☆49Oct 23, 2026Updated last week
Alternatives and similar repositories for rabbit_order
Users that are interested in rabbit_order are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆44Aug 18, 2019Updated 7 years ago
- Open source code for the GCN training algorithm published in IEEE/IPDPS'19☆11Mar 19, 2022Updated 4 years ago
- Source code for the evaluated benchmarks and proposed cache management technique, GRASP, in [Faldu et al., HPCA'20].☆18Jan 23, 2020Updated 6 years ago
- Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.☆71Mar 2, 2023Updated 3 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…☆59Oct 3, 2022Updated 4 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Artifact for USENIX ATC'23: TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs.☆58Oct 16, 2023Updated 3 years ago
- Source code of the SC '23 paper: "DASP: Specific Dense Matrix Multiply-Accumulate Units Accelerated General Sparse Matrix-Vector Multipli…☆29Jun 18, 2024Updated 2 years ago
- Scaling Graph Processing on HBM-enabled FPGAs with Heterogeneous Pipelines☆21Aug 8, 2022Updated 4 years ago
- A platform to evaluate techniques used in multicore graph processing.☆37Oct 25, 2018Updated 8 years ago
- Implementation of FusedMM method for IPDPS 2021 paper titled "FusedMM: A Unified SDDMM-SpMM Kernel for Graph Embedding and Graph Neural N…☆31Aug 12, 2022Updated 4 years ago
- Edge-centric Graph Processing System using Streaming Partitions☆82Jan 16, 2018Updated 8 years ago
- ☆117Jul 3, 2021Updated 5 years ago
- mini is mini☆20Jan 19, 2020Updated 6 years ago
- Processing-in Memory Architecture for Multiply-Accumulate Operations with Hybrid Memory Cube☆12Feb 13, 2017Updated 9 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Out-of-GPU-Memory Graph Processing with Minimal Data Transfer☆60Nov 15, 2022Updated 3 years ago
- Artifact for PPoPP 2018 paper "Making Pull-Based Graph Processing Performant"☆23Apr 23, 2020Updated 6 years ago
- ☆12Dec 17, 2023Updated 2 years ago
- Artifact for PPoPP22 QGTC: Accelerating Quantized GNN via GPU Tensor Core.☆30Feb 12, 2022Updated 4 years ago
- [HPCA 2022] GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design☆39Mar 30, 2022Updated 4 years ago
- Singular Binarized Neural Network based on GPU Bit Operations (see our SC-19 paper)☆17Dec 9, 2020Updated 5 years ago
- A SSD-based graph processing engine for billion-node graphs☆12Feb 1, 2015Updated 11 years ago
- Sparse kernels for GNNs based on TVM☆17Nov 18, 2020Updated 5 years ago
- Blaze: Fast Graph Processing on Fast SSDs (SC'22)☆11Oct 12, 2022Updated 4 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- G3: A Programmable GNN Training System on GPU☆43Aug 29, 2020Updated 6 years ago
- ☆27Nov 5, 2022Updated 3 years ago
- Unified Sparse Library Wrapper Based on cuSPARSE☆12May 24, 2022Updated 4 years ago
- GNNear: Accelerating Full-Batch Training of Graph NeuralNetworks with Near-Memory Processing☆17Sep 15, 2022Updated 4 years ago
- Graph Sampling using GPU☆52Mar 17, 2022Updated 4 years ago
- A simulation framework for modeling efficiency of Graph Neural Network Dataflows☆24Feb 14, 2025Updated last year
- This is the source code of the 2021 replication for ReScience of the paper "Speedup Graph Processing by Graph Ordering" by Hao Wei, Jeffr…☆12May 31, 2021Updated 5 years ago
- Magicube is a high-performance library for quantized sparse matrix operations (SpMM and SDDMM) of deep learning on Tensor Cores.☆91Nov 23, 2022Updated 3 years ago
- A reading list for deep graph learning acceleration.☆255Jul 26, 2025Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- HLS project modeling various sparse accelerators.☆12Jan 11, 2022Updated 4 years ago
- Codes of the paper "Speeding Up Set Intersections in Graph Algorithms using SIMD Instructions" that was published in SIGMOD 2018. Authors…☆32Jan 23, 2019Updated 7 years ago
- Revitalizing Sparse Matrix-Matrix Multiplication on Tensor Cores with Asynchronous and Balanced Kernel Optimization☆14Jul 16, 2025Updated last year
- ☆49Apr 11, 2025Updated last year
- A Distributed System for GNN Training☆125Sep 29, 2024Updated 2 years ago
- Papers relevant with graph and GPU☆12Jan 1, 2026Updated 10 months ago
- A dataflow architecture for universal graph neural network inference via multi-queue streaming.☆82Dec 19, 2022Updated 3 years ago