a Supercomputer by creating a cluster of commodity hardware. In recent times a lot of effort has been done in making HPC Clusters of even single board computers (SBCs). Although the creation of clusters of commodity hardware is possible but is a cumbersome task. Moreover, the maintenance of such systems is also difficult and requires special expertise and time. The concept of cloud is to provide on-demand resources that can be services, platform or even infrastructure and this is done by sharing a big resource pool. Cloud computing has resolved problems like maintenance of hardware and requirement of having expertise in networking etc. An effort is made of bringing concepts from cloud computing to HPC in order to get benefits of cloud. The main target is to create a system which can develop a capability of providing computing power as a service which to further be referred to as Supercomputer as a service. A prototype was made using Raspberry Pi (RPi) 3B and 3B+ Single Board Computers. The reason for using RPi boards was increasing popularity of ARM processors in the field of HPC

scholarly journals Experiences with distributed computing for meteorological applications: Grid computing and Cloud computing

2015 ◽  
Vol 8 (2) ◽  
pp. 1171-1199 ◽  
Author(s):  
F. Schüller ◽  
S. Ostermann ◽  
R. Prodan ◽  
G. J. Mayr
Keyword(s):  
Distributed Computing ◽  
Grid Computing ◽  
High Performance ◽  
Cost Effective ◽  
Use Case ◽  
The Core ◽  
Wide Range ◽  
Different Characteristics ◽  
Performance Computing ◽  
Computing Capacity

Abstract. Experiences with three practical meteorological applications with different characteristics are used to highlight the core computer science aspects and applicability of distributed computing to meteorology. Presenting Cloud and Grid computing this paper shows use case scenarios fitting a wide range of meteorological applications from operational to research studies. The paper concludes that distributed computing complements and extends existing high performance computing concepts and allows for simple, powerful and cost effective access to computing capacity.

A field test for evaluating high performance concrete covercrete quality

1998 ◽  
Vol 25 (3) ◽  
pp. 551-556 ◽  
Author(s):  
S J DeSouza ◽  
R D Hooton ◽  
J A Bickley
Keyword(s):  
High Performance ◽  
High Performance Concrete ◽  
Capillary Absorption ◽  
Initial Surface ◽  
Surface Absorption ◽  
Wide Range ◽  
Rate Of Absorption ◽  
Initial Resistance ◽  
Attack Surface ◽  
Primary Focus

Since in most deterioration mechanisms fluid ingress plays an important role, the surface skin of concrete provides the initial resistance to such factors as de-icer salt penetration, freeze-thaw resistance, and sulphate attack. Surface durability testing must evaluate resistance to the predominant mechanism of initial fluid ingress: capillary absorption or sorptivity. The primary focus of this study was to develop a test device suitable for nondestructive field use to evaluate the durability of covercrete by determining the rate of absorption of concrete, including high performance concrete. This type of testing device must be simple to use, easily handled in the field, portable, and inexpensive. This particular device allows for ease of operation and accommodates a wide range of surface applications such as vertical, horizontal, or sloped surfaces, and smooth or rough finishes, while providing quick, consistent, and meaningful results. The development of this apparatus was based on principles presented in the British Initial Surface Absorption Test BS 1881, Part 5: 1970, since it focuses on water absorption. Tests of this nature, however, are very sensitive to the in situ moisture content of the surface concrete, as it will drastically alter the rate of absorption. In this paper, the field rate of absorption equipment is described and both calibration and field data are presented.Key words: sorptivity, nondestructive testing, durability, ISAT.

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