learning1234embed / NeuralWeightVirtualizationLinks
[MobiSys 2020] Fast and Scalable In-memory Deep Multitask Learning via Neural Weight Virtualization
☆15Updated 5 years ago
Alternatives and similar repositories for NeuralWeightVirtualization
Users that are interested in NeuralWeightVirtualization are comparing it to the libraries listed below
Sorting:
- This is a list of awesome edgeAI inference related papers.☆98Updated last year
- ☆78Updated 2 years ago
- A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.☆359Updated last year
- Source code for the paper: "A Latency-Predictable Multi-Dimensional Optimization Framework forDNN-driven Autonomous Systems"☆22Updated 4 years ago
- ☆208Updated last year
- PyTorch implementation for the APoT quantization (ICLR 2020)☆278Updated 10 months ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆281Updated last year
- [MLSys 2021] IOS: Inter-Operator Scheduler for CNN Acceleration☆199Updated 3 years ago
- Neural Network Quantization & Low-Bit Fixed Point Training For Hardware-Friendly Algorithm Design☆160Updated 4 years ago
- [ICLR 2021] HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark☆113Updated 2 years ago
- ☆86Updated last month
- Experimental deep learning framework written in Rust☆15Updated 2 years ago
- [CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision☆396Updated 4 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆98Updated 4 years ago
- Quantization of Convolutional Neural networks.☆243Updated last year
- Cache design for CNN on mobile☆34Updated 7 years ago
- Official implementation for ECCV 2022 paper LIMPQ - "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance"☆62Updated 2 years ago
- Any-Precision Deep Neural Networks (AAAI 2021)☆61Updated 5 years ago
- A pytorch implementation of DoReFa-Net☆132Updated 5 years ago
- [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization☆94Updated 3 years ago
- ☆20Updated 5 years ago
- Prune DNN using Alternating Direction Method of Multipliers (ADMM)☆99Updated 5 years ago
- zTT: Learning-based DVFS with Zero Thermal Throttling for Mobile Devices [MobiSys'21] - Artifact Evaluation☆26Updated 4 years ago
- The open-source project for "Mandheling: Mixed-Precision On-Device DNN Training with DSP Offloading"[MobiCom'2022]☆19Updated 3 years ago
- Official PyTorch Implementation of HELP: Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning (NeurIPS 2021 Spotlight…☆63Updated last year
- MobiSys#114☆22Updated 2 years ago
- Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.☆450Updated 2 years ago
- ☆36Updated 6 years ago
- Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks☆68Updated 3 years ago
- The code for paper: Neuralpower: Predict and deploy energy-efficient convolutional neural networks☆21Updated 6 years ago