Document Type
Article
Date
1995
Keywords
High Performance Computing and Communication, HPCC, high speed network, Multithread Message Passing, Parallel/Distributed processing, NYNET Communication System, NCS, Application Programmer Interface, API
Language
English
Disciplines
Computer Sciences
Description/Abstract
Large scale High Performance Computing and Communication (HPCC) applications (e.g. Video-on-Demand, and HPDC) would require storage and processing capabilities which are beyond existing single computer systems. The current advances in networking technology (e.g. ATM) have made high performance network computing an attractive computing environment for such applications. However, using only high speed network is not sufficient to achieve high performance distributed computing environment unless some hardware and software problems have been resolved. These problems include the limited communication bandwidth available to the application, high overhead associated with context switching, redundant data copying during protocol processing and lack of support to overlap computation and communication at application level. In this paper, we propose a Multithreaded Message Passing system for Parallel/Distributed processing, that we refer to as NYNET Communication System (NCS). NCS, being developed for NYNET (ATM wide area network testbed), is built on top of an ATM Application Programmer Interface (API). The Multithread environment allows applications to overlap computations and communications and provide a modular approach to support efficiently HPDC applications with different quality of service (QoS) requirements.
Recommended Citation
Yadav, Rajesh; Reddy, Rajashekar; Hariri, Salim; and Fox, Geoffrey C., "A Multithreaded Message Passing Environment for ATM LAN/WAN" (1995). Northeast Parallel Architecture Center. 51.
https://surface.syr.edu/npac/51
Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.
Additional Information
In Proceedings of the 4th International Symposium on High Performance Distributed Computing