Architectural Implications of Neural Network Inference for High Data-Rate, Low-Latency Scientific Applications

13 March 2024

Papers citing "Architectural Implications of Neural Network Inference for High Data-Rate, Low-Latency Scientific Applications"

4 / 4 papers shown

Title
CGRA4ML: A Framework to Implement Modern Neural Networks for Scientific Edge Computing G. Abarajithan Zhenghua Ma Zepeng Li Shrideep Koparkar Ravidu Munasinghe Francesco Restuccia Ryan Kastner 45 1 0 28 Aug 2024
Reliable edge machine learning hardware for scientific applications Tommaso Baldi Javier Campos B. Hawks J. Ngadiuba Nhan Tran ... Michael W. Mahoney Vladimir Loncar Philip C. Harris Joshua C. Agar Shuyu Qin 48 0 0 27 Jun 2024
Open-source FPGA-ML codesign for the MLPerf Tiny Benchmark H. Borras G. D. Guglielmo Javier Mauricio Duarte Nicolò Ghielmetti B. Hawks ... Nhan Tran Yaman Umuroglu Olivia Weng Aidan Yokuda Michaela Blott VLM MQ 37 14 0 23 Jun 2022
Fast inference of deep neural networks in FPGAs for particle physics Javier Mauricio Duarte Song Han Philip C. Harris S. Jindariani E. Kreinar ... J. Ngadiuba M. Pierini R. Rivera N. Tran Zhenbin Wu AI4CE 88 389 0 16 Apr 2018