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 3 months ago
- GVProf: A Value Profiler for GPU-based Clusters☆52Updated last year
- A GPU-accelerated DNN inference serving system that supports instant kernel preemption and biased concurrent execution in GPU scheduling.☆43Updated 3 years ago
- Rebuild YatSenOS On RISC-V 64.☆21Updated 3 years ago
- DISB is a new DNN inference serving benchmark with diverse workloads and models, as well as real-world traces.☆54Updated last year
- High performance RDMA-based distributed feature collection component for training GNN model on EXTREMELY large graph☆55Updated 3 years ago
- ngAP's artifact for ASPLOS'24☆24Updated 2 months ago
- Tacker: Tensor-CUDA Core Kernel Fusion for Improving the GPU Utilization while Ensuring QoS☆31Updated 8 months ago
- Dorylus: Affordable, Scalable, and Accurate GNN Training☆76Updated 4 years ago
- Multi-GPU dynamic scheduler using PGAS style cross-GPU communication☆29Updated 2 years ago
- A memory profiler for NVIDIA GPUs to explore memory inefficiencies in GPU-accelerated applications.☆25Updated 11 months ago
- A framework for pipelined computing on GPU☆29Updated 6 years ago
- Artifact of ASPLOS'23 paper entitled: GRACE: A Scalable Graph-Based Approach to Accelerating Recommendation Model Inference☆19Updated 2 years ago
- ☆36Updated last year
- Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Mult…☆41Updated last year
- GPU Performance Advisor☆65Updated 3 years ago
- A tool for examining GPU scheduling behavior.☆88Updated last year
- Graph Sampling using GPU☆52Updated 3 years ago
- ☆24Updated 3 years ago
- ☆56Updated 4 years ago
- Artifact for USENIX ATC'23: TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs.☆50Updated last year
- Vector search with bounded performance.☆36Updated last year
- Graphiler is a compiler stack built on top of DGL and TorchScript which compiles GNNs defined using user-defined functions (UDFs) into ef…☆59Updated 3 years ago
- ☆29Updated 5 years ago
- ☆18Updated 4 years ago
- A Framework for Graph Sampling and Random Walk on GPUs.☆38Updated 8 months ago
- FGNN's artifact evaluation (EuroSys 2022)☆17Updated 3 years ago
- ☆18Updated 3 years ago
- A pattern-based algorithmic autotuner for graph processing on GPUs.☆31Updated 3 months ago
- A Factored System for Sample-based GNN Training over GPUs☆43Updated 2 years ago