spcl / arrow-matrixLinks
Arrow Matrix Decomposition - Communication-Efficient Distributed Sparse Matrix Multiplication
☆16Updated last year
Alternatives and similar repositories for arrow-matrix
Users that are interested in arrow-matrix are comparing it to the libraries listed below
Sorting:
- A novel spatial accelerator for horizontal diffusion weather stencil computation, as described in ICS 2023 paper by Singh et al. (https:/…☆19Updated last year
- Code base for OOPSLA'24 paper: UniSparse: An Intermediate Language for General Sparse Format Customization☆30Updated 7 months ago
- ☆31Updated 3 years ago
- Implementation of FusedMM method for IPDPS 2021 paper titled "FusedMM: A Unified SDDMM-SpMM Kernel for Graph Embedding and Graph Neural N…☆31Updated 2 years ago
- A Framework for Graph Sampling and Random Walk on GPUs.☆39Updated 4 months ago
- Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"☆39Updated 3 years ago
- A source-to-source compiler for optimizing CUDA dynamic parallelism by aggregating launches☆15Updated 6 years ago
- ☆15Updated 2 years ago
- A simulation framework for modeling efficiency of Graph Neural Network Dataflows☆22Updated 4 months ago
- Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Mult…☆39Updated last year
- PyTorch compilation tutorial covering TorchScript, torch.fx, and Slapo☆18Updated 2 years ago
- A graph linear algebra overlay☆51Updated 2 years ago
- Sparse kernels for GNNs based on TVM☆17Updated 4 years ago
- G3: A Programmable GNN Training System on GPU☆43Updated 4 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…☆60Updated 2 years ago
- ☆70Updated 4 years ago
- A PIM instrumentation, compilation, execution, simulation, and evaluation repository for BLIMP-style architectures.☆18Updated 3 years ago
- GNNear: Accelerating Full-Batch Training of Graph NeuralNetworks with Near-Memory Processing☆13Updated 2 years ago
- Code for paper "Design Principles for Sparse Matrix Multiplication on the GPU" accepted to Euro-Par 2018☆72Updated 4 years ago
- An HBM FPGA based SpMV Accelerator☆13Updated 9 months ago
- ☆18Updated 5 years ago
- An Attention Superoptimizer☆21Updated 5 months ago
- FPGA 2025 SAT Accel: A modern SAT Solver on FPGA Repository☆12Updated 3 months ago
- ☆21Updated 4 months ago
- PyGim is the first runtime framework to efficiently execute Graph Neural Networks (GNNs) on real Processing-in-Memory systems. It provide…☆25Updated 2 months ago
- HeteroHalide: From Image Processing DSL to Efficient FPGA Acceleration☆15Updated 4 years ago
- ☆107Updated 3 years ago
- ☆46Updated 2 months ago
- PyTorch-Direct code on top of PyTorch-1.8.0nightly (e152ca5) for Large Graph Convolutional Network Training with GPU-Oriented Data Commun…☆44Updated last year
- [MLSys 2022] "BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node …☆56Updated last year