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Books on the topic 'Memory hierarchy'

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1

Sun, Guangyu. Exploring Memory Hierarchy Design with Emerging Memory Technologies. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-00681-9.

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2

Hexsel, Roberto A. The performance of SCI memory hierarchies. Edinburgh: University of Edinburgh, Dept. of Computer Science, 1994.

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3

Przybylski, Steven A. Cache and memory hierarchy design: A performance-directed approach. San Mateo, Calif: Morgan Kaufmann Publishers, 1990.

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4

Sardashti, Somayeh, Angelos Arelakis, Per Stenström, and David A. Wood. A Primer on Compression in the Memory Hierarchy. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-031-01751-3.

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5

The fractal structure of data reference: Applications to the memory hierarchy. Boston, MA: Kluwer Academic, 2000.

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6

T, Chronopoulos A. Implementation of preconditioned S-step conjugate gradient methods on a multiprocessor system with memory hierarchy. Urbana, IL (1304 W. Springfield Ave., Urbana 61801): Dept. of Computer Science, University of Illinois at Urbana-Champaign, 1987.

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7

T, Chronopoulos A. Implementation of s-step methods on parallel vector architectures. Urbana, IL (1304 W. Springfield Ave., Urbana 61801): Dept. of Computer Science, University of Illinois at Urbana-Champaign, 1987.

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8

Henning, Grant. A study of the effects of variation of short-term memory load, reading response length, and processing hierarchy on TOEFL listening comprehension item performance. Princeton, NJ: Educational Testing Service, 1991.

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9

Cache and Memory Hierarchy Design. Elsevier, 1990. http://dx.doi.org/10.1016/c2009-0-27582-9.

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10

Sun, Guangyu. Exploring Memory Hierarchy Design with Emerging Memory Technologies. Springer, 2013.

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11

Sun, Guangyu. Exploring Memory Hierarchy Design with Emerging Memory Technologies. Springer, 2016.

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12

Sun, Guangyu. Exploring Memory Hierarchy Design with Emerging Memory Technologies. Springer London, Limited, 2013.

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13

Memory Evolutive Systems - Hierarchy, Emergence, Cognition. Elsevier, 2007. http://dx.doi.org/10.1016/s1571-0831(06)x0400-8.

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14

Ehresmann, A. C., and J. P. Vanbremeersch. Memory Evolutive Systems; Hierarchy, Emergence, Cognition. Elsevier Science & Technology Books, 2007.

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15

Stenström, Per, Wood David A, Somayeh Sardashti, and Angelos Arelakis. Primer on Compression in the Memory Hierarchy. Morgan & Claypool Publishers, 2015.

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16

The uniform memory hierarchy model of computation. Ithaca, N.Y: Cornell Theory Center, Cornell University, 1993.

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17

Primer on Compression in the Memory Hierarchy. Springer International Publishing AG, 2015.

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18

Stenström, Per, Wood David A, Somayeh Sardashti, and Angelos Arelakis. Primer on Compression in the Memory Hierarchy. Morgan & Claypool Publishers, 2015.

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19

Przybylski, Steven A. Cache and Memory Hierarchy Design: A Performance Directed Approach. Elsevier Science & Technology Books, 2014.

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20

Memory Evolutive Systems; Hierarchy, Emergence, Cognition (Studies in Multidisciplinarity). Elsevier Science, 2007.

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21

McNutt, Bruce. Fractal Structure of Data Reference: Applications to the Memory Hierarchy. Springer London, Limited, 2006.

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22

McNutt, Bruce. Fractal Structure of Data Reference: Applications to the Memory Hierarchy. Springer, 2010.

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23

Kjelsø, Morten. A quantitative evaluation of data compression in the memory hierarchy. 1997.

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24

(Editor), Ulrich Meyer, Peter Sanders (Editor), and Jop Sibeyn (Editor), eds. Algorithms for Memory Hierarchies: Advanced Lectures (Lecture Notes in Computer Science). Springer, 2003.

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25

McNutt, Bruce. The Fractal Structure of Data Reference:: Applications to the Memory Hierarchy (Advances in Database Systems). Springer, 2000.

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26

Ehresmann, Andrée. Applications of Categories to Biology and Cognition. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198748991.003.0015.

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Mathematical models used in biology are generally adapted from physics and relate to specific local processes. Category theory helps developing global dynamic models account for the main specificities of living systems: (i) The system is evolutionary, with a tangled hierarchy of interacting components, which change over time. (ii) It develops a robust and flexible memory up to the emergence of components and processes of increasing complexity. (iii) It has a multi-agent, multi-temporality, self-organization. This chapter presents such a model, the Memory Evolutive Systems, which in particular characterizes the property at the root of emergence and flexibility. A main application is the model MENS for a neurocognitive system which proposes a physically based “theory of mind”, up to the emergence of higher cognitive processes such as consciousness, anticipation, and creativity.
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27

Burge, Tyler. Perception: First Form of Mind. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780198871002.001.0001.

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Perception is the first form of representational mind to emerge in evolution. Three types of form are discussed: formal representational structure of perceptual states, formation characteristics in computations of perceptual states, and the form of the visual and visuomotor systems. The book distinguishes perception from non-perceptual sensing. The formal representational structure of perceptual states is developed via a systematic semantics for them—an account of what it is for them to be accurate or inaccurate. This semantics is elaborated by explaining how the representational form is embedded in an iconic format. These structures are then situated in what is known about the processing of perceptual representations, with emphasis on formation of perceptual categorizations. Features of processing that provide insight into the scope of the perceptual (paradigmatically visual) system are highlighted. Relations between these processes and associated perceptual-level capacities—conation, attention, memory, anticipation, affect, learning, imagining—are delineated. Roughly, a perceptual-level capacity is one that borrows its form and content from perception and involves processing that is no more complex or sophisticated than processing that occurs in the classical visual hierarchy. Relations between perception and these associated perceptual-level capacities are argued to occur within the perceptual and perceptual-motor systems. An account of what it is to occur within these systems is elaborated. An upshot is refinement of the distinction between perceptual-level capacities, on one hand, and thought and conception, on the other. Intermediate territory between perception-level representation and propositional thought is explored. The book is resolutely a work in philosophy of science. It attempts to understand perception by focusing on its form, function, and underlying capacities, as indicated in the sciences of perception, rather than by relying on introspection or ordinary talk about perception.
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