☆12Mar 14, 2023Updated 3 years ago
Alternatives and similar repositories for 376-HyGCN-A-GCN-Accelerator-with-Hybrid-Architecture
Users that are interested in 376-HyGCN-A-GCN-Accelerator-with-Hybrid-Architecture are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [HPCA 2022] GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design☆38Mar 30, 2022Updated 4 years ago
- NeuraChip Accelerator Simulator☆16Apr 26, 2024Updated 2 years ago
- 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
- Implementation of paper "GraphACT: Accelerating GCN Training on CPU-FPGA Heterogeneous Platform".☆12Jun 25, 2020Updated 6 years ago
- An accelerator for high-dimensional approximate nearest neighbor search☆15May 17, 2025Updated last year
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- SGQuant: Squeezing the Last Bit on Graph Neural Networks with Specialized Quantization☆11Aug 12, 2020Updated 5 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 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
- Graph accelerator on FPGAs and ASICs☆11Aug 16, 2018Updated 7 years ago
- HLS project modeling various sparse accelerators.☆12Jan 11, 2022Updated 4 years ago
- ☆23Dec 27, 2023Updated 2 years ago
- ☆37Jan 20, 2022Updated 4 years ago
- [ISCA'25] LIA: A Single-GPU LLM Inference Acceleration with Cooperative AMX-Enabled CPU-GPU Computation and CXL Offloading☆13Jun 28, 2025Updated last year
- A dataflow architecture for universal graph neural network inference via multi-queue streaming.☆78Dec 19, 2022Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆35Nov 6, 2024Updated last year
- A general framework for optimizing DNN dataflow on systolic array☆40Jan 2, 2021Updated 5 years ago
- Processing-in Memory Architecture for Multiply-Accumulate Operations with Hybrid Memory Cube☆12Feb 13, 2017Updated 9 years ago
- An HBM FPGA based SpMV Accelerator☆19Aug 29, 2024Updated last year
- The simulator for SPADA, an SpGEMM accelerator with adaptive dataflow☆47Jan 26, 2023Updated 3 years ago
- ☆22Jun 4, 2023Updated 3 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
- [FPGA 2020] Open sourced implementation for the ACM/SIGDA FPGA '20 paper titled "GraphACT: Accelerating GCN Training on CPU-FPGA Heteroge…☆19Mar 6, 2021Updated 5 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Hybrid Memory Cube Simulation & Research Infrastructure☆18Jun 9, 2025Updated last year
- [TECS'23] A project on the co-design of Accelerators and CNNs.☆22Dec 10, 2022Updated 3 years ago
- CasHMC: A Cycle-accurate Simulator for Hybrid Memory Cube☆24Aug 10, 2018Updated 7 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
- A reading list for deep graph learning acceleration.☆253Jul 26, 2025Updated last year
- SparseP is the first open-source Sparse Matrix Vector Multiplication (SpMV) software package for real-world Processing-In-Memory (PIM) ar…☆80Jun 29, 2022Updated 4 years ago
- A comprehensive content-addressable accelerator simulation framework.☆22Apr 16, 2026Updated 3 months ago
- Papers on Graph Analytics, Mining, and Learning☆128Aug 15, 2022Updated 3 years ago
- Systolic Three Matrix Multiplier for Graph Convolutional Networks using High Level Synthesis☆24Jul 29, 2022Updated 4 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆18Feb 13, 2021Updated 5 years ago
- A simulation framework for modeling efficiency of Graph Neural Network Dataflows☆24Feb 14, 2025Updated last year
- A Full-System Framework for Simulating NDP devices from Caches to DRAM☆21Jan 12, 2024Updated 2 years ago
- A simple cycle-accurate DaDianNao simulator☆13Mar 27, 2019Updated 7 years ago
- Dijkstra's Algorithm implemented in C/C++ using standard C, OpenMP and CUDA☆13Dec 12, 2015Updated 10 years ago
- A PyTorch implementation of Parameter-sharing Capsule Network based on the paper "Evaluating Generalization Ability of Convolutional Neur…☆16Jan 15, 2022Updated 4 years ago
- MultiscaleGraphSignalTransforms.jl is a collection of software tools written in the Julia programming language for graph signal processin…☆12Mar 15, 2026Updated 4 months ago