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Efficient General-Purpose-Computing in the World of GPUs and AI Accelerators
Efficient General-Purpose-Computing in the World of GPUs and AI Accelerators
By: Abhishek Kapoor, Vice President of Sales
Analyzing the Energy Crisis – and Opportunities – in Computing
Analyzing the Energy Crisis – and Opportunities – in Computing
By: Abhishek Kapoor, Vice President of Sales
Efficient and GlobalFoundries Partner to Enable a New Category of Ultra Energy-Efficient, High-Performance Processors
Efficient and GlobalFoundries Partner to Enable a New Category of Ultra Energy-Efficient, High-Performance Processors
Efficient has partnered with GlobalFoundries to bring to market a revolutionary processor that delivers up to 166 times greater energy efficiency compared to industry-standard embedded CPUs.
Efficient Computer raises $16M to solve computing’s energy problem
Efficient Computer raises $16M to solve computing’s energy problem
Hello, world! We are excited to emerge from stealth and introduce Efficient Computer, the company that is revolutionizing energy-efficient computing.
RipTide: A programmable, energy-minimal dataflow compiler and architecture
RipTide: A programmable, energy-minimal dataflow compiler and architecture
by Graham Gobieski, Souradip Ghosh, Marijn Heule, Todd Mowry, Tony Nowatzki, Nathan Beckmann, Brandon Lucia
SNAFU: An Ultra-Low-Power, Energy-Minimal CGRA-Generation Framework and Architecture
SNAFU: An Ultra-Low-Power, Energy-Minimal CGRA-Generation Framework and Architecture
by Graham Gobieski, Oguz Atli, Ken Mai, Brandon Lucia, Nathan Beckmann
MANIC: An Energy-Efficient Architecture for Ultra-Low-Power Embedded Systems
MANIC: An Energy-Efficient Architecture for Ultra-Low-Power Embedded Systems
by Graham Gobieski, Amolak Nagi, Nathan Serafin, Mehmet Meric Isgenc, Nathan Beckmann, Brandon Lucia
Intelligence Beyond the Edge: Inference on Intermittent Embedded Systems
Intelligence Beyond the Edge: Inference on Intermittent Embedded Systems
by Graham Gobieski, Brandon Lucia, Nathan Beckmann
Intermittent Deep Neural Network Inference
Intermittent Deep Neural Network Inference
by Graham Gobieski, Nathan Beckmann, Brandon Lucia
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