Integrating NVIDIA Deep Learning Accelerator (NVDLA) with RISC-V SoC on FireSim-Reference-Cited by-同舟云学术

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Integrating NVIDIA Deep Learning Accelerator (NVDLA) with RISC-V SoC on FireSim

Published:2019-02 Issue: Volume: Page:
ISSN:
Container-title:2019 2nd Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications (EMC2)
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Author:

Farshchi Farzad,Huang Qijing,Yun Heechul

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9022708/9027210/09027215.pdf?arnumber=9027215

Cited by 36 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. FPGA-assisted Design Space Exploration of Parameterized AI Accelerators: A Quickloop Approach;Journal of Systems Architecture;2024-10

2. Fixed-point Encoding and Architecture Exploration for Residue Number Systems;ACM Transactions on Architecture and Code Optimization;2024-09-14

3. gem5-NVDLA: A Simulation Framework for Compiling, Scheduling, and Architecture Evaluation on AI System-on-Chips;ACM Transactions on Design Automation of Electronic Systems;2024-09-04

4. A Compilation Framework for SRAM Computing-in-Memory Systems With Optimized Weight Mapping and Error Correction;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2024-08

5. Factored Systolic Arrays Based on Radix-8 Multiplication for Machine Learning Acceleration;IEEE Transactions on Very Large Scale Integration (VLSI) Systems;2024-07

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