jasperzhong / read-papers-and-code
My paper/code reading notes in Chinese
☆46Updated 8 months ago
Alternatives and similar repositories for read-papers-and-code:
Users that are interested in read-papers-and-code are comparing it to the libraries listed below
- DISB is a new DNN inference serving benchmark with diverse workloads and models, as well as real-world traces.☆53Updated 5 months ago
- FGNN's artifact evaluation (EuroSys 2022)☆17Updated 2 years ago
- A GPU-accelerated DNN inference serving system that supports instant kernel preemption and biased concurrent execution in GPU scheduling.☆40Updated 2 years ago
- High performance RDMA-based distributed feature collection component for training GNN model on EXTREMELY large graph☆49Updated 2 years ago
- Adaptive Message Quantization and Parallelization for Distributed Full-graph GNN Training☆22Updated 11 months ago
- Graphiler is a compiler stack built on top of DGL and TorchScript which compiles GNNs defined using user-defined functions (UDFs) into ef…☆61Updated 2 years ago
- A Factored System for Sample-based GNN Training over GPUs☆42Updated last year
- SOTA Learning-augmented Systems☆34Updated 2 years ago
- Seminar on selected tools in Computer Science☆24Updated 4 years ago
- Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.☆64Updated last year
- Dorylus: Affordable, Scalable, and Accurate GNN Training☆77Updated 3 years ago
- PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications☆127Updated 2 years ago
- Graph Sampling using GPU☆51Updated 2 years ago
- ☆16Updated 2 years ago
- Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Mult…☆38Updated 10 months ago
- REEF is a GPU-accelerated DNN inference serving system that enables instant kernel preemption and biased concurrent execution in GPU sche…☆90Updated 2 years ago
- Official resporitory for "IPDPS' 24 QSync: Quantization-Minimized Synchronous Distributed Training Across Hybrid Devices".☆19Updated 11 months ago
- ☆23Updated last year
- PET: Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections☆117Updated 2 years ago
- ☆53Updated 4 years ago
- Stateful LLM Serving☆46Updated 6 months ago
- An Efficient Pipelined Data Parallel Approach for Training Large Model☆73Updated 4 years ago
- PetPS: Supporting Huge Embedding Models with Tiered Memory☆30Updated 8 months ago
- Analysis for the traces from byteprofile☆30Updated last year
- ☆73Updated 3 years ago
- Artifacts for our ASPLOS'23 paper ElasticFlow☆53Updated 9 months ago
- A high-performance distributed deep learning system targeting large-scale and automated distributed training. If you have any interests, …☆107Updated last year
- ☆14Updated 2 years ago
- Artifact of OSDI '24 paper, ”Llumnix: Dynamic Scheduling for Large Language Model Serving“☆60Updated 8 months ago
- Tacker: Tensor-CUDA Core Kernel Fusion for Improving the GPU Utilization while Ensuring QoS☆19Updated this week