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Data Interpretation and Transmission Techniques for High Performance Computing Machines

by Waleed Abrar, H. Nabeel Ijaz, M. Asad Kayani
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 57 - Number 1
Year of Publication: 2012
Authors: Waleed Abrar, H. Nabeel Ijaz, M. Asad Kayani
10.5120/9079-2402

Waleed Abrar, H. Nabeel Ijaz, M. Asad Kayani . Data Interpretation and Transmission Techniques for High Performance Computing Machines. International Journal of Computer Applications. 57, 1 ( November 2012), 31-38. DOI=10.5120/9079-2402

@article{ 10.5120/9079-2402,
author = { Waleed Abrar, H. Nabeel Ijaz, M. Asad Kayani },
title = { Data Interpretation and Transmission Techniques for High Performance Computing Machines },
journal = { International Journal of Computer Applications },
issue_date = { November 2012 },
volume = { 57 },
number = { 1 },
month = { November },
year = { 2012 },
issn = { 0975-8887 },
pages = { 31-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume57/number1/9079-2402/ },
doi = { 10.5120/9079-2402 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:59:20.710722+05:30
%A Waleed Abrar
%A H. Nabeel Ijaz
%A M. Asad Kayani
%T Data Interpretation and Transmission Techniques for High Performance Computing Machines
%J International Journal of Computer Applications
%@ 0975-8887
%V 57
%N 1
%P 31-38
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Now a day's efficient and fast interpretation and transmission techniques are becoming more and more vital for the machine designers to take optimum result from limited resources. The quality for interpretation of the instructions and transmissions are becoming the back bone for the success of any modern computing machines. The interpretation of instructions is not limited to an individual machine but network of different machines quick interpretation of any instruction not only boosts up the net speed of the system but also add attractive market value to the proposed system. Slow interpretation of the instructions and transmission, degrades the whole system value and eventually the system ends up either with low business advantages or a complete failure, so better algorithms for the interpretation and optimum usage of resources while transmission act as the heart and soul of the system. This research paper tends to through light on some modern interpretation and transmission techniques, the factors which directly affect or being effected by them, the degree of flexibility to which they are optimized, some small scenarios for better understanding of the situation, the constraints of the real world which will in turn affect them. Our paper also explains flaws in existing systems and proposed solution for that particular problem.

References
  1. Stefania Gallova, "Contribution to Incomplete and Noisy Information Problem Solving By Artificial Intelligence Principles Applying", Published in Proceedings of the World Congress on Engineering Volume I, 2010, June 30-July 2, 2010, London, UK. ISBN: 978-988-17012-9-9. ISSN: 2078-0958 PP 21-28.
  2. Nada M. A. AL Salami, "Genetic System Generation", Published in World Congress on Engineering and Computer Science (WCECS). Volume I, October 20-22, 2009, San Francisco USA. ISSN: 978-988-17012-6-8, PP: 23-27.
  3. L. Rodrigues, M. Raynal, "Atomic Broadcast in Asynchronous Crash-Recovery Distribution System", Proceedings of the 20th International Conference on Distributed Computing Systems (ICDCS 2000), P: 288, April 10-13, 2000.
  4. Downey, "THE LITTLE BOOK OF SEMAPHORES". www. greenteapress. com/semaphores.
  5. Tiago Goncalves, A. Espirito-Santo, B. J. F. Riberio, P. D. Gaspar, "Design of a Learning Environment for Embedded Systems", Published in Proceedings of the World Congress on Engineering Volume I, 2010, June 30-July 2, 2010, London, UK. ISBN: 978-988-17012-9-9. ISSN: 2078-0958 PP 172-177.
  6. Xinirui. Wang, Tien-Fu. Lu, Lei. Chen, "Synchronization and Time Resolution Improvement for 802. 11 WLAN OWPT Measurement", Published in International MultiConference of Engineers and Computer Scientists. Volume I, March 18-20, 2009, Hong Kong. ISBN: 978-988-17012-2-0 PP: 378-383.
  7. Sundararaman, B. , Buy, U. , Kshemkalyani, A. D. , "Clock Synchronization for Wireless Sensors Net-works : a Survey," Ad Hoc Networks, V3 , PP:281-323,2005
Index Terms

Computer Science
Information Sciences

Keywords

Semaphore Transmission channels Race condition Affinity Mutual Exclusion