Buffer Sizing of a NoC Through Machine Learning

A non-transitory computer readable medium, storing instructions for generating a Network on Chip (NoC), comprising:

• processing traffic flows of the NoC to determine at least one of idle cycles, bubbles and NoC characteristics for a plurality of virtual channels of the NoC;
• configuring each of the plurality of virtual channels as one of a cut-through channel and a store-and-forward channel based on the determined at least one of the idle cycles, the bubbles, and the NoC characteristics;
• and
• generating dynamically configurable buffers for the ones of the plurality of virtual channels configured as store-and-forward channels, the dynamically configurable buffers sized according to a machine learning based process configured to determine arrival rate of packets and drain rate of packets based on an arbitration process of the NoC;
• and
• generating the NoC comprising the plurality of virtual channels and the dynamically configurable buffers.

A system for generating a Network on Chip (NoC), comprising:

• a processor, configured to:
• process traffic flows of the NoC to determine at least one of idle cycles, bubbles and NoC characteristics for a plurality of virtual channels of the NoC;
• configure each of the plurality of virtual channels as one of a cut-through channel and a store-and-forward channel based on the determined at least one of the idle cycles, the bubbles, and the NoC characteristics;
• and
• generate dynamically configurable buffers for the ones of the plurality of virtual channels configured as store-and-forward channels, the dynamically configurable buffers sized according to a machine learning based process configured to determine arrival rate of packets and drain rate of packets based on an arbitration process of the NoC;
• and
• generate the NoC comprising the plurality of virtual channels and the dynamically configurable buffers.