FGCS
2010
13 years 9 months ago
2010
Bulk Synchronous Parallel ML is a high-level language for programming parallel algorithms. Built upon OCaml and using the BSP model, it provides a safe setting for their implementa...
TSMC
1998
13 years 10 months ago
1998
— Parallel algorithms are presented for modules of learning automata with the objective of improving their speed of convergence without compromising accuracy. A general procedure...
TOCL
2008
13 years 10 months ago
2008
State Machines Capture Parallel Algorithms: Correction and Extension ANDREAS BLASS University of Michigan and YURI GUREVICH Microsoft Research We consider parallel algorithms worki...
INFORMATICALT
2006
13 years 11 months ago
2006
Three parallel algorithms for solving the 3D problem with nonlocal boundary condition are considered. The forward and backward Euler finite-difference schemes, and LOD scheme are t...
ECAI
2010
Springer
14 years 1 hour ago
2010
Springer
Abstract. We investigate the problem of the verification of multiagent systems by means of parallel algorithms. We present algorithms for CTLK, a logic combining branching time tem...
DAGSTUHL
2007
14 years 10 days ago
2007
Abstract. Two ways to exploit chips with a very large number of transistors are multicore processors and programmable logic chips. Some data parallel algorithms can be executed eï¬...
SPAA
1995
ACM
14 years 2 months ago
1995
ACM
For years, the computation rate of processors has been much faster than the access rate of memory banks, and this divergence in speeds has been constantly increasing in recent yea...
EUROPAR
2006
Springer
14 years 2 months ago
2006
Springer
We discuss a parallel algorithm for the solution of large-scale generalized algebraic Riccati equations with dimension up to O(105 ). We survey the numerical algorithms underlying ...
EUROPAR
2004
Springer
14 years 2 months ago
2004
Springer
Hierarchical agglomerative clustering (HAC) is a common clustering method that outputs a dendrogram showing all N levels of agglomerations where N is the number of objects in the d...
ENC
2004
IEEE
14 years 2 months ago
2004
IEEE
Discovering patterns or frequent episodes in transactions is an important problem in data-mining for the purpose of infering deductive rules from them. Because of the huge size of...