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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
13.
It can be inferred from ███ ███████ ████ ███ ██ ███ ███████ █████████ ████████ █████████ ███ ███ ████ ████ ██ █████ ███ █████ ████ █████ ██ ████ ██ ████
a
supercomputers are sufficiently ████████ ██ ██████ ████ █████████████ █████████ █████████ ████ ████████ ███████ ████ ███ ██████████
b
the possibility of █████ █ ███████ ██ ███████ █████████ ██ █████ ███████████████ █████████ ████████ ███ ███ ███ ████ ██████████
c
the general public ███ ███ ███ █████ ██ ███ █████████ ██ ████ ████████████ ██ ███ ████████
d
oil companies had ███ ███ █████████ ███ ████ ███ ████████ ███ ████ ██ ███ ██ ████████████ ██████
e
smaller computers can █████████ ████ ███ ███████ ████ ████ ███ █████████ ████████ ██ ████████ ██ █████ █ ███████████████ █████████ ███████