http://tesla.hpl.hp.com/caecw03/
Anaheim, California
February 9, 2003
Immediately precedes the
Ninth
International Symposium on High Performance Computer Architecture
Sponsored
by the IEEE
Computer Society
The sixth Workshop on Computer Architecture Evaluation using Commercial Workloads will bring together researchers and practitioners from industry and academia to discuss cutting edge research that utilizes commercial workloads for the evaluation of computer architectures. By discussing this ongoing research, the workshop will expose participants to the characteristics of commercial workload behavior and provide an understanding of how commercial workloads exercise computer systems.
The tentative final program for the workshop is listed below. There will be plenty of time for audience participation. A proceedings document containing either full papers or extended abstracts for each presentation will be provided for registered attendees at the workshop. Individual papers are available below. To download the entire proceedings, click here.
Tentative Final Program
Registration
An Evaluation of Memory Compression for Web Server Workloads
Krishna Kant
Intel Corporation
Evaluating Availability of Networked Storage Using Commercial Workloads
Ming Zhang and Qing Yang
University of Rhode Island
MPEG Decoding Workload Characterization
Matthew Holliman and Yen-Kuang Chen
Intel Corporation
Break
Session
2: Techniques and Tools
Nathan L. Binkert, Erik G. Hallnor and Steven K. Reinhardt
University of Michigan
Loop Level Analysis of Security and Network Applications
Dinesh Suresh, Satya Mohanty, Walid Najjar, Laxmi Bhuyan and Frank Vahid
University of California at Riverside
Analyzing Performance Characteristics of OLTP Cached Workloads by Linear Interpolation
Trung Diep, Murali Annavaram, Brian Hirano and John P. Shen
Intel Corporation and Oracle Corporation
Participant Feedback and Concluding Remarks
Organized by:
- Kimberly Keeton, Hewlett-Packard Laboratories, kkeeton@hpl.hp.com
- Russell Clapp, Fabric7 Systems, Inc., rmcl@acm.org
-
Ashwini Nanda, IBM TJ Watson Research Center, ashwini@watson.ibm.com