Unmatched Efficiency in Computing

Unparalleled energy efficiency and flexibility in computing to give developers powerful solutions fit for their needs.

Technology Overview

Energy is everything

Efficient Computer is pioneering a new era in general-purpose computing with our ultra-energy-efficient Fabric processor architecture.

The synergy of the E1 processor and effcc compiler offers unmatched energy efficiency, programmability, and performance. Our technology eliminates energy constraints in computing, making it possible to build applications that are infeasible today.

Efficient’s Architectural Advantage

Rearchitecting general-purpose computing from the ground up

Efficient’s Fabric architecture is not just an upgrade — it is a radical re-imagining of the general-purpose processor that, for the first time, avoids the fundamental inefficiency of existing CPU architectures. The Fabric is engineered from the ground up to minimize energy consumption while delivering exceptional performance for a broad array of applications written in high-level programming languages.

Category-Defining Energy Efficiency
Efficiency with a Parallel Performance Boost
The Versatility of General-Purpose Programmability

E1 Processor

Redefining efficiency in general-purpose computer processing

Efficient’s E1 processor enhances computing by intelligently distributing workloads and connecting instructions to reflect the application dataflow.

This design ensures high energy efficiency and strong performance, all while maintaining full programmability. With its scalable architecture, the E1 processor is ready for a wide range of applications, from edges devices, wearables, and many more.

Efficient’s effcc Compiler

Amplified impact with your own code

Efficient’s effcc compiler works hand-in-hand with the E1 processor – it is the key to unlocking all of the Fabric’s capabilities without the need to rewrite your code.

Our compiler works with most major embedded languages, allowing you to harness the benefits of our technology without extensive overhauls to your existing code.

How it works

Unlocking energy efficiency and performance

Fabric optimizes your program’s operations at every step of the way.

The trouble with processors

Processors on the market today are still built on technology developed over 70 years ago, with inherent limitations.

Modern processors inefficiently shuffle program instructions and data around on every cycle. This process is often inefficient and, in many cases, frustratingly slow.

The power of hardware and software

The effcc compiler takes your code, converts it into a dataflow graph, and optimizes it for maximum efficiency on the Fabric processor.

This seamless integration between hardware and software ensures peak performance and efficiency with minimal effort for your team.

Expanding product capabilities

By combining high efficiency and top-tier performance, the Fabric processor allows products to operate far longer, expanding their potential and enabling new use cases.

The Fabric allows you to break free of the limitations of traditional processors and usher in what’s new.

Resources

Stay Updated with Latest Articles

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Whitepaper

Monza: An Energy-Minimal, General-Purpose Dataflow System-on-Chip for the Internet of Things

By: Nathan Beckmann, Brandon Lucia, Graham Gobieski, Tony Nowatzki, Thomas Jackson, Guenole Lallement

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Whitepaper

RipTide: A programmable, energy-minimal dataflow compiler and architecture

by Graham Gobieski, Souradip Ghosh, Marijn Heule, Todd Mowry, Tony Nowatzki, Nathan Beckmann, Brandon Lucia

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Whitepaper

Programmable, energy-minimal computer architectures

by Graham Gobieski

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SNAFU: An Ultra-Low-Power, Energy-Minimal CGRA-Generation Framework and Architecture

by Graham Gobieski, Oguz Atli, Ken Mai, Brandon Lucia, Nathan Beckmann

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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

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Intelligence Beyond the Edge: Inference on Intermittent Embedded Systems

by Graham Gobieski, Brandon Lucia, Nathan Beckmann

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Intermittent Deep Neural Network Inference

by Graham Gobieski, Nathan Beckmann, Brandon Lucia