IvanVigor / Balanced_Graph_PartitioningLinks
Implementation of Balanced Graph Partitioning Konstantin" - Andreev and Harald Racke (Authors of the paper) by Ivan Vigorito and Lorenzo Frigerio
☆14Updated 2 years ago
Alternatives and similar repositories for Balanced_Graph_Partitioning
Users that are interested in Balanced_Graph_Partitioning are comparing it to the libraries listed below
Sorting:
- This repo is to collect the state-of-the-art GNN hardware acceleration paper☆54Updated 4 years ago
- ☆112Updated 4 years ago
- ☆47Updated 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…☆59Updated 3 years ago
- G3: A Programmable GNN Training System on GPU☆43Updated 5 years ago
- Distributed Multi-GPU GNN Framework☆36Updated 5 years ago
- Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.☆70Updated 2 years ago
- this is the release repository of superneurons☆54Updated 4 years ago
- Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"☆40Updated 4 years ago
- ☆13Updated 4 years ago
- Artifact for PPoPP22 QGTC: Accelerating Quantized GNN via GPU Tensor Core.☆30Updated 3 years ago
- ☆49Updated 9 months ago
- Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Mult…☆41Updated last year
- OpenGraph is an open-source graph processing benchmarking suite written in pure C/OpenMP.☆12Updated last year
- Benchmark for matrix multiplications between dense and block sparse (BSR) matrix in TVM, blocksparse (Gray et al.) and cuSparse.☆23Updated 5 years ago
- ☆70Updated 4 years ago
- ☆27Updated 6 years ago
- ☆10Updated 4 years ago
- Code for paper "Design Principles for Sparse Matrix Multiplication on the GPU" accepted to Euro-Par 2018☆73Updated 5 years ago
- Mille Crepe Bench: layer-wise performance analysis for deep learning frameworks.☆18Updated 6 years ago
- A pattern-based algorithmic autotuner for graph processing on GPUs.☆31Updated 6 months ago
- Artifact for USENIX ATC'23: TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs.☆52Updated 2 years ago
- [Mlsys'22] Understanding gnn computational graph: A coordinated computation, io, and memory perspective☆22Updated 2 years ago
- ☆41Updated 5 years ago
- A Dataflow library for graph analytics acceleration☆14Updated 10 years ago
- A reading list for deep graph learning acceleration.☆255Updated 5 months ago
- Implementation of FusedMM method for IPDPS 2021 paper titled "FusedMM: A Unified SDDMM-SpMM Kernel for Graph Embedding and Graph Neural N…☆31Updated 3 years ago
- Set of datasets for the deep learning recommendation model (DLRM).☆48Updated 3 years ago
- Sparse kernels for GNNs based on TVM☆17Updated 5 years ago
- Dorylus: Affordable, Scalable, and Accurate GNN Training☆76Updated 4 years ago