Parallel Processing White Papers
Lossy Bulk Synchronous Parallel Processing Model for Very Large Scale Grids
Overview The performance of a parallel algorithm in a very large scale grid is significantly influenced by the underlying Internet protocols and inter-connectivity. Many grid programming platforms use TCP due to its reliability, usually with some optimizations to reduce its costs. However, TCP does not perform well in a high bandwidth and high delay network environment. On the other hand, UDP is the fastest protocol available because it omits connection setup process, acknowledgments and retransmissions sacrificing reliable transfer. Many new bulk data transfer schemes using UDP for data transmission such as RBUDP, Tsunami, and SABUL have been introduced and shown to have better performance compared to TCP.
| Publisher | University of Melbourne | File Format | |
|---|---|---|---|
| Date Published | December 2006 | Downloads | 1 |
| Format | White Papers | ||
| Topics | |||
-
Did you find this white paper useful? 1 out of 2 users found this white paper useful
White Paper RSSDistributed and Parallel Database Systems
DownloadThe maturation of Database Management System (DBMS) technology has coincided with significant developments in distributed computing and parallel processing technologies. The end result is the emergence of distributed database management...
Cheap and Easy Parallelism for Matlab on Linux Clusters
Matlab is the most popular platform for rapid prototyping and development of scientific and engineering applications. A typical university computing lab will have Matlab installed on a set of networked...
PowerPC G5
The PowerPC G5 is the product of a long-standing partnership between Apple and IBM. They co-created a PowerPC architecture that could support both 32-bit and 64-bit instructions. Now available in...
Efficiency of Distributed Parallel Processing Using Java RMI, Sockets, and CORBA
Software development is proceeding at a remarkable rate. Many new tools are available to the researcher in parallel and distributed processing. These tools include PVM, MPI, and Java. But, recently,...
Implement Parallel Processing in Your Java Applications
Computing is moving toward multi-core systems which allows the containing computer to exhibit the same thread-level parallelism as a system with multiple CPUs, which represents a huge benefit in overall...
