Computer Architecture for Scientists: Principles and Performance - Image 1

£39.70

Cambridge University Press Computer Architecture for Scientists: Principles and Performance

Name: Computer Architecture for Scientists: Principles and Performance
Brand: Cambridge University Press
Price: 46.15 GBP
Availability: InStock

Architecture & Microprocessors

Price History & Forecast

Last 52 days • 52 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 52 days • 10 price levels

Days at Price

Current Price

Price Analysis

Most common price: £45 (13 days, 25.0%)

Price range: £36 - £46

Price levels: 10 different prices over 52 days

Description

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.

Product Specifications

Brand: Cambridge University Press
Format: hardcover
ASIN: 1316518531
Category: Books > Subjects > Computing & Internet > Computer Science > Architecture & Microprocessors
Domain: Amazon UK
Release Date: 10 March 2022
Listed Since: 28 August 2021

Barcode

No barcode data available

Cambridge University Press Computer Architecture for Scientists: Principles and Performance

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Parallel Computer Organization and Design

Introduction to High Performance Computing for Scientists and Engineers (Chapman & Hall/CRC Computational Science)

Scientific Parallel Computing

Introduction to High Performance Computing for Scientists and Engineers (Chapman & Hall/CRC Computational Science)

Parallel Computer Architecture: A Hardware/Software Approach (The Morgan Kaufmann Series in Computer Architecture and Design)

Parallel Programming for Modern High Performance Computing Systems

Distributed Computing: Principles, Algorithms, and Systems

A Practical Approach to High-Performance Computing

Principles of Computer Architecture

The Art of High Performance Computing for Computational Science, Vol. 1: Techniques of Speedup and Parallelization for General Purposes

High-Performance Scientific Computing: Algorithms and Applications

Computer Systems Architecture (Chapman & Hall/CRC Textbooks in Computing)

Fundamentals of Parallel Multicore Architecture (Chapman & Hall/CRC Computational Science)

Parallel Scientific Computing in C++ and MPI: A Seamless Approach to Parallel Algorithms and their Implementation

Elements of Parallel Computing (Chapman & Hall/CRC Computational Science)

Programming Models for Parallel Computing (Scientific and Engineering Computation)

Advanced Computational Infrastructures for Parallel and Distributed Adaptive Applications (Wiley Series on Parallel and Distributed Computing)

Parallel Algorithms (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series)

Computer Organisation and Architecture: Evolutionary Concepts, Principles, and Designs

Computer Architecture: From the Stone Age to the Quantum Age

Parallel Programming: for Multicore and Cluster Systems

Programming in Parallel with CUDA: A Practical Guide

Parallel Programming for Modern High Performance Computing Systems

Principles of High-Performance Processor Design: For High Performance Computing, Deep Neural Networks and Data Science