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Customizing an open source processor to fit in an ultra-low power cluster with a shared L1 memory.
Michael Gautschi
Davide Rossi
Luca Benini
Published in:
ACM Great Lakes Symposium on VLSI (2014)
Keyphrases
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open source
shared memory multiprocessors
ultra low power
memory management
distributed shared memory
intel xeon
open source software
shared memory
memory access
clustering algorithm
low power
memory subsystem
source code
computing power
data points
memory hierarchy
high speed
processor core
random access memory
cache misses
single chip
message passing
parallel processing
memory requirements
data clustering
case study
multi core processors
multithreading
processing elements
core components
cluster analysis