'Dirty bit' diaporamas de présentation

Problems discussed in the review session for the final

Problems discussed in the review session for the final. COSC 4330/6310 Summer 2012. True or false?. External fragmentation is often the result of using very large page sizes. Answer. External fragmentation is often the result of using very large page sizes.

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CS252 Graduate Computer Architecture Lecture 20 April 11 th , 2011 Distributed Shared Memory

CS252 Graduate Computer Architecture Lecture 20 April 11 th , 2011 Distributed Shared Memory. Prof John D. Kubiatowicz http://www.cs.berkeley.edu/~kubitron/cs252. Recall: Sequential Consistency Example. Processor 1. Processor 2. One Consistent Serial Order. LD 1 A ? 5 LD 2 B ? 7

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CS252 Graduate Computer Architecture Lecture 26 Distributed Shared Memory

CS252 Graduate Computer Architecture Lecture 26 Distributed Shared Memory. Prof John D. Kubiatowicz http://www.cs.berkeley.edu/~kubitron/cs252. P. P. n. 1. P. P. n. 1. $. $. $. $. Mem. Mem. Inter. connection network. Inter. connection network. Mem. Mem.

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The Dirty-Block Index

The Dirty-Block Index. Vivek Seshadri Abhishek Bhowmick ? Onur Mutlu Phillip B. Gibbons ? Michael A. Kozuch ? Todd C. Mowry. Summary. Problem: Dirty bit o rganization in caches does not match queries Inefficiency and performance loss The Dirty-Block Index (DBI)

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CMPE 421 Parallel Computer Architecture

CMPE 421 Parallel Computer Architecture. PART3 Accessing a Cache. 01. 4. 11. 15. Direct Mapped Cache Example 2 ( 4, 1-word blocks ). Consider the main memory word reference string 0 1 2 3 4 3 4 15.

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Shared Memory Without A Bus

Shared Memory Without A Bus. In SMPs the bus is a centralized point where the writes can be serialized. When no such point exists, as in large parallel computers, the situation gets very much more complicated. We continue our examination of shared memory implementations.

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Shared Memory Without A Bus

Shared Memory Without A Bus. In SMPs the bus is a centralized point where the writes can be serialized. When no such point exists, as in large parallel computers, the situation gets very much more complicated. We continue our examination of shared memory implementations.

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Cache Coherence Protocols

Cache Coherence Protocols. A. Jantsch / Z. Lu / I. Sander. Formal Definition of Coherence. Results of a program : values returned by its read operations

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Virtual Memory and Address Translation

Virtual Memory and Address Translation. Review. Program addresses are virtual addresses. Relative offset of program regions can not change during program execution. E.g., heap can not move further from code. Virtual addresses == physical address inconvenient.

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CS252 Graduate Computer Architecture Lecture 20 April 12 th , 2010 Distributed Shared Memory

CS252 Graduate Computer Architecture Lecture 20 April 12 th , 2010 Distributed Shared Memory. Prof John D. Kubiatowicz http://www.cs.berkeley.edu/~kubitron/cs252. Recall: Sequential Consistency Example. Processor 1. Processor 2. One Consistent Serial Order. LD 1 A ? 5 LD 2 B ? 7

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Scalable Cache Coherent Systems

Scalable Cache Coherent Systems. Scalable distributed shared memory machines Assumptions: Processor-Cache-Memory nodes connected by scalable network. Distributed shared physical address space. Communication assist (CA) must interpret network transactions, forming shared address space.

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Scalable Cache Coherent Systems

Scalable Cache Coherent Systems. Scalable distributed shared memory machines Assumptions: Processor-Cache-Memory nodes connected by scalable network. Distributed shared physical address space. Communication assist (CA) must interpret network transactions, forming shared address space.

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Range Queries in Non-blocking k-ary Search Trees Trevor Brown Hillel Avni

Range Queries in Non-blocking k-ary Search Trees Trevor Brown Hillel Avni. Problem Statement. Want to store keys in a dynamic data structure supporting insertion, deletion, and: RangeQuery(a, b): returns all keys of the data structure in range [a, b]. Previous Solutions.

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5. Disk, Pages and Buffers Why Not Store Everything in Main Memory? Why use disks at all?

5. Disk, Pages and Buffers Why Not Store Everything in Main Memory? Why use disks at all?. Main memory costs too much. $1000 will buy you either 1 GB of RAM or 1 TGB of disk today (maybe more!) (~1000 as much disk as RAM per dollar) . Main memory is volatile.

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Chapter 7d: V.M. Protection

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