File-Access Characteristics of Parallel Scientific Workloads
[nieuwejaar:workload]Nils Nieuwejaar, David Kotz, Apratim Purakayastha, Carla Schlatter Ellis, and Michael Best. File-Access Characteristics of Parallel Scientific Workloads. IEEE Transactions on Parallel and Distributed Systems, volume 7, number 10, pages 1075–1089. IEEE, October 1996. doi:10.1109/71.539739. ©Copyright IEEE. Revision of nieuwejaar:workload-tr.
Phenomenal improvements in the computational performance of multiprocessors have not been matched by comparable gains in I/O system performance. This imbalance has resulted in I/O becoming a significant bottleneck for many scientific applications. One key to overcoming this bottleneck is improving the performance of multiprocessor file systems.
The design of a high-performance multiprocessor file system requires a comprehensive understanding of the expected workload. Unfortunately, until recently, no general workload studies of multiprocessor file systems have been conducted. The goal of the CHARISMA project was to remedy this problem by characterizing the behavior of several production workloads, on different machines, at the level of individual reads and writes. The first set of results from the CHARISMA project describe the workloads observed on an Intel iPSC/860 and a Thinking Machines CM-5. This paper is intended to compare and contrast these two workloads for an understanding of their essential similarities and differences, isolating common trends and platform-dependent variances. Using this comparison, we are able to gain more insight into the general principles that should guide multiprocessor file-system design.
Citable with [BibTeX]
Available from the publisher: [DOI]
Available from the author:
The publisher does not allow us to post a pdf copy; contact me if you are unable to obtain a copy from the publisher.