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Stanford University

Stanford Seminar - The REX Neo Architecture - An Energy Efficient New Processor Architecture

Stanford University via YouTube

Overview

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This course aims to teach learners about the REX Neo Architecture, an energy-efficient processor design. By the end of the course, students will understand the inefficiencies of current processor designs and how REX Neo offers a modern computing solution. They will learn about the Neo64 Instruction Set Architecture, the Neo Network on Chip for scalability, and the Kandou Bus Glasswing technology. The course employs a combination of lectures, demonstrations, and discussions to convey the material effectively. It is intended for individuals interested in processor architecture, computer engineering, and energy-efficient computing solutions.

Syllabus

Introduction.
Meet Team REX.
REX Neo: A new approach to efficient computing redefines how processors are designed and where computing occurs..
Current processors were designed for an old paradigm. Floating Point Operation Energy Consumption.
Introducing the REX Neo Architecture.
REX Neo is a complete modern computing solution.
Neo64 is a minimalist Instruction Set Architecture..
VLIW?! Scratchpad?! That's madness!.
The Neo64 ISA maximizes instruction level parallelism along with code density.
Each Neo Core prioritizes computational efficiency..
The Neo Network on Chip maximizes scalability.
Neo 16 core demo: Concept to Tapeout in 6 months.
Kandou Bus Glasswing: Chord Sirnaling Serializer/Deserializer.
Kandou Bus Glasswing: Chord Signaling Serializer/Deserializer.
REX Computing Engineering Timeline.
Cadence Design Flow allowed for rapid design changes to optimize for PPA.
The Neo Development Environment simplifies programming.
Accurate High Performance Simulation without compromise.
Library support eases porting of common functionality.
Extensible Debugging and Profiling.
REX efficiency is 10+ years ahead of competitors..
Continuing to improve power efficiency anticipates design and process improvements..
Semiconductor Economics.
Advisory Board.

Taught by

Stanford Online

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