April 2016
Beginner to intermediate
463 pages
18h 53m
English
Content preview from Big Data
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A Qualitatively Different Principle for the Organization of Big Data Processing
191
7.5.2 Why pipelining with FPGAs
Big Data introduces unconventional pressure on time and memory performance. Consequently,
new computation models are significantly required to cope up with Big Data situation.
Researchers introduced “on-the-fly” clusterization of amorphous data. On-the-fly processing
deals with a continuous stream of data, and it must maintain a certain throughput of information
flow. In this pattern, hardware design should not tolerate any postponement of oncoming
stream.
There are two obvious reasons to exclude graphics processing units as a suitable