Computer Architecture for Scientists: Principles and Performance by Andrew A.
68,56 €
The dramatic increase in computer performance has been extraordinary, but not for all computations: it has key limits and structure. Ideal for upper level undergraduates, Computer Architecture for Scientists covers four key pillars of computer performance and imparts a high-level basis for reasoning with and understanding these concepts: Small is fast – how size scaling drives performance; Implicit parallelism – how a sequential program can be executed faster with parallelism; Dynamic locality – skirting physical limits, by arranging data in a smaller space; Parallelism – increasing performance with teams of workers.
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