Constraint graph analysis of multithreaded programs
Harold W. Cain, Mikko H. Lipasti, et al.
Journal of Instruction-Level Parallelism
Stream processing is an important emerging computational model for performing complex operations on and across multi-source, high-volume, unpredictable dataflows. We present Flow, a platform for parallel and distributed stream processing system simulation that provides a flexible modeling environment for analyzing stream processing applications. The Flow stream processing system simulator is a high-performance, scalable simulator that automatically parallelizes chunks of the model space and incurs near-zero synchronization overhead for acyclic stream application graphs. We show promising parallel and distributed event rates exceeding 149 million events per second on a cluster with 512 processor cores. © 2011, The Author(s),. All rights reserved.
Harold W. Cain, Mikko H. Lipasti, et al.
Journal of Instruction-Level Parallelism
Ravi Nair
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Deepak Ajwani, Shoukat Ali, et al.
Journal of Parallel and Distributed Computing
Se June Hong, Ravi Nair
Proceedings of the IEEE