Customizing an open source processor to fit in an ultra-low power cluster with a shared L1 memory.
Michael GautschiDavide RossiLuca BeniniPublished in: ACM Great Lakes Symposium on VLSI (2014)
Keyphrases
- 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