This paper presents a new approach for analyzing the performance of grid scheduling algorithms for tasks with dependencies. Finding the optimal procedures for DAG scheduling in Gr...
Exponentially growing bandwidth requirements and slowing gains in processor speeds have led to the popularity of multiprocessor architectures. Network stack parallelism is increas...
This paper deals with low-energy code generation for a highly optimized digital signal processor designed for mobile communication applications. We present a genetic algorithm bas...
Markus Lorenz, Rainer Leupers, Peter Marwedel, Tho...
One of the major factors that can potentially slow down widespread use of embedded chip multiprocessors is lack of efficient software support. In particular, automated code paral...
Liping Xue, Mahmut T. Kandemir, Guangyu Chen, Tayl...
Self-Modifying Cartesian Genetic Programming (SMCGP) is a form of genetic programming that integrates developmental (self-modifying) features as a genotype-phenotype mapping. This...
Simon Harding, Julian Francis Miller, Wolfgang Ban...