DocumentCode :
2446241
Title :
Hashing strategies for the Cray XMT
Author :
Goodman, Eric L. ; Haglin, David J. ; Scherrer, Chad ; Chavarria-Miranda, D. ; Mogill, Jace ; Feo, John
Author_Institution :
Sandia Nat. Labs., Albuquerque, NM, USA
fYear :
2010
fDate :
19-23 April 2010
Firstpage :
1
Lastpage :
8
Abstract :
Two of the most commonly used hashing strategies-linear probing and hashing with chaining-are adapted for efficient execution on a Cray XMT. These strategies are designed to minimize memory contention. Datasets that follow a power law distribution cause significant performance challenges to shared memory parallel hashing implementations. Experimental results show good scalability up to 128 processors on two power law datasets with different data types: integer and string. These implementations can be used in a wide range of applications.
Keywords :
Cray computers; data structures; parallel databases; program processors; shared memory systems; 128 processors; cray XMT; hashing strategies; hashing with chaining; integer data types; linear probing; memory contention; power law datasets; power law distribution; scalability; shared memory parallel hashing; string data types; Concurrent computing; Cost function; Data structures; Dictionaries; Frequency; Laboratories; Magnetic heads; Parallel machines; Peer to peer computing; Scalability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW), 2010 IEEE International Symposium on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4244-6533-0
Type :
conf
DOI :
10.1109/IPDPSW.2010.5470688
Filename :
5470688
Link To Document :
بازگشت