Lecture Notes in Computer Science

Multiprocessor arrays: Topology, efficiency and fault-tolerance.- Unsolved theoretical problems in homogeneous structures.- On simultaneous realizations of boolean functions, with applications.- Parallel microprogramming as a tool for multi-microprocessor systems.- A survey of parallel computational geometry algorithms.- Parallel memories for straight line and rectangle access.- Programming with active data.- Prolog implementations for cellular architectures.- Modular highly-parallel computation and architectures.- Parallel computation and supercomputers and applications.- Fast parallel algorithms and the complexity of parallelism (basic issues and recent advances).- Process-structured architectures to transform information flowing through.- Basic research for cellular processing.- Parallel algorithms in image processing.- VLSI arrays implementing parallel line-drawing algorithms.- Parallel conflict-free optimal access to complete extended q-ary trees.- Systolic preconditioning algorithms for the jacobi iterative solution of sparse linear systems.- Multiprocessor systems for large numerical applications.- Systolic array for eigenvalue of jacobi matrix.- A transitive closure algorithm for a 16-state cellprocessor.- Control of sensory processing - A hypothesis on and simulation of the architecture of an elementary cortical processor.- Bounds for l-selection and related problems on grids of processors.- Recursive design of communication schemes for parallel computation with relacs.- Solution of dense systems of linear equations using cellular processors.- Running order statistics on a bit-level systolic array.- Realization of sets of permutations by permutation networks.- Simulation of learning networks.- Given's rotation on an instruction systolic array.- Worst case analysis for reducing algorithms on instruction systolic arrays with simple instruction sets.- Self-checking processing elements in cellular arrays.- Cellular diagnostic in parallel systems.- Reliable networks for boolean functions with small complexity.- Pipeline-automata - A model for acyclic systolic systems.