By Topic

DAG-consistent distributed shared memory

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Blumofe, R.D. ; Lab. for Comput. Sci., MIT, Cambridge, MA, USA ; Frigo, M. ; Joerg, C.F. ; Leiserson, C.E.
more authors

Introduces DAG (directed acyclic graph) consistency, a relaxed consistency model for distributed shared memory which is suitable for multithreaded programming. We have implemented DAG consistency in software for the Cilk multithreaded runtime system running on a CM5 Connection Machine. Our implementation includes a DAG-consistent distributed cactus stack for storage allocation. We provide empirical evidence of the flexibility and efficiency of DAG consistency for applications that include blocked matrix multiplication, Strassen's (1969) matrix multiplication algorithm and a Barnes-Hut code. Although Cilk schedules the executions of these programs dynamically, their performances are competitive with statically scheduled implementations in the literature. We also prove that the number FP of page faults incurred by a user program running an P processors can be related to the number F1 of page faults running serially by the formula FP⩽F1+2Cs, where C is the cache size and s is the number of thread migrations executed by Cilk's scheduler

Published in:

Parallel Processing Symposium, 1996., Proceedings of IPPS '96, The 10th International

Date of Conference:

15-19 Apr 1996