CMU-SAFARI / PyGimLinks
PyGim is the first runtime framework to efficiently execute Graph Neural Networks (GNNs) on real Processing-in-Memory systems. It provides a high-level Python interface, currently integrated with PyTorch, and supports various GNN models and real-world input graphs. Described by SIGMETRICS'25 by Giannoula et al. (https://arxiv.org/pdf/2402.16731)
☆32Updated 7 months ago
Alternatives and similar repositories for PyGim
Users that are interested in PyGim are comparing it to the libraries listed below
Sorting:
- Source code for the evaluated benchmarks and proposed cache management technique, GRASP, in [Faldu et al., HPCA'20].☆18Updated 5 years ago
- ☆68Updated 4 years ago
- MultiPIM: A Detailed and Configurable Multi-Stack Processing-In-Memory Simulator☆55Updated 4 years ago
- [HPCA 2022] GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design☆37Updated 3 years ago
- GNNear: Accelerating Full-Batch Training of Graph NeuralNetworks with Near-Memory Processing☆13Updated 3 years ago
- ☆27Updated last year
- PIM-DL: Expanding the Applicability of Commodity DRAM-PIMs for Deep Learning via Algorithm-System Co-Optimization☆33Updated last year
- The simulator for SPADA, an SpGEMM accelerator with adaptive dataflow☆44Updated 2 years ago
- A Cycle-level simulator for M2NDP☆32Updated 3 months ago
- UPMEM LLM Framework allows profiling PyTorch layers and functions and simulate those layers/functions with a given hardware profile.☆37Updated 3 months ago
- Scaling Graph Processing on HBM-enabled FPGAs with Heterogeneous Pipelines☆22Updated 3 years ago
- Artifact for paper "PIM is All You Need: A CXL-Enabled GPU-Free System for LLM Inference", ASPLOS 2025☆111Updated 7 months ago
- SimplePIM is the first high-level programming framework for real-world processing-in-memory (PIM) architectures. Described in the PACT 20…☆31Updated 2 years ago
- This repo is to collect the state-of-the-art GNN hardware acceleration paper☆54Updated 4 years ago
- A graph linear algebra overlay☆51Updated 2 years ago
- ☆10Updated 3 years ago
- PIMeval simulator and PIMbench suite☆39Updated last week
- PIM-ML is a benchmark for training machine learning algorithms on the UPMEM architecture, which is the first publicly-available real-worl…☆24Updated 10 months ago
- A PIM instrumentation, compilation, execution, simulation, and evaluation repository for BLIMP-style architectures.☆18Updated 3 years ago
- 3D-FPIM: An Extreme Energy-Efficient DNN Acceleration System Using 3D NAND Flash-Based In-Situ PIM Unit (MICRO 2022)☆18Updated 2 years ago
- The Artifact of NeoMem: Hardware/Software Co-Design for CXL-Native Memory Tiering☆59Updated last year
- SparseP is the first open-source Sparse Matrix Vector Multiplication (SpMV) software package for real-world Processing-In-Memory (PIM) ar…☆77Updated 3 years ago
- ☆20Updated 3 years ago
- ☆13Updated 5 years ago
- A dataflow architecture for universal graph neural network inference via multi-queue streaming.☆73Updated 2 years ago
- Artifact for USENIX ATC'23: TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs.☆51Updated 2 years ago
- STONNE Simulator integrated into SST Simulator☆22Updated last year
- ☆29Updated 4 years ago
- Examples of DPU programs using the UPMEM DPU SDK☆45Updated 10 months ago
- A fast, accurate, and easy-to-integrate memory simulator that model memory system performance with bandwidth--latency curves.☆32Updated last month