Parallel Numerical Computing from Illiac IV to Exascale: The Contributions of Ahmed H. SamehK. Gallivan, E. Gallopoulos, A. Grama, B. Philippe, E. Polizzi, Y. Saad, F. Saied, and D. SorensenComputational Capacity-Based Co-design of Computer SystemsDavid J. KuckMeasuring Computer PerformanceWilliam Jalby, David C. Wong, David J. Kuck, Jean-Thomas Acquaviva, and Jean-Christophe BeylerA Compilation Framework for the Automatic Restructuring of Pointer-Linked Data StructuresHarmen L.A. van der Spek, C.W. Mattias Holm, and Harry A.G. WijshoffDense Linear Algebra on Accelerated Multicore HardwareJack Dongarra, Jakub Kurzak, Piotr Luszczek, and Stanimire TomovThe Explicit SPIKE Algorithm: Iterative Solution of the Reduced SystemCarl Christian Kjelgaard MikkelsenThe SPIKE Factorization as Domain Decomposition Method: Equivalent and Variant ApproachesVictor Eijkhout, and Robert van de GeijnParallel Solution of Sparse Linear SystemsMurat ManguogluParallel Block-Jacobi SVD MethodsMartin Becka, Gabriel OkSa, and Marián VajterSicRobust and Efficient Multifrontal Solver for Large Discretized PDEsJianlin XiaA Preconditioned Scheme for Nonsymmetric Saddle-Point ProblemsAbdelkader BaggagEffect of Ordering for Iterative Solvers in Structural Mechanics ProblemsSami A. KilicScaling Hypre's Multigrid Solvers to 100,000 CoresAllison H. Baker, Robert D. Falgout, Tzanio V. Kolev, and Ulrike Meier YangA Riemannian Dennis-Moré ConditionK.A. Gallivan, C. Qi, and P.-A. AbsilA Jump-Start of Non-Negative Least Squares SolversMu Wang, and Xiaoge WangFast Nonnegative Tensor Factorization with an Active-Set-Like MethodJingu Kim, and Haesun ParkKnowledge Discovery Using Nonnegative Tensor Factorization with Visual AnalyticsAndrey A. Puretskiy and Michael W. Berry
This book presents the state of the art in parallel numerical algorithms, applications, architectures, and system software. The book examines various solutions for issues of concurrency, scale, energy efficiency, and programmability, which are discussed in the context of a diverse range of applications. Features: includes contributions from an international selection of world-class authorities; examines parallel algorithm-architecture interaction through issues of computational capacity-based codesign and automatic restructuring of programs using compilation techniques; reviews emerging applications of numerical methods in information retrieval and data mining; discusses the latest issues in dense and sparse matrix computations for modern high-performance systems, multicores, manycores and GPUs, and several perspectives on the Spike family of algorithms for solving linear systems; presents outstanding challenges and developing technologies, and puts these in their historical context.
Presents the state of the art in parallel numerical algorithms, applications, architectures, and system software, with contributions from an international selection of world-class authoritiesReviews emerging applications of numerical methods in information retrieval and data miningPresents outstanding challenges and developing technologies, and puts these in their historical context