'Use k' presentation slideshows

Map-Reduce and Its Children

Map-Reduce and Its Children. Distributed File Systems Map-Reduce and Hadoop Dataflow Systems Extensions for Recursion. Distributed File Systems. Chunking Replication Distribution on Racks. Distributed File Systems. Files are very large, read/append. They are divided into chunks .

758 views • 59 slides

Demystifying and Controlling the Performance of Data Center Networks

Demystifying and Controlling the Performance of Data Center Networks. Why ar e Data Centers Important?. Internal users Line-of-Business apps Production test beds External users Web portals Web services Multimedia applications Chat/IM. Why are Data Centers Important?.

509 views • 43 slides

Searching: Self Organizing Structures and Hashing

440 views • 32 slides

6.3.1 Heapsort

6.3.1 Heapsort. Idea: two phases: 1. Construction of the heap 2. Output of the heap For ordering number in an ascending sequence: use a Heap with reverse order: the maximum number should be at the root (not the minimum). Heapsort is an in-situ-Procedure.

460 views • 32 slides

388 views • 25 slides

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ENGIN 112 Intro to Electrical and Computer Engineering Lecture 23 Finite State Machine Design Procedure

ENGIN 112 Intro to Electrical and Computer Engineering Lecture 23 Finite State Machine Design Procedure. Overview. Design of systems that input flip flops and combinational logic Specifications start with a word description Create a state table to indicate next states

338 views • 17 slides

Looking only at 25-week data

Looking only at 25-week data. Hierarchical clustering -> two clusters which are up (yellow) in KO tumor and not (blue) in WT tumor. Select 389 genes (marked in green in the heat maps)

236 views • 16 slides

Chapter 3 Linear and Exponential Changes 3.3 Logarithmic phenomena: Compressed scales

Chapter 3 Linear and Exponential Changes 3.3 Logarithmic phenomena: Compressed scales. Learning Objectives: Understand the use of logarithms in compressed scales. Understand the Richter scale and calculate its magnitude in terms of relative intensity.

318 views • 14 slides

Spectral Clustering

Spectral Clustering. Scatter plot of a 2D data set. K-means Clustering. Spectral Clustering. U. von Luxburg . A tutorial on spectral clustering. Technical report, Max Planck Institute for Biological Cybernetics, Germany, 2006. Conventional K-means Clustering.

1.28k views • 14 slides

Grave, Wind Warrior Control

99 views • 2 slides