RulinShao / FastCkptLinks
Python package for rematerialization-aware gradient checkpointing
☆25Updated last year
Alternatives and similar repositories for FastCkpt
Users that are interested in FastCkpt are comparing it to the libraries listed below
Sorting:
- ☆74Updated 4 years ago
- (NeurIPS 2022) Automatically finding good model-parallel strategies, especially for complex models and clusters.☆39Updated 2 years ago
- ☆84Updated 3 years ago
- Official repository for DistFlashAttn: Distributed Memory-efficient Attention for Long-context LLMs Training☆210Updated 10 months ago
- ☆39Updated last year
- PyTorch implementation of paper "Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline".☆88Updated 2 years ago
- ☆27Updated 3 years ago
- ☆94Updated 2 years ago
- Memory footprint reduction for transformer models☆11Updated 2 years ago
- Stateful LLM Serving☆73Updated 3 months ago
- ☆105Updated 9 months ago
- Best practices for testing advanced Mixtral, DeepSeek, and Qwen series MoE models using Megatron Core MoE.☆21Updated 2 weeks ago
- Supplemental materials for The ASPLOS 2025 / EuroSys 2025 Contest on Intra-Operator Parallelism for Distributed Deep Learning☆23Updated last month
- A resilient distributed training framework☆95Updated last year
- PyTorch bindings for CUTLASS grouped GEMM.☆99Updated 3 weeks ago
- Odysseus: Playground of LLM Sequence Parallelism☆70Updated last year
- Vocabulary Parallelism☆19Updated 3 months ago
- FTPipe and related pipeline model parallelism research.☆41Updated 2 years ago
- A simple calculation for LLM MFU.☆38Updated 3 months ago
- ☆62Updated last year
- nnScaler: Compiling DNN models for Parallel Training☆113Updated this week
- Triton-based implementation of Sparse Mixture of Experts.☆219Updated 6 months ago
- ☆103Updated 7 months ago
- Artifact for "Apparate: Rethinking Early Exits to Tame Latency-Throughput Tensions in ML Serving" [SOSP '24]☆25Updated 7 months ago
- Chimera: bidirectional pipeline parallelism for efficiently training large-scale models.☆66Updated 3 months ago
- ☆81Updated 7 months ago
- Boosting 4-bit inference kernels with 2:4 Sparsity☆79Updated 9 months ago
- ☆30Updated last month
- ☆52Updated 6 months ago
- Scalable long-context LLM decoding that leverages sparsity—by treating the KV cache as a vector storage system.☆52Updated last week