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portada Computer Architecture for Scientists: Principles and Performance
Type
Physical Book
Year
2022
Language
English
Pages
264
Format
Hardcover
Dimensions
25.4x17.8x0.5 cm
Weight
0.64 kg.
ISBN13
9781316518533

Computer Architecture for Scientists: Principles and Performance

Andrew A. Chien (Author) · Cambridge University Press · Hardcover

Computer Architecture for Scientists: Principles and Performance - Chien, Andrew A.

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Delivery: 16 Sep - 18 Sep Shipping: 6 to 7 business days.
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€ 83,69

Synopsis "Computer Architecture for Scientists: Principles and Performance "

The dramatic increase in computer performance has been extraordinary, but not for all computations: it has key limits and structure. Software architects, developers, and even data scientists need to understand how exploit the fundamental structure of computer performance to harness it for future applications. 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. These principles and models provide approachable high-level insights and quantitative modelling without distracting low-level detail. Finally, the text covers the GPU and machine-learning accelerators that have become increasingly important for mainstream applications.

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