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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
9.
According to the passage, which ███ ██ ███ █████████ ██ █████
a
Emeagwali's breakthroughs in ████████ ██████ ████ █████ ██ ████ █████████ ████ ████ ████████████ █████████
b
Emeagwali's first breakthrough ██ ████████ ██████ ████ ██ ████████ ██ █ ███████ ██ ██ ███ ████████
c
Emeagwali was the █████ ██ ███ █ █████████ ████████ ████████ ██ ███████ ███ ████ ██ ███ ██ ███ ███████
d
Emeagwali was the █████ ████████ █████████ ██ ███ ██████ ██ █ █████ ███ █████ ███████████
e
Emeagwali was the █████ ██ █████ ████████ ██████████ ██ ███████ ██████████ █████████