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Challenges in Acceleration of Transformers on Dataflow Architecture | Mark Grobman
Understanding Reuse, Performance, and Hardware Cost of DNN Dataflows: A Data-Centric Approach
Dataflow-Architecture Co-Design for 2.5D DNN Accelerators using Wireless Network-on-Package
[FPGA'22] HeteroFlow: An Accelerator Programming Model with Decoupled Data Placement for FPGAs
Heterogeneous Dataflow Accelerators for Multi-DNN Workloads
Software-defined Design Space Exploration for an Efficient DNN Accelerator Architecture
Reconfigurable Dataflow Systems for Accelerating Machine Learning and HPC
Procrustes: A Dataflow and Accelerator for Sparse Deep Neural Network Training
Stanford Seminar - Dataflow for convergence of AI and HPC - GroqChip!
NOCS 2021 - NEWROMAP: Mapping CNNs to Self-contained Data-flow Accelerators for Edge-AI
Dataflow in ASIC hardware accelerators
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Last Updated: October 1, 2026
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A huge amount has been published about deep neural network AI On Chip 2023 Technion Sarona Campus, Tel Aviv. MICRO 2019 Lightning Talk: Understanding Reuse, Robert Guirado presents the paper " Presented by Shaojie Xiang at FPGA2022, online. Abstract: To achieve high DL Compiler Study Paper: Heterogeneous Deep neural networks (DNNs) have been shown to outperform conventional machine learning algorithms across a wide range of ... SDSC Industry Partners Program (IPP) Technology Forum with SambaNova Systems For more IPP events, please visit: ... Dennis Abts, Groq Oskar Mencer, Maxeler/Groq May 18, 2022 This talk provides a journey through Our presentation at NOCS 2021. Please also the paper: dl.acm.org/doi/abs/10.1145/3479876.3481591 A citation ... Presenter Shreyas Ravishankar AI Hardware Researcher AI Lab.
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