Quality of service support for high performance computing on mobile devices

2016 ◽  
Author(s):  
Ramneek ◽  
Patrick Hosein ◽  
Wonjun Choi ◽  
Woojin Seok
Keyword(s):  
Quality Of Service ◽  
High Performance Computing ◽  
Mobile Devices ◽  
High Performance ◽  
Service Support ◽  
Performance Computing

scholarly journals Pengembangan dan Pengujian Sistem Grid Computing Menggunakan Globus Toolkit di Universitas Telkom

2017 ◽  
Vol 2 (1) ◽  
pp. 7
Author(s):  
Izzatul Ummah
Keyword(s):  
Quality Of Service ◽  
Grid Computing ◽  
High Performance Computing ◽  
High Performance ◽  
Matrix Multiplication ◽  
Grid System ◽  
Globus Toolkit ◽  
Performance Computing ◽  
Computing Infrastructure

In this research, we build a grid computing infrastructure by utilizing existing cluster in Telkom University as back-end resources. We used middleware Globus Toolkit 6.0 and Condor 8.4.2 in developing the grid system. We tested the performance of our grid system using parallel matrix multiplication. The result showed that our grid system has achieved good performance. With the implementation of this grid system, we believe that access to high performance computing resources will become easier and the Quality of Service will also be improved.

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 ESTIMATION OF THE WORKLOAD OF A HYBRID COMPUTING CLUSTER IN TASKS OF MODELING IN MATERIALS SCIENCE

2020 ◽  
Author(s):  
Konstantin Volovich
Keyword(s):  
High Performance Computing ◽  
High Performance ◽  
Materials Science ◽  
Cluster Performance ◽  
Computing Systems ◽  
Hybrid Computing ◽  
Methods Of Calculation ◽  
Roofline Model ◽  
Performance Computing

The article is devoted to methods of calculation and evaluation of the effectiveness of the functioning of hybrid computing systems. The article proposes a method of calculating the value of the workload using peak values of the cluster performance. The results and the quality of the functioning of cloud scientific services of high-performance computing using the roofline model are analyzed.

scholarly journals Circuitscape in Julia: Empowering Dynamic Approaches to Connectivity Assessment

Land ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 301
Author(s):  
Kimberly R. Hall ◽  
Ranjan Anantharaman ◽  
Vincent A. Landau ◽  
Melissa Clark ◽  
Brett G. Dickson ◽  
...  
Keyword(s):  
High Performance Computing ◽  
Spatial Data ◽  
High Performance ◽  
Landscape Connectivity ◽  
Analysis Tool ◽  
Software Applications ◽  
Land Use Decisions ◽  
Computer Scientists ◽  
Performance Computing

The conservation field is experiencing a rapid increase in the amount, variety, and quality of spatial data that can help us understand species movement and landscape connectivity patterns. As interest grows in more dynamic representations of movement potential, modelers are often limited by the capacity of their analytic tools to handle these datasets. Technology developments in software and high-performance computing are rapidly emerging in many fields, but uptake within conservation may lag, as our tools or our choice of computing language can constrain our ability to keep pace. We recently updated Circuitscape, a widely used connectivity analysis tool developed by Brad McRae and Viral Shah, by implementing it in Julia, a high-performance computing language. In this initial re-code (Circuitscape 5.0) and later updates, we improved computational efficiency and parallelism, achieving major speed improvements, and enabling assessments across larger extents or with higher resolution data. Here, we reflect on the benefits to conservation of strengthening collaborations with computer scientists, and extract examples from a collection of 572 Circuitscape applications to illustrate how through a decade of repeated investment in the software, applications have been many, varied, and increasingly dynamic. Beyond empowering continued innovations in dynamic connectivity, we expect that faster run times will play an important role in facilitating co-production of connectivity assessments with stakeholders, increasing the likelihood that connectivity science will be incorporated in land use decisions.

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