22 Dnn Accelerator Dataflow

22 DNN Accelerator Dataflow

22 DNN Accelerator Dataflow

Does dataflow matter for DNN accelerator performance?

A huge amount has been published about deep neural network

[FPGA 2022] Towards Agile DNN Accelerator Design Using Incremental Synthesis on FPGAs

Qingcheng Xiao, Peking University Yun Liang, Peking University Hardware-software co-design is the new trend for deep...

dMazeRunner: Optimization Infrastructure for Programmable Dataflow Accelerators for Deep Learning

Deep neural networks (DNNs) can be efficiently executed on

[CGO '22] Session 4 - Comprehensive Accelerator-Dataflow Co-Design Optimization for Convolutional Ne

Session #4 Title: Comprehensive

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

Robert Guirado presents the paper "

Dataflow Accelerators for DNNs using High-Level Synthesis | Guest Lecture at Georgia Tech

Dataflow Accelerators

[Tutorial - MICRO 2020] DNN Dataflows

Introduction to

[FPGA'22] HeteroFlow: An Accelerator Programming Model with Decoupled Data Placement for FPGAs

Presented by Shaojie Xiang at FPGA2022, online. Abstract: To achieve high performance with FPGA-equipped...

Heterogeneous Dataflow Accelerators for Multi-DNN Workloads

DL Compiler Study Paper: Heterogeneous

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

MICRO 2020 talk.

Software-defined Design Space Exploration for an Efficient DNN Accelerator Architecture

Deep neural networks (DNNs) have been shown to outperform conventional machine learning algorithms across a wide...

Dataflow Hardware Acceleration of DNNs with High-Level Synthesis | Guest Lecture at Yale University

Dataflow