Access the full text.
Sign up today, get DeepDyve free for 14 days.
References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.
It is important to understand and efficiently predict the performance of large codes executing on massively parallel machines. However, these very large machines are scarce, expensive, and generally unavailable to large segments of the research community. It is therefore important to implement performance analysis tools for such machines on platforms that are readily available to the research community at large. To meet this need, we have ported LAPSE, a parallel direct-execution simulator, from the Intel Paragon to an ordinary cluster of workstations. The goal of this research is to provide researchers the opportunity to study codes designed for execution on a massively parallel machine while physically executing on a workstation cluster. However, we encountered significant performance problems when moving to a workstation cluster, due primarily to high communication and context switching costs. To reduce these costs, we implemented the virtual processors of the simulated system using light-weight threads rather than heavy-weight Unix processes. In this paper, we discuss the issues involved in moving from a process-based to a thread-based simulator, and demonstrate up to a four fold increase in performance by doing so.
ACM SIGSIM Simulation Digest – Association for Computing Machinery
Published: Jul 1, 1997
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.