Abstract
AbstractThe performance and proliferation of workstations continues to increase at a rapid rate. However, the practical utilization of workstation networks for parallel computing is still in its infancy. This is due to the relative immaturity of programming tools, low bandwidth networks such as Ethernet, and high message latencies. However, programming tools are becoming more mature and network bandwidths are increasing rapidly. Hence, networks of commodity workstations may prove to be practical for certain classes of parallel applications.This paper describes our experiences with two applications parallelized on a network of Sun workstations. The first application is from Shell's petroleum engineering department. This program quantitatively derives rock and porefill composition from well‐log data, using a compute‐intensive iterative optimization procedure. The second application is time filtering, which is a fundamental operation performed on seismic traces.Through our experiments we identify the limits of networked parallel computing based on the current state of network technology. We also provide a discussion on the possible impact of future high speed networks on networked parallel computing.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
