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A simple network quantization demo using pytorch from scratch.
The codes and artifacts associated with our MICRO'22 paper titled: "Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design"
Deep SNNs with various neural coding methods (rate, phase, burst, TTFS)
Energy-Efficient Inference Accelerator for Memory-Augmented Neural Networks on an FPGA (DATE-19)
A small Neural Network Processor for Edge devices.
A curated list of Computer Architecture and Systems resources
EE552 Asynchronous VLSI Design, Prof Peter A. Beerel, Co-Author Daya Chou
Hardware and software implementation of Sparsely-active SNNs
Asynchronous Spiking Neural Network Accelerator. Project from EE552-Asynchronous VLSI Design.
Spiking Neural Network Accelerator
Individual Study in Computer Architecture and Systems Laboratory (CASYS) with Prof.Jaehyuk Huh in 2021 Summer
A CNN accelerator based on Eyeriss architecture
Deep Learning Accelerator (Convolution Neural Networks)
An Eyeriss Chip (researched by MIT, a CNN accelerator) simulator and New DNN framework "Hive"
Convolutional accelerator kernel, target ASIC & FPGA
hardware design of universal NPU(CNN accelerator) for various convolution neural network
2023集创赛国二。基于脉动阵列写的一个简单的卷积层加速器，支持yolov3-tiny的第一层卷积层计算，可根据FPGA端DSP资源灵活调整脉动阵列的结构以实现不同的计算效率。
Research and Materials on Hardware implementation of Transformer Model
My name is Fang Biao. I'm currently pursuing my Master degree with the college of Computer Science and Engineering, Si Chuan University, Cheng Du, China. For more informantion about me and my resea…
Code for the ISCAS23 paper "The Hardware Impact of Quantization and Pruning for Weights in Spiking Neural Networks"
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Example code for Understanding Computation
Repository collecting papers about neuromorphic hardware, such as ASIC and FPGA implementations of SNNs and stuff.
OpenDLA / OpenDLA
Forked from silicontalks01/OpenDLAA discussion group on Open Source Deep Learning Accelerator, with technical reports and potential hardware/software issues.