W Toku

data-intensive Computing and cloud - 01/09/2018 23:18 EDT

1 . Draw a table to explain the difference among data intensive scalable computing, cloud computing, fog computing, HPC, IoT in the following aspects: System Architectures, Application, Programming Model.

2 . Imagine you are asked to develop a modern search engine in support of both voice recognition and imagine processing. The scenarios are, you talk about "Find an air flight from Orlando to Chicago this Wednesday", or you take a picture on a wine label to check relevant comments as part of your decision making process. Amazon's Echo becomes a good smart-home buddy to connect to to Alexa to play music, make calls, set music alarms and timers, ask questions, control smart home devices, and more—instantly. What kind of computing techniques are employed here to implement such a function?

3 . We are using Amdahl’s Law and Gustafson’s Law to calculate overall speedup and scaled speedup. Given a 10% serial section of a program, calculate both speedups for a 64-processor machine.

4 . Textbook (A Quantitative Approach to Computer Architecture, 5th edition) Page 63: Exercise 1.4

1.4 [20/10/20] <1.5> Figure 1.23 presents the power consumption of several computer

system components. In this exercise, we will explore how the hard drive

affects power consumption for the system.

a. [20] <1.5> Assuming the maximum load for each component, and a power

supply efficiency of 80%, what wattage must the server’s power supply

deliver to a system with an Intel Pentium 4 chip, 2 GB 240-pin Kingston

DRAM, and one 7200 rpm hard drive?

b. [10] <1.5> How much power will the 7200 rpm disk drive consume if it is

idle roughly 60% of the time?

c . [20] <1.5> Given that the time to read data off a 7200 rpm disk drive will be

roughly 75% of a 5400 rpm disk, at what idle time of the 7200 rpm disk will

the power consumption be equal, on average, for the two disks?

Umiejętności: Przepisywanie dokumentów, Wprowadzanie danych

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O pracodawcy:
( 3 ocen ) Denver, United States

Numer ID Projektu: #17686836

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