Broadband multimedia applications using ATM networks: high-performance computing, high-capacity storage, and high-speed communication

1992 ◽  
Vol 10 (9) ◽  
pp. 1382-1396 ◽  
Author(s):  
H. Armbruster ◽  
K. Wimmer
Keyword(s):  
High Performance Computing ◽  
High Speed ◽  
High Performance ◽  
High Capacity ◽  
Multimedia Applications ◽  
Atm Networks ◽  
Performance Computing

On Construction of Cluster and Grid Computing Platforms for Parallel Bioinformatics Applications

2012 ◽  
pp. 841-861
Author(s):  
Chao-Tung Yang ◽  
Wen-Chung Shih
Keyword(s):  
Grid Computing ◽  
High Performance Computing ◽  
High Speed ◽  
High Performance ◽  
Cluster Computing ◽  
Structural Features ◽  
Performance Technology ◽  
Data Intensive ◽  
Computing Platforms ◽  
Performance Computing

Biology databases are diverse and massive. As a result, researchers must compare each sequence with vast numbers of other sequences. Comparison, whether of structural features or protein sequences, is vital in bioinformatics. These activities require high-speed, high-performance computing power to search through and analyze large amounts of data and industrial-strength databases to perform a range of data-intensive computing functions. Grid computing and Cluster computing meet these requirements. Biological data exist in various web services that help biologists search for and extract useful information. The data formats produced are heterogeneous and powerful tools are needed to handle the complex and difficult task of integrating the data. This paper presents a review of the technologies and an approach to solve this problem using cluster and grid computing technologies. The authors implement an experimental distributed computing application for bioinformatics, consisting of basic high-performance computing environments (Grid and PC Cluster systems), multiple interfaces at user portals that provide useful graphical interfaces to enable biologists to benefit directly from the use of high-performance technology, and a translation tool for converting biology data into XML format.

On Construction of Cluster and Grid Computing Platforms for Parallel Bioinformatics Applications

2011 ◽  
Vol 3 (1) ◽  
pp. 69-88
Author(s):  
Chao-Tung Yang ◽  
Wen-Chung Shih
Keyword(s):  
Grid Computing ◽  
High Performance Computing ◽  
High Speed ◽  
High Performance ◽  
Cluster Computing ◽  
Structural Features ◽  
Biological Data ◽  
Performance Technology ◽  
Computing Platforms ◽  
Performance Computing

Biology databases are diverse and massive. As a result, researchers must compare each sequence with vast numbers of other sequences. Comparison, whether of structural features or protein sequences, is vital in bioinformatics. These activities require high-speed, high-performance computing power to search through and analyze large amounts of data and industrial-strength databases to perform a range of data-intensive computing functions. Grid computing and Cluster computing meet these requirements. Biological data exist in various web services that help biologists search for and extract useful information. The data formats produced are heterogeneous and powerful tools are needed to handle the complex and difficult task of integrating the data. This paper presents a review of the technologies and an approach to solve this problem using cluster and grid computing technologies. The authors implement an experimental distributed computing application for bioinformatics, consisting of basic high-performance computing environments (Grid and PC Cluster systems), multiple interfaces at user portals that provide useful graphical interfaces to enable biologists to benefit directly from the use of high-performance technology, and a translation tool for converting biology data into XML format.

scholarly journals Post-silicon verification of high-speed interconnections in Elbrus-8CB microprocessor

2019 ◽  
Vol 29 (3) ◽  
pp. 33-40
Author(s):  
A. E. Ometov ◽  
A. A. Vinogradov ◽  
A. S. Vorobiev
Keyword(s):  
High Performance Computing ◽  
High Speed ◽  
High Performance ◽  
Interprocessor Communication ◽  
Interference Immunity ◽  
Computing Systems ◽  
Physical Layers ◽  
Operating Modes ◽  
Testing Algorithm ◽  
Performance Computing

The article describes the experiments carried out during the post-silicone verification of Elbrus-8CB microprocessor – one of the important stages of the verification process, which mostly determines the possibility of creating high-performance computing systems consisting of several microprocessors of this series. The interprocessor communication channels of the Elbrus-8CB microprocessor were investigated and some hypotheses were put forward about the reasons for their low operating speed. Experiments conducted to validate these hypotheses are made with intermediate conclusions based on their results. The built-in testing mechanism of CEI-6G and PCIe 2.0 physical levels was described alongside with its operating modes and testing algorithm. Several studies were carried out to ensure the correctness of the testing mechanism. This led to modifications of the initial testing method. The final conclusions about the reasons for the incorrect operation of interprocessor communications were made, and recommendations were given to improve the high-speed communications signals attenuation parameters and the level of their interference immunity. The relevance of this study for the production of modern high-performance computing systems can be traced not only in the growing interest of designers to this problem, but also in tightening of the requirements of the physical layers manufacturers.

Sign in / Sign up

Export Citation Format

Share Document