jaewonalive / PeerAiDLinks
☆21Updated last year
Alternatives and similar repositories for PeerAiD
Users that are interested in PeerAiD are comparing it to the libraries listed below
Sorting:
- Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples [NeurIPS 2021]☆32Updated 3 years ago
- [DATE 2023] Pipe-BD: Pipelined Parallel Blockwise Distillation☆11Updated last year
- [ASPLOS'23] Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware Communication Compression☆6Updated 9 months ago
- ☆24Updated 6 months ago
- ☆11Updated last month
- Sharing the codebase and steps for artifact evaluation/reproduction for MICRO 2024 paper☆9Updated 9 months ago
- Official Implementation of "Genie: Show Me the Data for Quantization" (CVPR 2023)☆19Updated 2 years ago
- [ICLR 2022] "PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication" by Cheng Wan, Y…☆33Updated 2 years ago
- Codebase for ICML'24 paper: Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs☆26Updated 11 months ago
- [HPCA'24] Smart-Infinity: Fast Large Language Model Training using Near-Storage Processing on a Real System☆45Updated last year
- Ok-Topk is a scheme for distributed training with sparse gradients. Ok-Topk integrates a novel sparse allreduce algorithm (less than 6k c…☆26Updated 2 years ago
- BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)☆40Updated 4 years ago
- [HPCA 2022] GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design☆37Updated 3 years ago
- It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher [CVPR 2022 Oral]☆29Updated 2 years ago
- ☆47Updated last year
- ☆9Updated 3 years ago
- [NeurIPS 2021] "Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks" by Yon…☆13Updated 3 years ago
- This repo contains the code for studying the interplay between quantization and sparsity methods☆19Updated 3 months ago
- Create tiny ML systems for on-device learning.☆20Updated 3 years ago
- ☆14Updated last year
- Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…☆62Updated last year
- ☆9Updated 2 years ago
- ☆14Updated 3 years ago
- Tender: Accelerating Large Language Models via Tensor Decompostion and Runtime Requantization (ISCA'24)☆16Updated 11 months ago
- ☆8Updated 3 years ago
- [ICML 2021] "Double-Win Quant: Aggressively Winning Robustness of Quantized DeepNeural Networks via Random Precision Training and Inferen…☆13Updated 3 years ago
- ☆10Updated 7 months ago
- [Mlsys'22] Understanding gnn computational graph: A coordinated computation, io, and memory perspective☆19Updated last year
- A curated list of early exiting (LLM, CV, NLP, etc)☆53Updated 9 months ago
- ☆10Updated last year