hku-systems / naspipe
☆14Updated 3 years ago
Alternatives and similar repositories for naspipe:
Users that are interested in naspipe are comparing it to the libraries listed below
- ☆24Updated 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…☆25Updated 2 years ago
- ☆37Updated 3 years ago
- A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup☆34Updated 2 years ago
- ☆19Updated 2 years ago
- DISB is a new DNN inference serving benchmark with diverse workloads and models, as well as real-world traces.☆52Updated 7 months ago
- Artifacts for our ASPLOS'23 paper ElasticFlow☆51Updated 11 months ago
- ☆14Updated 2 years ago
- Proteus: A High-Throughput Inference-Serving System with Accuracy Scaling☆10Updated last year
- ☆12Updated 2 years ago
- ☆53Updated 4 years ago
- SOTA Learning-augmented Systems☆36Updated 2 years ago
- Artifact for "Apparate: Rethinking Early Exits to Tame Latency-Throughput Tensions in ML Serving" [SOSP '24]☆23Updated 4 months ago
- Open-source implementation for "Helix: Serving Large Language Models over Heterogeneous GPUs and Network via Max-Flow"☆37Updated 4 months ago
- Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Mult…☆40Updated last year
- Supplemental materials for The ASPLOS 2025 / EuroSys 2025 Contest on Intra-Operator Parallelism for Distributed Deep Learning☆23Updated 4 months ago
- ☆23Updated 2 years ago
- Official repository for the paper DynaPipe: Optimizing Multi-task Training through Dynamic Pipelines☆17Updated last year
- FGNN's artifact evaluation (EuroSys 2022)☆17Updated 2 years ago
- ☆20Updated 3 years ago
- ☆49Updated 2 years ago
- Hi-Speed DNN Training with Espresso: Unleashing the Full Potential of Gradient Compression with Near-Optimal Usage Strategies (EuroSys '2…☆15Updated last year
- Artifacts for our SIGCOMM'22 paper Muri☆41Updated last year
- Compiler for Dynamic Neural Networks☆45Updated last year
- Dorylus: Affordable, Scalable, and Accurate GNN Training☆77Updated 3 years ago
- Official resporitory for "IPDPS' 24 QSync: Quantization-Minimized Synchronous Distributed Training Across Hybrid Devices".☆19Updated last year
- Tacker: Tensor-CUDA Core Kernel Fusion for Improving the GPU Utilization while Ensuring QoS☆25Updated 2 months ago
- ☆23Updated last year
- Source code for the paper: "A Latency-Predictable Multi-Dimensional Optimization Framework forDNN-driven Autonomous Systems"☆22Updated 4 years ago
- ☆32Updated 10 months ago