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EH
1999
IEEE
351views Hardware» more  EH 1999»
15 years 6 months ago
Evolvable Hardware or Learning Hardware? Induction of State Machines from Temporal Logic Constraints
Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
Marek A. Perkowski, Alan Mishchenko, Anatoli N. Ch...
127
Voted
IPPS
1999
IEEE
15 years 6 months ago
A Structured Approach to Parallel Programming: Methodology and Models
Parallel programming continues to be difficult, despite substantial and ongoing research aimed at making it tractable. Especially dismaying is the gulf between theory and the pract...
Berna L. Massingill
GECCO
2005
Springer
139views Optimization» more  GECCO 2005»
15 years 8 months ago
Solving large scale combinatorial optimization using PMA-SLS
Memetic algorithms have become to gain increasingly important for solving large scale combinatorial optimization problems. Typically, the extent of the application of local search...
Jing Tang, Meng-Hiot Lim, Yew-Soon Ong, Meng Joo E...
PPOPP
2010
ACM
15 years 11 months ago
Continuous speculative program parallelization in software
This paper addresses the problem of extracting coarse-grained parallelism from large sequential code. It builds on BOP, a system for software speculative parallelization. BOP lets...
Chao Zhang, Chen Ding, Xiaoming Gu, Kirk Kelsey, T...
131
Voted
ICDCS
2003
IEEE
15 years 7 months ago
Software Fault Tolerance of Distributed Programs Using Computation Slicing
Writing correct distributed programs is hard. In spite of extensive testing and debugging, software faults persist even in commercial grade software. Many distributed systems, esp...
Neeraj Mittal, Vijay K. Garg