Media Summary: A huge amount has been published about deep neural network Deep neural networks (DNNs) can be efficiently executed on Dennis Abts, Groq Oskar Mencer, Maxeler/Groq May 18, 2022 This talk provides a journey through

Heterogeneous Dataflow Accelerators For Multi - Detailed Analysis & Overview

A huge amount has been published about deep neural network Deep neural networks (DNNs) can be efficiently executed on Dennis Abts, Groq Oskar Mencer, Maxeler/Groq May 18, 2022 This talk provides a journey through ISCA'25: The 52nd International Symposium on Computer Architecture Session 2: Best Paper Nominees Session Chair: Mark Hill ... Speaker: Peipei Zhou, University of Pittsburgh Dense matrix multiply (MM) serves as one of the most heavily used kernels in deep ... SnapStream: Efficient Long Sequence Decoding on

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Heterogeneous Dataflow Accelerators for Multi-DNN Workloads
Does dataflow matter for DNN accelerator performance?
Dataflow Accelerators for DNNs using High-Level Synthesis | Guest Lecture at Georgia Tech
dMazeRunner: Optimization Infrastructure for Programmable Dataflow Accelerators for Deep Learning
Deep Learning Dataflow Accelerators
Stanford Seminar -  Dataflow for convergence of AI and HPC - GroqChip!
ISCA'25 - Session 2 - H2-LLM: Hardware-Dataflow Co-Exploration for Heterogeneous Hybrid-Bonding-base
Procrustes: A Dataflow and Accelerator for Sparse Deep Neural Network Training
CHARM: Composing Heterogeneous AcceleRators for Matrix Multiply on Versal ACAP [Invited]
[Tutorial - MICRO 2020] DNN Dataflows
SnapStream: Efficient Long Sequence Decoding on Dataflow Accelerators
Dataflow Hardware Acceleration of DNNs with High-Level Synthesis | Guest Lecture at Yale University
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Heterogeneous Dataflow Accelerators for Multi-DNN Workloads

Heterogeneous Dataflow Accelerators for Multi-DNN Workloads

DL Compiler Study Paper:

Does dataflow matter for DNN accelerator performance?

Does dataflow matter for DNN accelerator performance?

A huge amount has been published about deep neural network

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

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

Dataflow Accelerators

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

Deep Learning Dataflow Accelerators

Deep Learning Dataflow Accelerators

Deep Learning Dataflow Accelerators

Stanford Seminar -  Dataflow for convergence of AI and HPC - GroqChip!

Stanford Seminar - Dataflow for convergence of AI and HPC - GroqChip!

Dennis Abts, Groq Oskar Mencer, Maxeler/Groq May 18, 2022 This talk provides a journey through

ISCA'25 - Session 2 - H2-LLM: Hardware-Dataflow Co-Exploration for Heterogeneous Hybrid-Bonding-base

ISCA'25 - Session 2 - H2-LLM: Hardware-Dataflow Co-Exploration for Heterogeneous Hybrid-Bonding-base

ISCA'25: The 52nd International Symposium on Computer Architecture Session 2: Best Paper Nominees Session Chair: Mark Hill ...

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

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

MICRO 2020 talk.

CHARM: Composing Heterogeneous AcceleRators for Matrix Multiply on Versal ACAP [Invited]

CHARM: Composing Heterogeneous AcceleRators for Matrix Multiply on Versal ACAP [Invited]

Speaker: Peipei Zhou, University of Pittsburgh Dense matrix multiply (MM) serves as one of the most heavily used kernels in deep ...

[Tutorial - MICRO 2020] DNN Dataflows

[Tutorial - MICRO 2020] DNN Dataflows

Introduction to

SnapStream: Efficient Long Sequence Decoding on Dataflow Accelerators

SnapStream: Efficient Long Sequence Decoding on Dataflow Accelerators

SnapStream: Efficient Long Sequence Decoding on

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

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

Dataflow

ISQED 2021 - Architecture, Dataflow and Physical Design Implications of 3D-ICs for DNN-Accelerators

ISQED 2021 - Architecture, Dataflow and Physical Design Implications of 3D-ICs for DNN-Accelerators

Spatial Mapping ...