scholarly journals Compute and storage clouds using wide area high performance networks

2009 ◽  
Vol 25 (2) ◽  
pp. 179-183 ◽  
Author(s):  
Robert L. Grossman ◽  
Yunhong Gu ◽  
Michael Sabala ◽  
Wanzhi Zhang
Author(s):  
Chunli Liu ◽  
Yang Bai ◽  
Ji Wang ◽  
Ziming Qiu ◽  
Huan Pang

Two-dimensional (2D) materials with structures having diverse features are promising for application in energy conversion and storage. A stronger layered orientation can guarantee fast charge transfer along the 2D planes...


2014 ◽  
Vol 543-547 ◽  
pp. 2418-2421
Author(s):  
Yong Wang

In this paper we introduce cross tree and block mathematical principles into the design of database system, divide the time sequence and storage space of computer database system, establish the mathematical model and algorithm of computer resources database system, and design the test database system. In this paper, we use high performance interface of Display Port, by way of coupling to communicate on two port control, and use RHEL 6.2 Linux virtual machine to do simulation experiment on process of database system. Through the simulation we find the API which is called by Read, Close, Mmap, Stat, Fstat is similar. It is consistent with the actual situation, and verifies the reliability of the program. Finally, we apply the database system to the network database construction of sports literature resources in the new town of Poyang Lake area. It reaches the effect that sport resources are shared by all. It provides technical support for the application of computer database system.


F1000Research ◽  
2017 ◽  
Vol 6 ◽  
pp. 2060
Author(s):  
Aleksandr Agafonov ◽  
Kimmo Mattila ◽  
Cuong Duong Tuan ◽  
Lars Tiede ◽  
Inge Alexander Raknes ◽  
...  

META-pipe is a complete service for the analysis of marine metagenomic data. It provides assembly of high-throughput sequence data, functional annotation of predicted genes, and taxonomic profiling. The functional annotation is computationally demanding and is therefore currently run on a high-performance computing cluster in Norway. However, additional compute resources are necessary to open the service to all ELIXIR users. We describe our approach for setting up and executing the functional analysis of META-pipe on additional academic and commercial clouds. Our goal is to provide a powerful analysis service that is easy to use and to maintain. Our design therefore uses a distributed architecture where we combine central servers with multiple distributed backends that execute the computationally intensive jobs. We believe our experiences developing and operating META-pipe provides a useful model for others that plan to provide a portal based data analysis service in ELIXIR and other organizations with geographically distributed compute and storage resources.


Author(s):  
Ewa Niewiadomska-Szynkiewicz ◽  
Michał P. Karpowicz

Progress in life, physical sciences and technology depends on efficient data-mining and modern computing technologies. The rapid growth of data-intensive domains requires a continuous development of new solutions for network infrastructure, servers and storage in order to address Big Datarelated problems. Development of software frameworks, include smart calculation, communication management, data decomposition and allocation algorithms is clearly one of the major technological challenges we are faced with. Reduction in energy consumption is another challenge arising in connection with the development of efficient HPC infrastructures. This paper addresses the vital problem of energy-efficient high performance distributed and parallel computing. An overview of recent technologies for Big Data processing is presented. The attention is focused on the most popular middleware and software platforms. Various energy-saving approaches are presented and discussed as well.


2018 ◽  
Vol 11 (22) ◽  
pp. 63
Author(s):  
Fabio A. Suarez- Bustamante ◽  
Orlando D. Barrios-Revollo ◽  
Anderson Valencia ◽  
Juan P. Hernandez-Ortiz

A platform to design composite materials of a polymeric matrix, that are specifically for military applications on fluvial and naval navigation, has been developed using energy dissipation and storage mechanisms. Our composites are designed to generate synergy between the dissipation capacities of ceramics and high-performance fibers, which are used as the reinforced material in the lightweight laminates. The composite design is combined with processing tools and advanced characterization techniques that result in laminates with reliability, traceability and quality. The platform begins with the identification of energy dissipation mechanisms and the detailed characterization of the polymeric resin. It includes the Time – Temperature – Transformation Diagram (TTT- Diagram) that supplies the optimal processing conditions. Our designs open new paths for military applications including a wide spectrum of protective systems together with geometric versatility, high mechanical resistance and reliability


Author(s):  
John Evans

The chemical properties of the volatile elements in groups 15 to 18 are outlined, showing how the the periodicicty of the properties of the elements shapes their chemistry. The manufacture of hydrogen and chlorine is described, showing how mercury-free methods have been developed for the latter. The effect of the formation of atmospheric CO2 on atmospheric oxygen content is explained in terms of dissolution in the oceans. Remediation of the exhaust gases from internal combustion engines by catalysts to remove CO2, NOx and carbonaceous particulates is explained. Options for carbon capture and storage by physical and chemical processes are evaluated, and examples provided of these processes in operation. Exploitation of the atmosphere for energy capture using wind turbines has been aided by the development of high performance magnets. The basis of these magnets and the role of rare earth elements is explained.


Author(s):  
Vincent Breton ◽  
Eddy Caron ◽  
Frederic Desprez ◽  
Gael Le Mahec

As grids become more and more attractive for solving complex problems with high computational and storage requirements, bioinformatics starts to be ported on large scale platforms. The BLAST kernel, one of the main cornerstone of high performance genomics, was one the first application ported on such platform. However, if a simple parallelization was enough for the first proof of concept, its use in production platform needed more optimized algorithms. In this chapter, we review existing parallelization and “gridification” approaches as well as related issues such as data management and replication, and a case study using the DIET middleware over the Grid’5000 experimental platform.


1982 ◽  
Vol 92 (3) ◽  
pp. 433-442 ◽  
Author(s):  
R. E. COUPLAND ◽  
CHRISTINE KENT ◽  
S. E. KENT

An attempt has been made to determine the relative functional activities of adrenal and extra-adrenal chromaffin tissue during the neonatal phase and up to 1 week of age using young rabbits and guinea-pigs whose main extra-adrenal abdominal para-aortic chromaffin bodies are respectively non-innervated and innervated. Amine synthesis and storage were followed by assay and autoradiography after a single intraperitoneal injection of l-[2,5,6-3H]DOPA and the findings correlated with amine content as assessed by high performance liquid chromatography and by volume of tissue. The results indicate that in the guinea-pig, in spite of differences in proportions of adrenaline and noradrenaline in the adrenal gland and para-aortic body (PAB), the loss of labelled catecholamines from the innervated PAB closely follows that from the adrenal medulla, suggesting that both participate in normal sympathoadrenal activity. By comparison, in the rabbit the PAB shows only a minimal decrease in labelled amine during the first week of life during which period the amine content and concentration of the PAB doubles: the functional significance of this non-innervated extra-adrenal chromaffin tissue, which persists throughout life, has still to be determined.


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