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Books on the topic 'Computer Storage Optimization'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 September 2023

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1

Grappone, Jennifer. Search Engine Optimization. John Wiley & Sons, Ltd., 2008.

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2

Grappone, Jennifer. Search engine optimization: An hour a day. Wiley Pub., 2008.

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3

Stützle, Thomas. Learning and Intelligent Optimization: Third International Conference, LION 3, Trento, Italy, January 14-18, 2009. Selected Papers. Springer-Verlag Berlin Heidelberg, 2009.

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4

T, Feagin, Overland D, University of Houston--Clear Lake. Research Institute for Computing and Information Systems., and Lyndon B. Johnson Space Center., eds. Communications and tracking expert systems study. Research Institute for Computing and Information Systems, University of Houston--Clear Lake, 1987.

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5

Nikil, Dutt, and Nicolau Alexandru, eds. Memory issues in embedded systems-on-chip: Optimizations and exploration. Kluwer Academic, 1999.

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6

Pedram, Massoud, Yanzhi Wang, Younghyun Kim, and Naehyuck Chang. Computer-Aided Design and Optimization of Hybrid Energy Storage Systems. Now Publishers, 2013.

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7

Search Engine Optimization. John Wiley & Sons, Ltd., 2006.

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8

Grappone, Jennifer, and Gradiva Couzin. Search Engine Optimization. Wiley & Sons, Incorporated, John, 2008.

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9

Choi, Baek-Young, Sejun Song, and Daehee Kim. Data Deduplication for Data Optimization for Storage and Network Systems. Springer London, Limited, 2016.

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10

Choi, Baek-Young, Sejun Song, and Daehee Kim. Data Deduplication for Data Optimization for Storage and Network Systems. Springer, 2018.

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11

Choi, Baek-Young, Sejun Song, and Daehee Kim. Data Deduplication for Data Optimization for Storage and Network Systems. Springer International Publishing AG, 2016.

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12

Xu, Jun. Block Trace Analysis and Storage System Optimization: A Practical Approach with MATLAB/Python Tools. Apress, 2018.

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13

Grappone, Jennifer, and Gradiva Couzin. Search Engine Optimization: An Hour a Day. 2nd ed. Sybex, 2008.

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14

Grappone, Jennifer, and Gradiva Couzin. Search Engine Optimization: An Hour a Day. Wiley & Sons, Incorporated, John, 2010.

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15

Grappone, Jennifer, and Gradiva Couzin. Search Engine Optimization: An Hour a Day. Wiley & Sons, Incorporated, John, 2008.

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16

Marwedel, Peter, and Manish Verma. Advanced Memory Optimization Techniques for Low-Power Embedded Processors. Springer, 2010.

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17

Marwedel, Peter, and Manish Verma. Advanced Memory Optimization Techniques for Low-Power Embedded Processors. Springer London, Limited, 2007.

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18

Marwedel, Peter, and Manish Verma. Advanced Memory Optimization Techniques for Low-Power Embedded Processors. Springer, 2007.

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19

Redbooks, IBM. IBM Totalstorage: San Product, Design, And Optimization Guide. Ibm, 2005.

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20

IBM Totalstorage: San Product, Design, And Optimization Guide. Vervante, 2005.

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21

Stützle, Thomas. Learning and Intelligent Optimization: Designing, Implementing and Analyzing Effective Heuristics. Springer, 2010.

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22

Nazri, Gholam-Abbas, and Christian Julien. Solid State Batteries: Materials Design and Optimization (The International Series in Engineering and Computer Science). Springer, 1994.

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23

Pardalos, P. M. Software Engineering Techniques Applied to Agricultural Systems: An Object-Oriented and UML Approach (Applied Optimization). Springer, 2005.

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24

Panda, Preeti Ranjan, Nikil D. Dutt, and Alexandru Nicolau. Memory Issues in Embedded Systems-On-Chip: Optimizations and Exploration. Springer, 1998.

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25

Di Ventra, Massimiliano. MemComputing. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780192845320.001.0001.

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Abstract:

From the originator of MemComputing comes the very first book on this new computing paradigm that employs time non-locality (memory) to both process and store information. The book discusses the rationale behind MemComputing, its theoretical foundations, and wide-range applicability to combinatorial optimization problems, Machine Learning, and Quantum Mechanics. The book is ideal for graduate students in Physics, Computer Science, Electrical Engineering, and Mathematics as well as researchers in both academia and industry interested in unconventional computing. The author relies on extensive margin notes, important remarks, and several artworks to better explain the main concepts and clarify all the jargon, making the book as self-contained as possible. The reader will be guided from the basic notions to the more advanced ones with a writing style that is always clear and engaging. Along the way, the reader will appreciate the advantages of this computing paradigm and the major differences that set it apart from the prevailing Turing model of computation, and even Quantum Computing.

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