A Primer on Memory Consistency and Cache CoherenceConsistency and Coherence for Heterogeneous Systems
A Primer on Memory Consistency and Cache Coherence: Consistency and Coherence for Heterogeneous...
Nagarajan, Vijay; Sorin, Daniel J.; Hill, Mark D.; Wood, David A.
2020-01-01 00:00:00
[This is the age of specialization. Today’s server, mobile, and desktop processors contain not only conventional CPUs, but also various flavors of accelerators. The most prominent among the accelerators are Graphics Processing Units (GPUs). Other types of accelerators including Digital Signal Processors (DSPs), AI accelerators (e.g., Apple’s Neural Engine, Google’s TPU), cryptographic accelerators, and field-programmable-gate-arrays (FPGAs) are also becoming common.]
http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.pnghttp://www.deepdyve.com/lp/springer-journals/a-primer-on-memory-consistency-and-cache-coherence-consistency-and-G0dTaRJuw6
A Primer on Memory Consistency and Cache CoherenceConsistency and Coherence for Heterogeneous Systems
[This is the age of specialization. Today’s server, mobile, and desktop processors contain not only conventional CPUs, but also various flavors of accelerators. The most prominent among the accelerators are Graphics Processing Units (GPUs). Other types of accelerators including Digital Signal Processors (DSPs), AI accelerators (e.g., Apple’s Neural Engine, Google’s TPU), cryptographic accelerators, and field-programmable-gate-arrays (FPGAs) are also becoming common.]
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