SophiaLi06 / BytePS_THCLinks
THC: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression
☆19Updated last year
Alternatives and similar repositories for BytePS_THC
Users that are interested in BytePS_THC are comparing it to the libraries listed below
Sorting:
- A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup☆35Updated 2 years ago
- Hi-Speed DNN Training with Espresso: Unleashing the Full Potential of Gradient Compression with Near-Optimal Usage Strategies (EuroSys '2…☆15Updated 2 years ago
- [TBD] "m4: A Learned Flow-level Network Simulator" by Chenning Li, Anton A. Zabreyko, Arash Nasr-Esfahany, Kevin Zhao, Prateesh Goyal, Mo…☆15Updated 2 weeks ago
- Managed collective communication service☆22Updated last year
- Open-source implementation for "Helix: Serving Large Language Models over Heterogeneous GPUs and Network via Max-Flow"☆67Updated 10 months ago
- ☆17Updated last year
- ☆58Updated last year
- ☆40Updated last year
- [ACM SIGCOMM 2024] "m3: Accurate Flow-Level Performance Estimation using Machine Learning" by Chenning Li, Arash Nasr-Esfahany, Kevin Zha…☆24Updated last year
- Artifacts for our SIGCOMM'22 paper Muri☆43Updated last year
- [NSDI 2023] TopoOpt: Optimizing the Network Topology for Distributed DNN Training☆32Updated last year
- ☆83Updated 3 years ago
- ☆25Updated last year
- ☆10Updated 3 months ago
- ☆44Updated last year
- LLM serving cluster simulator☆115Updated last year
- TACCL: Guiding Collective Algorithm Synthesis using Communication Sketches☆75Updated 2 years ago
- Ok-Topk is a scheme for distributed training with sparse gradients. Ok-Topk integrates a novel sparse allreduce algorithm (less than 6k c…☆27Updated 2 years ago
- GPU-accelerated LLM Training Simulator☆36Updated 3 months ago
- AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)☆87Updated 2 years ago
- A resilient distributed training framework☆95Updated last year
- ☆23Updated 5 months ago
- [ASPLOS'25] Towards End-to-End Optimization of LLM-based Applications with Ayo☆43Updated 2 months ago
- A ChatGPT(GPT-3.5) & GPT-4 Workload Trace to Optimize LLM Serving Systems☆207Updated 2 months ago
- Proteus: A High-Throughput Inference-Serving System with Accuracy Scaling☆13Updated last year
- ☆68Updated 2 years ago
- ☆23Updated last year
- Artifact for "Apparate: Rethinking Early Exits to Tame Latency-Throughput Tensions in ML Serving" [SOSP '24]☆25Updated 10 months ago
- ☆51Updated 2 years ago
- ☆16Updated last year