Tutorial Micro 2020 Confuciux Hardware

Media Summary: Guest lecture: Hardware Accelerator for DNN part 1 ... called GAMMA) Presenter: Sheng-Chun (Felix) Kao (Georgia Tech) This talk is recorded for Guest lecture: Hardware Accelerator for DNN part 2

Tutorial Micro 2020 Confuciux Hardware - Detailed Analysis & Overview

Guest lecture: Hardware Accelerator for DNN part 1 ... called GAMMA) Presenter: Sheng-Chun (Felix) Kao (Georgia Tech) This talk is recorded for Guest lecture: Hardware Accelerator for DNN part 2 S.-C. Kao, T Krishna, “GAMMA: Automating the HW Mapping of DNN Models on Accelerators via Genetic Algorithm”, ICCAD, Deploying Deep Learning (DL) models on resource-constrained embedded devices is a challenging task. The limited on-chip ... Deep neural networks (DNNs) can be efficiently executed on dataflow accelerators. However, the vast space of executing ...

Practical Notes on Embedded (starts with a by Martin Děcký At: FOSDEM 2019 While the ... This video shows how to use the IOMUX automatic pin muxing feature integrated into the HALCoGen GUI startup and driver ...

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[Tutorial - MICRO 2020] ConfuciuX: Hardware Design-space Exploration via RL and Optimization

[MICRO2020] ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators using RL

Understanding Reuse, Performance, and Hardware Cost of DNN Dataflows: A Data-Centric Approach

Using the CINAHL/MeSH Headings Feature in EBSCOhost - Tutorial

Guest lecture: Hardware Accelerator for DNN part 1

[Tutorial - MICRO 2020] GAMMA: Mapping Space Exploration via Optimization

Guest lecture: Hardware Accelerator for DNN part 2

[ICCAD2020] GAMMA: Automating the HW Mapping of DNN Models on Accelerators via Genetic Algorithm

SuperSlash: Unified Design Space Exploration & Pruning Methodology for Deep Learning Accelerators

dMazeRunner: Optimization Infrastructure for Programmable Dataflow Accelerators for Deep Learning

How Your Code Really Controls Hardware

Hardware/Software Co-Design for Efficient Microkernel Execution

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[Tutorial - MICRO 2020] ConfuciuX: Hardware Design-space Exploration via RL and Optimization

[Tutorial - MICRO 2020] ConfuciuX: Hardware Design-space Exploration via RL and Optimization

Introduction to

[MICRO2020] ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators using RL

[MICRO2020] ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators using RL

S .-C. Kao, G Jeong, T Krishna, “

Understanding Reuse, Performance, and Hardware Cost of DNN Dataflows: A Data-Centric Approach

Understanding Reuse, Performance, and Hardware Cost of DNN Dataflows: A Data-Centric Approach

MICRO

Using the CINAHL/MeSH Headings Feature in EBSCOhost - Tutorial

Using the CINAHL/MeSH Headings Feature in EBSCOhost - Tutorial

This

Guest lecture: Hardware Accelerator for DNN part 1

Guest lecture: Hardware Accelerator for DNN part 1

Guest lecture: Hardware Accelerator for DNN part 1

[Tutorial - MICRO 2020] GAMMA: Mapping Space Exploration via Optimization

[Tutorial - MICRO 2020] GAMMA: Mapping Space Exploration via Optimization

... called GAMMA) Presenter: Sheng-Chun (Felix) Kao (Georgia Tech) This talk is recorded for

Guest lecture: Hardware Accelerator for DNN part 2

Guest lecture: Hardware Accelerator for DNN part 2

Guest lecture: Hardware Accelerator for DNN part 2

[ICCAD2020] GAMMA: Automating the HW Mapping of DNN Models on Accelerators via Genetic Algorithm

[ICCAD2020] GAMMA: Automating the HW Mapping of DNN Models on Accelerators via Genetic Algorithm

S.-C. Kao, T Krishna, “GAMMA: Automating the HW Mapping of DNN Models on Accelerators via Genetic Algorithm”, ICCAD,

SuperSlash: Unified Design Space Exploration & Pruning Methodology for Deep Learning Accelerators

SuperSlash: Unified Design Space Exploration & Pruning Methodology for Deep Learning Accelerators

Deploying Deep Learning (DL) models on resource-constrained embedded devices is a challenging task. The limited on-chip ...

dMazeRunner: Optimization Infrastructure for Programmable Dataflow Accelerators for Deep Learning

dMazeRunner: Optimization Infrastructure for Programmable Dataflow Accelerators for Deep Learning

Deep neural networks (DNNs) can be efficiently executed on dataflow accelerators. However, the vast space of executing ...

How Your Code Really Controls Hardware

How Your Code Really Controls Hardware

Practical Notes on Embedded (starts with a

Hardware/Software Co-Design for Efficient Microkernel Execution

Hardware/Software Co-Design for Efficient Microkernel Execution

by Martin Děcký At: FOSDEM 2019 https://video.fosdem.org/2019/AW1.121/hardware_software_co_design.webm While the ...

IOMUX: Automatic Pin Muxing Tool for Hercules MCUs

IOMUX: Automatic Pin Muxing Tool for Hercules MCUs

This video shows how to use the IOMUX automatic pin muxing feature integrated into the HALCoGen GUI startup and driver ...