A bridging model for parallel computation
Communications of the ACM
LogP: towards a realistic model of parallel computation
PPOPP '93 Proceedings of the fourth ACM SIGPLAN symposium on Principles and practice of parallel programming
A randomized parallel 3D convex hull algorithm for coarse grained multicomputers
Proceedings of the seventh annual ACM symposium on Parallel algorithms and architectures
Towards efficiency and portability: programming with the BSP model
Proceedings of the eighth annual ACM symposium on Parallel algorithms and architectures
Scalable 2D convex hull and triangulation algorithms for coarse grained multicomputers
Journal of Parallel and Distributed Computing
Repetitive perhaps, but certainly not boring
Theoretical Computer Science
Fully scalable fault-tolerant simulations for BSP and CGM
Journal of Parallel and Distributed Computing
Coarse Grained Parallel Maximum Matching In Convex Bipartite Graphs
IPPS '99/SPDP '99 Proceedings of the 13th International Symposium on Parallel Processing and the 10th Symposium on Parallel and Distributed Processing
A Coarse-Grained multicomputer algorithm for the detection of repetitions
Information Processing Letters
A Coarse-Grained Multicomputer algorithm for the detection of repetitions
Information Processing Letters
Accelerating the requirement space exploration through coarse-grained parallel execution
NPC'11 Proceedings of the 8th IFIP international conference on Network and parallel computing
A CGM algorithm solving the longest increasing subsequence problem
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part V
Efficient longest common subsequence computation using bulk-synchronous parallelism
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part V
Hi-index | 0.00 |
The paper presents a Coarse-Grained Multicomputer algorithm that solves the problem of finding the longest repeated suffix ending at each point in a word. This algorithm can be implemented in the CGM with p processors in O(N2/P) in time and O(P) communication steps. It is the first CGM algorithm for this problem. We present also experimental results showing that the CGM algorithm is very efficient.