AIS-SNU / GraNNDis_ArtifactLinks
[PACT'24] GraNNDis. A fast and unified distributed graph neural network (GNN) training framework for both full-batch (full-graph) and mini-batch training. Provides unification of full-/mini-batch training using a novel data/communication structure.
☆10Updated last year
Alternatives and similar repositories for GraNNDis_Artifact
Users that are interested in GraNNDis_Artifact are comparing it to the libraries listed below
Sorting:
- ☆27Updated 11 months ago
- [HPCA'24] Smart-Infinity: Fast Large Language Model Training using Near-Storage Processing on a Real System☆49Updated 3 months ago
- ☆11Updated 6 months ago
- UPMEM LLM Framework allows profiling PyTorch layers and functions and simulate those layers/functions with a given hardware profile.☆36Updated 3 months ago
- ☆55Updated last year
- PIM-DL: Expanding the Applicability of Commodity DRAM-PIMs for Deep Learning via Algorithm-System Co-Optimization☆33Updated last year
- Artifact for USENIX ATC'23: TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs.☆51Updated 2 years ago
- A Cycle-level simulator for M2NDP☆32Updated 3 months ago
- Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Mult…☆40Updated last year
- Artifact for paper "PIM is All You Need: A CXL-Enabled GPU-Free System for LLM Inference", ASPLOS 2025☆101Updated 6 months ago
- Artifact for PPoPP22 QGTC: Accelerating Quantized GNN via GPU Tensor Core.☆30Updated 3 years ago
- NeuPIMs: NPU-PIM Heterogeneous Acceleration for Batched LLM Inferencing☆99Updated last year
- MAGIS: Memory Optimization via Coordinated Graph Transformation and Scheduling for DNN (ASPLOS'24)☆55Updated last year
- ☆21Updated last year
- Codebase for ICML'24 paper: Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs☆27Updated last year
- [DATE 2023] Pipe-BD: Pipelined Parallel Blockwise Distillation☆11Updated 2 years ago
- ☆105Updated last year
- ☆156Updated 9 months ago
- Magicube is a high-performance library for quantized sparse matrix operations (SpMM and SDDMM) of deep learning on Tensor Cores.☆89Updated 2 years ago
- ☆16Updated 2 years ago
- LLMServingSim: A HW/SW Co-Simulation Infrastructure for LLM Inference Serving at Scale☆148Updated 3 months ago
- Tender: Accelerating Large Language Models via Tensor Decompostion and Runtime Requantization (ISCA'24)☆21Updated last year
- ☆38Updated last year
- ☆73Updated 5 months ago
- ArkVale: Efficient Generative LLM Inference with Recallable Key-Value Eviction (NIPS'24)☆44Updated 10 months ago
- ☆32Updated 3 years ago
- FlashSparse significantly reduces the computation redundancy for unstructured sparsity (for SpMM and SDDMM) on Tensor Cores through a Swa…☆33Updated last month
- LLM Inference analyzer for different hardware platforms☆96Updated 4 months ago
- ☆202Updated 3 weeks ago
- ☆15Updated last year