[FPGA 2020] Open sourced implementation for the ACM/SIGDA FPGA '20 paper titled "GraphACT: Accelerating GCN Training on CPU-FPGA Heterogeneous Platforms"
☆19Mar 6, 2021Updated 5 years ago
Alternatives and similar repositories for GraphACT
Users that are interested in GraphACT are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- NATSA is the first near-data-processing accelerator for time series analysis based on the Matrix Profile (SCRIMP) algorithm. NATSA exploi…☆16Jun 14, 2023Updated 3 years ago
- Implementation of paper "GraphACT: Accelerating GCN Training on CPU-FPGA Heterogeneous Platform".☆12Jun 25, 2020Updated 6 years ago
- Graph accelerator on FPGAs and ASICs☆11Aug 16, 2018Updated 7 years ago
- ☆14Apr 8, 2025Updated last year
- HLS project modeling various sparse accelerators.☆12Jan 11, 2022Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- [HPCA 2022] GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design☆38Mar 30, 2022Updated 4 years ago
- A Dataflow library for graph analytics acceleration☆14Dec 15, 2015Updated 10 years ago
- [ASAP 2020; FPGA 2020] Hardware architecture to accelerate GNNs (common IP modules for minibatch training and full batch inference)☆43Mar 30, 2021Updated 5 years ago
- An HBM FPGA based SpMV Accelerator☆19Aug 29, 2024Updated last year
- An end-to-end GCN inference accelerator written in HLS☆18Apr 5, 2022Updated 4 years ago
- SGQuant: Squeezing the Last Bit on Graph Neural Networks with Specialized Quantization☆11Aug 12, 2020Updated 5 years ago
- An Automated Framework for Generic Graph Neural Network Accelerator Generation, Simulation, and Optimization☆25Nov 8, 2024Updated last year
- ☆12Mar 14, 2023Updated 3 years ago
- [TRETS'23, FPT'20] CHIP-KNN: Configurable and HIgh-Performance K-Nearest Neighbors Accelerator on Cloud FPGAs☆19Apr 9, 2024Updated 2 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆49Apr 11, 2025Updated last year
- ☆13Aug 1, 2024Updated last year
- [FPGA-2022] N3H-Core: Neuron-designed Neural Network Accelerator via FPGA-based Heterogeneous Computing Cores☆11Dec 16, 2021Updated 4 years ago
- GNNear: Accelerating Full-Batch Training of Graph NeuralNetworks with Near-Memory Processing☆17Sep 15, 2022Updated 3 years ago
- pLUTo is a DRAM-based Processing-using-Memory architecture that leverages the high density of DRAM to enable the massively parallel stori…☆20Jan 12, 2023Updated 3 years ago
- ☆30Oct 4, 2017Updated 8 years ago
- [ICLR 2022] "PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication" by Cheng Wan, Y…☆34Mar 15, 2023Updated 3 years ago
- The programming runtime and interfaces for ARENA.☆14Sep 14, 2021Updated 4 years ago
- FPGA acceleration of arbitrary precision floating point computations.☆41May 17, 2022Updated 4 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- including compiler to encode DGL GNN model to instructions, runtime software to transfer data and control the accelerator, and hardware v…☆14Nov 19, 2023Updated 2 years ago
- ☆11Jan 25, 2023Updated 3 years ago
- MAERI: A DNN accelerator with reconfigurable interconnects to support flexible dataflow (http://synergy.ece.gatech.edu/tools/maeri/)☆67Sep 24, 2021Updated 4 years ago
- ☆16Apr 10, 2023Updated 3 years ago
- An FPGA accelerator for general-purpose Sparse-Matrix Dense-Matrix Multiplication (SpMM).☆95Jul 26, 2024Updated last year
- ☆69Jun 16, 2021Updated 5 years ago
- Release of stream-specialization software/hardware stack.☆126May 5, 2023Updated 3 years ago
- Graph Sampling using GPU☆52Mar 17, 2022Updated 4 years ago
- A dataflow architecture for universal graph neural network inference via multi-queue streaming.☆78Dec 19, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆115Jul 3, 2021Updated 5 years ago
- DOSA: Differentiable Model-Based One-Loop Search for DNN Accelerators☆19Oct 10, 2024Updated last year
- ☆48Aug 23, 2021Updated 4 years ago
- An accelerator for high-dimensional approximate nearest neighbor search☆15May 17, 2025Updated last year
- NeuroSpector: Dataflow and Mapping Optimizer for Deep Neural Network Accelerators☆23Mar 20, 2025Updated last year
- DAC'22 paper: "Automated Accelerator Optimization Aided by Graph Neural Networks"☆41Oct 3, 2023Updated 2 years ago
- Includes the SVD-based approximation algorithms for compressing deep learning models and the FPGA accelerators exploiting such approximat…☆17Mar 3, 2023Updated 3 years ago