Tutorial Micro 2020 Dnn Dataflows

Tutorial Micro 2020 Dnn Dataflows Information Guide

1. Introduction to Tutorial Micro 2020 Dnn Dataflows
2. Main Features
3. Recent Updates
4. Deep Dive
5. Summary

Introduction to Tutorial Micro 2020 Dnn Dataflows

Presenter: Tushar Krishna (Georgia Tech) This talk is recorded for Deep neural networks (DNNs) can be efficiently executed on S .-C. Kao, G Jeong, T Krishna, “ConfuciuX: Autonomous Hardware Resource Assignment for S.-C. Kao, T Krishna, “GAMMA: Automating the HW Mapping of A huge amount has been published about deep neural network accelerator designs, but what parts of the design actually matter? ... and running MAESTRO Presenter: Geonhwa Jeong (Georgia Tech) This talk is recorded for

Enabling the efficient processing of deep neural networks (DNNs) has becoming increasingly important to enable the deployment ...

Main Features

Recent Updates

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

Dataflow-Architecture Co-Design for 2.5D DNN Accelerators using Wireless Network-on-Package

22 DNN Accelerator Dataflow

Sparse Tensor Accelerator Modeling Tutorial @ ISCA 2021 [Part 1] (7/7)

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

Does dataflow matter for DNN accelerator performance?

[Tutorial - MICRO 2020] Compiling and Running MAESTRO

Procrustes: A Dataflow and Accelerator for Sparse Deep Neural Network Training

How to Evaluate Efficient Deep Neural Network Approaches

Deep Dive

Data is compiled from public records and verified media reports.

Last Updated: June 19, 2026

Summary

Disclaimer: Disclaimer: Details estimates are based on publicly available data, media reports, and financial analysis. Actual numbers may vary.