Automated Cache Performance Analysis and Optimization in Open|SpeedShop

Award Information
Agency: Department of Energy
Branch: N/A
Contract: DE-FG02-13ER86544
Agency Tracking Number: 83445
Amount: $149,927.00
Phase: Phase I
Program: STTR
Awards Year: 2013
Solicitation Year: 2013
Solicitation Topic Code: 02b
Solicitation Number: DE-FOA-0000760
Small Business Information
999 Windcroft Pl, Annapolis, MD, 21401-6578
DUNS: 964379965
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Kathryn Mohror
 (925) 423-2997
Business Contact
 Tom Brennan
Title: Mr.
Phone: (515) 598-2722
Research Institution
 Lawrence Livermore Nat. Sec.
 7000 East Ave.
Livermore, CA, 94550-
 () -
 Federally funded R&D center (FFRDC)
While there is no lack of performance counter tools for coarse-grained measurement of cache activity, there is a critical lack of tools for relating data layout to cache behavior to application performance. Generally, any nontrivial optimizations are either not done at all, or are done by hand requiring significant time and expertise. To the best of our knowledge no tool available to users measures the latency of memory reference instructions for particular addresses and makes this information available to users in an easy-to-use and intuitive way. Such a tool would be beneficial to both the DOE and the general public, as it would reduce the needed optimization time and decrease time to solution. In Phase I, we will enable Open|SpeedShop to gather memory reference latency information for specific in- structions and memory addresses, and to gather and display this information in an easy-to- use and intuitive way to aid performance analysts in identifying problematic data structures in their codes. Commercial Applications and Other Benefits: This tool will be primarily designed for use in the supercomputer domain as well as grid, cluster, cloud-based parallel e-commerce, and engineering systems and middleware. The result of this work will be a tool of broad international use across several scientific, commercial, and cloud computing communities.

* Information listed above is at the time of submission. *

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