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passage 2
This passage was adapted from articles published in the 1990s.
P1
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Intro topic ·
Computer scientist Philip Emeagwali's inspiration and work on parallel computing
Describe Emeagwali's contribution ·
Developed parallel computing system to predict underground oil flow
Used network of many computers working simultaneously; solved speed and efficiency problems with traditional "sequential" computers
P2
Problem ·
Predicting oil flow requires many simultaneous calculations
Emeagwali's solution ·
Connect many individual computers over Internet to form huge parallel computer
New problem and solution ·
Properly dividing parallel tasks is hard; solution was to design computer network like tree branches
Tree branches follow very efficient patterns for collecting and moving resources; computer networks that follow the same underlying patterns are very efficient at generating and transmitting data
P3
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Emeagwali's future work ·
Parallel computing modeled after spacing of honeycombs
Emeagwali's perspective ·
Nature will become a more important source of inspiration for technical solutions
Passage Style
Single position
Spotlight
10.
The passage most strongly suggests ████ █████████ █████ █████ ███ ██ ███ █████████ ██████
a
Some natural systems ████ ███████ ██ █████████ █████████ ██ ████████ ████ ███ █████████ ██ ███████████ ████ ██ █████████ ████████ █████ ██ ████████ ███████████
b
Global weather is ██████ ███ ███████████ ██ ██ ██████████ ███████████ ████ ████ █ ███ ███████ ██ ████████
c
Most computer designs ████ ██ ███ ██████ ██ ████████ ██ ███████ ████████
d
Massively parallel computers ████ ██████████ ██ █████████ ██████ ██ ███████ █████ ███ ████ ██ ██████████ ███████ █████████ ██████
e
The mathematical structure ██ █████████ █████ ██ ██████ █████████ ███ █████████ ████████ ███████ ██ ███████ ███ ████ ██ ███ ███████ ███ ███████