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Transformational programming and parallel computation are two
emerging fields that may ultimately depend on each other for
success. Perhaps because ad hoc programming on sequential machines
is so straightforward, sequential programming methodology has had
little impact outside the academic community, and transformational
methodology has had little impact at all. However, because ad hoc
programming for parallel machines is so hard, and because progress
in software construction has lagged behind architectural advances
for such machines, there is a much greater need to develop parallel
programming and transformational methodologies. Parallel Algorithm
Derivation and Program Transformation stimulates the investigation
of formal ways to overcome problems of parallel computation, with
respect to both software development and algorithm design. It
represents perspectives from two different communities:
transformational programming and parallel algorithm design, to
discuss programming, transformational, and compiler methodologies
for parallel architectures, and algorithmic paradigms, techniques,
and tools for parallel machine models.Parallel Algorithm Derivation
and Program Transformation is an excellent reference for graduate
students and researchers in parallel programming and
transformational methodology. Each chapter contains a few initial
sections in the style of a first-year, graduate textbook with many
illustrative examples. The book may also be used as the text for a
graduate seminar course or as a reference book for courses in
software engineering, parallel programming or formal methods in
program development.
Transformational programming and parallel computation are two
emerging fields that may ultimately depend on each other for
success. Perhaps because ad hoc programming on sequential machines
is so straightforward, sequential programming methodology has had
little impact outside the academic community, and transformational
methodology has had little impact at all. However, because ad hoc
programming for parallel machines is so hard, and because progress
in software construction has lagged behind architectural advances
for such machines, there is a much greater need to develop parallel
programming and transformational methodologies.Parallel Algorithm
Derivation and Program Transformation stimulates the investigation
of formal ways to overcome problems of parallel computation, with
respect to both software development and algorithm design. It
represents perspectives from two different communities:
transformational programming and parallel algorithm design, to
discuss programming, transformational, and compiler methodologies
for parallel architectures, and algorithmic paradigms, techniques,
and tools for parallel machine models.Parallel Algorithm Derivation
and Program Transformation is an excellent reference for graduate
students and researchers in parallel programming and
transformational methodology. Each chapter contains a few initial
sections in the style of a first-year, graduate textbook with many
illustrative examples. The book may also be used as the text for a
graduate seminar course or as a reference book for courses in
software engineering, parallel programming or formal methods in
program development.
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