3 No2 March 2012 DOI 105121ijdps20123202 13 Rajab M Legnain Roshdy HM Hafez and Abdelgader M Legnain 2 Department of Systems and Computer Eng Carleton U niversity Ottawa Canada rlegnain hafezscecarletonca Department of Electrical and Electronics Eng ID: 30333 Download Pdf
2 No4 July 2011 DOI 105121ijdps20112414 162 C R Tripathy and N Adhikari Professor Department of CSE VSS University of Tec hnology Burla Orissa India write2nagmailcom Asst Professor Department of CSE PIET Rourkela Orissa India headcsepietgmailcom BST
Vol.4, No.3, May 2013 DOI : 10.5121/ijdps.2013.4306 73 A N I NTRODUCTION T O W IRELESS M OBILE S OCI AL N ETWORKING I N O PPORTUNISTIC C OMMUNICATION Navdeep Kaur Department of Electronics Techn
International Journal of Distributed and Parallel Systems (IJDPS) Vol.3, No.6, November 2012 140 Type A: in a particular area, many motes within range of one another attempt to transmit simultaneously
International Journal of Distributed and Parallel Systems (IJDPS) Vol.3, No.6, November 2012 150 are done by using least number of tables else excessive UNION queries are used to merge the tables sens
International Journal of Distributed and Parallel Systems (IJDPS) Vol.3, No.3, May 2012 134 Modern distance education initially relied on the development of postal services in the 19th century and has
[9]. Practically, when a program is executed in parallel, the hypothesis that the parallel program will run faster is not always satisfied. If the main goal of parallelizing a serial program is to ob
3 No3 May 2012 DOI 105121ijdps20123324 287 VRamya B Palaniappan 2 Assistant Professor Department of CSE Annamalai U niversity Chidambaram India Emailramyshriyahoocom Dean FEAT Head Department of CSE Annamalai Univ ersity Chidambaram India Emailbpau
Early Adopter: ASU - Intel Collaboration in Parallel and Distributed Computing Yinong Chen , Eric Kostelich , Yann -Hang Lee, Alex Mahalov , Gil Speyer, and Violet R. Syrotiuk 1 st NSF /TCPP Workshop on Parallel and Distributed Computing Education (
Improving Computer Performance. What performance translates into:. Time taken to do computation. Improving performance . → reducing time taken. What key benefits improving performance can bring:. Can solve “now-computationally-attainable” problems in .
Andrew Lumsdaine. Indiana University. lums@osl.iu.edu. My Goal in Life. Performance with elegance. Introduction. Overview of our high-performance, industrial strength, graph library. Comprehensive features.
