In this volume, designed for computational scientists and engineers
working on applications requiring the memories and processing rates
of large-scale parallelism, leading algorithmicists survey their
own field-defining contributions, together with enough historical
and bibliographical perspective to permit working one's way to the
frontiers. This book is distinguished from earlier surveys in
parallel numerical algorithms by its extension of coverage beyond
core linear algebraic methods into tools more directly associated
with partial differential and integral equations - though still
with an appealing generality - and by its focus on practical
medium-granularity parallelism, approachable through traditional
programming languages. Several of the authors used their invitation
to participate as a chance to stand back and create a unified
overview, which nonspecialists will appreciate.
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