Workload optimization of proteomics pattern matching using embedded accelerator

Sagi Manole*, Amit Golander, Shlomo Weiss

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Digitalization has brought a tremendous momentum to the healthcare research. Recognition of patterns in one protein, which are similar to a functional site of another, is crucial for identifying possible functions of newly discovered proteins, as well as analysis of known proteins for previously undetermined activity. PROSITE is a comprehensive database which describes protein domains, families, functional sites and patterns to identify them. In this paper the workload is the task of locating patterns from the PROSITE database over proteins. We optimize the the workload by using IBM's new Power Edge of Network processor (PowerEN) regular expression (RegX) hardware accelerator, which was built for deep-packet inspection at multiple 10Gbps ports. Our preliminary results demonstrate a speedup of 240 relative to software pattern matching. Moreover, indications show that speedup an order of magnitude higher is achievable.

Original languageEnglish
Title of host publication2010 IEEE 26th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2010
Pages790-794
Number of pages5
DOIs
StatePublished - 2010
Event2010 IEEE 26th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2010 - Eilat, Israel
Duration: 17 Nov 201020 Nov 2010

Publication series

Name2010 IEEE 26th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2010

Conference

Conference2010 IEEE 26th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2010
Country/TerritoryIsrael
CityEilat
Period17/11/1020/11/10

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