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Load Balancing in Parallel Computers - Theory and Practice (Hardcover, 1997 ed.)
Loot Price: R5,559
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Load Balancing in Parallel Computers - Theory and Practice (Hardcover, 1997 ed.)
Series: The Springer International Series in Engineering and Computer Science, 381
Expected to ship within 10 - 15 working days
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Load Balancing in Parallel Computers: Theory and Practice is about
the essential software technique of load balancing in distributed
memory message-passing parallel computers, also called
multicomputers. Each processor has its own address space and has to
communicate with other processors by message passing. In general, a
direct, point-to-point interconnection network is used for the
communications. Many commercial parallel computers are of this
class, including the Intel Paragon, the Thinking Machine CM-5, and
the IBM SP2. Load Balancing in Parallel Computers: Theory and
Practice presents a comprehensive treatment of the subject using
rigorous mathematical analyses and practical implementations. The
focus is on nearest-neighbor load balancing methods in which every
processor at every step is restricted to balancing its workload
with its direct neighbours only. Nearest-neighbor methods are
iterative in nature because a global balanced state can be reached
through processors' successive local operations. Since
nearest-neighbor methods have a relatively relaxed requirement for
the spread of local load information across the system, they are
flexible in terms of allowing one to control the balancing quality,
effective for preserving communication locality, and can be easily
scaled in parallel computers with a direct communication network.
Load Balancing in Parallel Computers: Theory and Practice serves as
an excellent reference source and may be used as a text for
advanced courses on the subject.
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