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Concurrency and Computation: Practice and Experience

ISSN: 1532-0626eISSN: 1532-0634
SIGAPS Level C

Concurrency is seen in an increasing number of computing and communication systems. We have tens of millions of clients on the World Wide Web and many thousands of powerful nodes in high-end massively parallel machines (MPP). One can project continued rapid progress within ten years, Exaop performance from the Web and Petaflop capabilities in closely coupled parallel machines. This leads to a confusing rich choice of architectures with distributed memory PC clusters or Web-based computers and shared memory MPPs. These are enabled and coupled with corresponding boosts in wide-area network performance and deployment with a blurring and convergence of computing and communication. This hardware juggernaut is coupled to new languages and programming paradigms, such as Java and VRML for the Web and multithreading HPF and MPI for parallel systems. The combination of concurrent digital and optical technology is expected to create a Global Information Infrastructure (GII) that will enable new applications, and open up a new set of communication and computer software and architecture challenges. We need portable and scalable (portable to the future and to hybrid heterogeneous world-wide systems) solutions. This technology is being driven by and used in a wide range of academic, research, and commercial application areas. This use is producing a substantial amount of practical experience in those problems that are enabled or enhanced by this amazing infrastructure. There are also new computational methods, such as mobile agents, cellular automata and massively parallel neural networks, which are particularly suited to concurrent execution. There is a rapid growth in both scientific (grand challenges) and information (national challenge) applications that drive both the functionality and high performance of the base technologies. These will impact academia, business, the homes and education. New applications are also being opened up by advances in human-computer interfaces with full immersive environments becoming available, and tools to support those with disabilities broadening the reach of the computer and communication revolution. This journal will, therefore, focus on practical experience with the application of these converging trends to solve real problems. In particular, themes of our papers include:

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Connection Science

ISSN: 0954-0091eISSN: 1360-0494
DOAJ Logo
SIGAPS Level C

Connection Science is an interdisciplinary scientific and technical journal that has, since 1989, been a focus for research on connectionist modelling and neural network learning in both living and artificial systems with an emphasis on cognition and AI. Papers on these traditional themes are still strongly encouraged. However, in 2002, in response to exciting new work in evolutionary methods and adaptive robotics, its scope was broadened to include computational research on all biologically inspired adaptive mechanisms as well as all areas of biologically inspired robotics research. Papers submitted to the journal may be of a practical nature including, but not restricted to, new adaptive methods, novel implementations of existing methods as well as empirical work that has a strong modelling or theoretical component in psychology, biology, neuroscience or biologically inspired robotics. Submissions may also be theoretical or philosophical. Review papers are welcomed and authors are encouraged to consult with the Editor-in-Chief if they are considering a submission. Disclaimer Taylor & Francis makes every effort to ensure the accuracy of all the information (the 'Content') contained in its publications. However, Taylor & Francis and its agents and licensors make no representations or warranties whatsoever as to the accuracy, completeness or suitability for any purpose of the Content and disclaim all such representations and warranties whether express or implied to the maximum extent permitted by law. Any views expressed in this publication are the views of the authors and are not the views of Taylor & Francis.

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Discrete & Computational Geometry

ISSN: 0179-5376eISSN: 1432-0444
SIGAPS Level D

Discrete & Computational Geometry (DCG) is an international journal of mathematics and computer science, covering a broad range of topics in which geometry plays a fundamental role.

It publishes geometric papers on such topics as

- polytopes, spatial subdivision, packing, covering, and tiling, configurations and arrangements, and geometric graphs;

- geometric algorithms and their complexity, convex hulls, Voronoi diagrams, Delaunay triangulation, and range searching;

- solid modeling, computer graphics, image processing, pattern recognition, and motion planning;

- computational topology, discrete differential geometry, geometric probability, and real algebraic geometry.

The journal also accepts papers with a distinct geometric flavor in such areas as graph theory, mathematical programming, combinatorial optimization, algebraic geometry, geometry of numbers, crystallography, data analysis, machine learning, and robotics.The journal also encourages additional material such as short videos, an

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