intel / MLSLLinks
Intel(R) Machine Learning Scaling Library is a library providing an efficient implementation of communication patterns used in deep learning.
☆109Updated 2 years ago
Alternatives and similar repositories for MLSL
Users that are interested in MLSL are comparing it to the libraries listed below
Sorting:
- Machine Learning Toolkit for Extreme Scale (MaTEx)☆110Updated 6 years ago
- Python bindings for NVTX☆66Updated 2 years ago
- A Deep Learning Meta-Framework and HPC Benchmarking Library☆81Updated 3 years ago
- This repository contains the results and code for the MLPerf™ Training v0.5 benchmark.☆35Updated last month
- Kernel Fusion and Runtime Compilation Based on NNVM☆70Updated 8 years ago
- Tests and benchmarks for cudnn (and in the future, other nvidia libraries)☆53Updated 4 years ago
- Issues related to MLPerf™ training policies, including rules and suggested changes☆95Updated 2 months ago
- TensorFlow-nGraph bridge☆136Updated 4 years ago
- Documentation for StreamExecutor open source proposal☆83Updated 9 years ago
- Bridge to connect nGraph with TensorFlow☆52Updated 2 years ago
- Computation using data flow graphs for scalable machine learning☆67Updated this week
- Enhanced networking support for TensorFlow. Maintained by SIG-networking.☆98Updated 3 years ago
- Deep Learning Benchmarking Suite☆129Updated 2 years ago
- oneAPI Collective Communications Library (oneCCL)☆237Updated last week
- High-performance, GPU-aware communication library☆87Updated 5 months ago
- GPU-specialized parameter server for GPU machine learning.☆101Updated 7 years ago
- An analytical performance modeling tool for deep neural networks.☆89Updated 4 years ago
- Symbolic Expression and Statement Module for new DSLs☆205Updated 4 years ago
- Tools and extensions for CUDA profiling☆64Updated 5 years ago
- Flexible GPGPU instrumentation☆87Updated 5 years ago
- Intel® Optimization for Chainer*, a Chainer module providing numpy like API and DNN acceleration using MKL-DNN.☆171Updated last month
- ☆30Updated 2 years ago
- A simple memory manager for CUDA designed to help Deep Learning frameworks manage memory☆296Updated 6 years ago
- oneCCL Bindings for Pytorch*☆97Updated last month
- Reference implementations of MLPerf™ HPC training benchmarks☆48Updated 3 months ago
- a heterogeneous multiGPU level-3 BLAS library☆45Updated 5 years ago
- portDNN is a library implementing neural network algorithms written using SYCL☆113Updated last year
- gossip: Efficient Communication Primitives for Multi-GPU Systems☆59Updated 2 years ago
- Benchmarking State-of-the-Art Deep Learning Software Tools☆169Updated 7 years ago
- XLA integration of Open Neural Network Exchange (ONNX)☆19Updated 6 years ago