chhzh123 / KrillLinks
An efficient concurrent graph processing system
☆46Updated 3 years ago
Alternatives and similar repositories for Krill
Users that are interested in Krill are comparing it to the libraries listed below
Sorting:
- My paper/code reading notes in Chinese☆46Updated last month
- High performance RDMA-based distributed feature collection component for training GNN model on EXTREMELY large graph☆54Updated 3 years ago
- A GPU-accelerated DNN inference serving system that supports instant kernel preemption and biased concurrent execution in GPU scheduling.☆42Updated 3 years ago
- Graph Sampling using GPU☆52Updated 3 years ago
- Dorylus: Affordable, Scalable, and Accurate GNN Training☆76Updated 4 years ago
- GVProf: A Value Profiler for GPU-based Clusters☆51Updated last year
- Artifact of ASPLOS'23 paper entitled: GRACE: A Scalable Graph-Based Approach to Accelerating Recommendation Model Inference☆18Updated 2 years ago
- Tacker: Tensor-CUDA Core Kernel Fusion for Improving the GPU Utilization while Ensuring QoS☆31Updated 5 months ago
- FlashMob is a shared-memory random walk system.☆32Updated 2 years ago
- ☆19Updated 5 years ago
- ☆36Updated last year
- Out-of-GPU-Memory Graph Processing with Minimal Data Transfer☆55Updated 2 years ago
- Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.☆66Updated 2 years ago
- ngAP's artifact for ASPLOS'24☆24Updated this week
- Artifact for USENIX ATC'23: TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs.☆49Updated last year
- Graph Pattern Mining☆89Updated 10 months ago
- DISB is a new DNN inference serving benchmark with diverse workloads and models, as well as real-world traces.☆53Updated 11 months ago
- ☆30Updated last year
- A Framework for Graph Sampling and Random Walk on GPUs.☆38Updated 6 months ago
- A Factored System for Sample-based GNN Training over GPUs☆42Updated 2 years ago
- A framework for pipelined computing on GPU☆29Updated 6 years ago
- ☆46Updated 2 years ago
- ☆16Updated 2 years ago
- Multi-GPU dynamic scheduler using PGAS style cross-GPU communication☆29Updated 2 years ago
- Graphiler is a compiler stack built on top of DGL and TorchScript which compiles GNNs defined using user-defined functions (UDFs) into ef…☆59Updated 2 years ago
- Papers on Graph Analytics, Mining, and Learning☆125Updated 2 years ago
- Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Mult…☆40Updated last year
- ☆70Updated 4 years ago
- ☆18Updated 4 years ago
- Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture (accepted by PVLDB)☆44Updated 2 years ago