This monograph presents examples of best practices when combining bioinspired algorithms with parallel architectures. The book includes recent work by leading researchers in the field and offers a map with the main paths already explored and new ways towards the future. Parallel Architectures and Bioinspired Algorithms will be of value to both specialists in Bioinspired Algorithms, Parallel and Distributed Computing, as well as computer science students trying to understand the present and the future of Parallel Architectures and Bioinspired Algorithms
This paper discusses the impact of structured parallel programming methodologies in state-of-the-art...
Recent years have witnessed the emergence of a huge number of parallel computer architectures. Almos...
This is a dissertation in three parts, in each we explore the development and analysis of a parallel...
This document surveys the computational strategies followed to parallelize the most used software in...
The main emphasis of the author's work has been directed towards achieving efficient parallel soluti...
Genetic algorithms are search or classification algorithms based on natural models. They present a h...
The evolution of parallel processing over the past several decades can be viewed as the development ...
Abstract — Nowadays, multicore processor and GPUs have entered the mainstream of microprocessor dev...
Supplementary data associated with this article can be found, in the online version, at http://dx.do...
Introduces the developments in the construction, analysis, and implementation of parallel computing ...
Two approaches to architecture-independent parallel computation are investigated: a constructive fun...
Parallel processing is becoming a dominant way in which very high performance is being achieved in m...
Parallel computers provide great amounts of computing power, but they do so at the cost of increased...
none6siBioScape is a concurrent language motivated by the biological landscapes found at the interfa...
Both the brain and modern digital architectures rely on massive parallelismfor efficient solutions t...
This paper discusses the impact of structured parallel programming methodologies in state-of-the-art...
Recent years have witnessed the emergence of a huge number of parallel computer architectures. Almos...
This is a dissertation in three parts, in each we explore the development and analysis of a parallel...
This document surveys the computational strategies followed to parallelize the most used software in...
The main emphasis of the author's work has been directed towards achieving efficient parallel soluti...
Genetic algorithms are search or classification algorithms based on natural models. They present a h...
The evolution of parallel processing over the past several decades can be viewed as the development ...
Abstract — Nowadays, multicore processor and GPUs have entered the mainstream of microprocessor dev...
Supplementary data associated with this article can be found, in the online version, at http://dx.do...
Introduces the developments in the construction, analysis, and implementation of parallel computing ...
Two approaches to architecture-independent parallel computation are investigated: a constructive fun...
Parallel processing is becoming a dominant way in which very high performance is being achieved in m...
Parallel computers provide great amounts of computing power, but they do so at the cost of increased...
none6siBioScape is a concurrent language motivated by the biological landscapes found at the interfa...
Both the brain and modern digital architectures rely on massive parallelismfor efficient solutions t...
This paper discusses the impact of structured parallel programming methodologies in state-of-the-art...
Recent years have witnessed the emergence of a huge number of parallel computer architectures. Almos...
This is a dissertation in three parts, in each we explore the development and analysis of a parallel...