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An Approach for Processing Large and Non-uniform Media Objects on MapReduce-Based Clusters

An Approach for Processing Large and Non-uniform Media Objects on MapReduce-Based Clusters. Rainer Schmidt and Matthias Rella Speaker: Lin-You Wu. Outline. 1. Problem Description and Strategy 2. Data Decomposition 3. User Defined Functions 4. Application Design 5. Experiment Setup

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280 views • 19 slides

Lecture 14: Large Cache Design II

Lecture 14: Large Cache Design II. Topics: Cache partitioning and replacement policies. Page Coloring. Bank number with Set-interleaving. Bank number with Page-to-Bank. CACHE VIEW. Tag. Set Index. Block offset. 00000000000 000000000000000 000000. OS VIEW. Physical page number.

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285 views • 16 slides

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An Approach for Processing Large and Non-uniform Media Objects on MapReduce-Based Clusters

Lecture 14: Large Cache Design II