weihai-98 / A-2QLinks
☆11Updated 2 years ago
Alternatives and similar repositories for A-2Q
Users that are interested in A-2Q are comparing it to the libraries listed below
Sorting:
- [HPCA 2022] GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design☆36Updated 3 years ago
- [Mlsys'22] Understanding gnn computational graph: A coordinated computation, io, and memory perspective☆22Updated 2 years ago
- [MLSys 2022] "BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node …☆56Updated 2 years ago
- Codebase for ICML'24 paper: Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs☆27Updated last year
- Polynormer: Polynomial-Expressive Graph Transformer in Linear Time (ICLR'24)☆42Updated last year
- An end-to-end GCN inference accelerator written in HLS☆18Updated 3 years ago
- GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks☆36Updated 2 years ago
- Artifact for USENIX ATC'23: TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs.☆51Updated 2 years ago
- [FPGA 2020] Open sourced implementation for the ACM/SIGDA FPGA '20 paper titled "GraphACT: Accelerating GCN Training on CPU-FPGA Heteroge…☆17Updated 4 years ago
- [DATE'23] The official code for paper <CLAP: Locality Aware and Parallel Triangle Counting with Content Addressable Memory>☆23Updated last week
- Graph Learning at Scale: Characterizing and Optimizing Pre-Propagation GNNs (MLSys'25)☆17Updated 7 months ago
- A reading list for deep graph learning acceleration.☆256Updated 3 months ago
- ☆36Updated 3 years ago
- This repo is to collect the state-of-the-art GNN hardware acceleration paper☆54Updated 4 years ago
- ☆10Updated 3 years ago
- [PACT'24] GraNNDis. A fast and unified distributed graph neural network (GNN) training framework for both full-batch (full-graph) and min…☆10Updated last year
- ☆111Updated 4 years ago
- Implementation of "Binary Graph Convolutional Network", CVPR 2021, and TPAMI 2024.☆26Updated last year
- Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Mult…☆40Updated last year
- Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"☆40Updated 4 years ago
- Scaling Graph Processing on HBM-enabled FPGAs with Heterogeneous Pipelines☆22Updated 3 years ago
- [ASAP 2020; FPGA 2020] Hardware architecture to accelerate GNNs (common IP modules for minibatch training and full batch inference)☆41Updated 4 years ago
- This is a general-purpose simulator for unary computing based on PyTorch, with the paper accepted to ISCA 2020 and awarded IEEE Micro Top…☆44Updated 3 months ago
- NATSA is the first near-data-processing accelerator for time series analysis based on the Matrix Profile (SCRIMP) algorithm. NATSA exploi…☆16Updated 2 years ago
- ViTALiTy (HPCA'23) Code Repository☆23Updated 2 years ago
- UniSparse: An Intermediate Language for General Sparse Format Customization (OOPSLA'24)☆32Updated last year
- ☆15Updated 2 years ago
- ☆35Updated 5 years ago
- ☆10Updated 8 months ago
- QuickEst repository: Quick Estimation of Quality of Results☆26Updated 7 years ago