End-to-end synthesis of dynamically controlled machine learning accelerators
Edge systems are required to autonomously make real-time decisions based on large
quantities of input data under strict power, performance, area, and other constraints. Meeting …
quantities of input data under strict power, performance, area, and other constraints. Meeting …
Towards automatic and agile AI/ML accelerator design with end-to-end synthesis
Domain-specific designs offer greater energy efficiency and performance gain than general-
purpose processors. For this reason, modern system-on-chips have a significant portion of …
purpose processors. For this reason, modern system-on-chips have a significant portion of …
[PDF][PDF] Accelerating Data Processing at the Edge with Extreme Specialization
Challenges and Current Approaches. The US Department of Energy (DOE) operates the
largest collection of experimental scientific instruments in the world for a variety of scientific …
largest collection of experimental scientific instruments in the world for a variety of scientific …