mingfeima / pytorch_profiler_parser
parser script to process pytorch autograd profiler result, convert json file to excel.
☆14Updated 5 years ago
Alternatives and similar repositories for pytorch_profiler_parser:
Users that are interested in pytorch_profiler_parser are comparing it to the libraries listed below
- This is the implementation for paper: AdaTune: Adaptive Tensor Program CompilationMade Efficient (NeurIPS 2020).☆13Updated 3 years ago
- System for automated integration of deep learning backends.☆48Updated 2 years ago
- ☆75Updated 2 years ago
- ☆23Updated 3 months ago
- ☆48Updated 5 years ago
- Set of datasets for the deep learning recommendation model (DLRM).☆42Updated 2 years ago
- DietCode Code Release☆62Updated 2 years ago
- ☆91Updated 11 months ago
- ParaDnn: A systematic performance analysis methodology for deep learning.☆39Updated 4 years ago
- ☆44Updated last year
- SparseTIR: Sparse Tensor Compiler for Deep Learning☆135Updated last year
- Mille Crepe Bench: layer-wise performance analysis for deep learning frameworks.☆17Updated 5 years ago
- Provides the examples to write and build Habana custom kernels using the HabanaTools☆20Updated 3 months ago
- PET: Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections☆119Updated 2 years ago
- ☆47Updated 2 years ago
- A tool for examining GPU scheduling behavior.☆73Updated 7 months ago
- ☆38Updated 2 years ago
- This repository contains the results and code for the MLPerf™ Training v1.0 benchmark.☆38Updated last year
- Benchmark for matrix multiplications between dense and block sparse (BSR) matrix in TVM, blocksparse (Gray et al.) and cuSparse.☆24Updated 4 years ago
- Automatic Mapping Generation, Verification, and Exploration for ISA-based Spatial Accelerators☆108Updated 2 years ago
- GVProf: A Value Profiler for GPU-based Clusters☆49Updated last year
- ☆90Updated 2 weeks ago
- Artifacts of EVT ASPLOS'24☆24Updated last year
- A home for the final text of all TVM RFCs.☆103Updated 6 months ago
- Implementation of TSM2L and TSM2R -- High-Performance Tall-and-Skinny Matrix-Matrix Multiplication Algorithms for CUDA☆32Updated 4 years ago
- FTPipe and related pipeline model parallelism research.☆41Updated last year
- 🔮 Execution time predictions for deep neural network training iterations across different GPUs.☆60Updated 2 years ago
- A self-contained version of the tutorial which can be easily cloned and viewed by others.☆24Updated 5 years ago
- CUDA GPU Benchmark☆23Updated last month
- ☆24Updated 5 years ago