parallel-ml / asplos2018-workshopLinks
ReQuEST 2018 workshop: Real-Time Image Recognition Using Collaborative IoT Devices
☆10Updated 2 years ago
Alternatives and similar repositories for asplos2018-workshop
Users that are interested in asplos2018-workshop are comparing it to the libraries listed below
Sorting:
- An analytical performance modeling tool for deep neural networks.☆89Updated 4 years ago
- A Deep Learning Meta-Framework and HPC Benchmarking Library☆81Updated 3 years ago
- ☆118Updated 6 years ago
- Kernel Fusion and Runtime Compilation Based on NNVM☆70Updated 8 years ago
- ParaDnn: A systematic performance analysis methodology for deep learning.☆39Updated 5 years ago
- this is the release repository of superneurons☆52Updated 4 years ago
- ☆47Updated 2 years ago
- This repository contains the results and code for the MLPerf™ Training v0.5 benchmark.☆35Updated 3 weeks ago
- Reference workloads for modern deep learning methods.☆73Updated 2 years ago
- ☆21Updated 2 years ago
- Multi-GPU Computing Benchmark Suite (CUDA)☆42Updated 7 years ago
- implement distributed machine learning with Pytorch + OpenMPI☆51Updated 6 years ago
- Example of multi-process, multi-GPU training using Torch-parallel, nVidia-nccl, and nVidia-MPS☆17Updated 8 years ago
- image to column☆30Updated 10 years ago
- Repository for SysML19 Artifacts Evaluation☆54Updated 6 years ago
- CK workflow, portable packages and other artifacts for the ReQuEST-ASPLOS'18 submission:☆11Updated 6 years ago
- ddl-benchmarks: Benchmarks for Distributed Deep Learning☆37Updated 5 years ago
- A framework for pipelined computing on GPU☆29Updated 5 years ago
- ☆26Updated 5 years ago
- A Tool for Automatic Parallelization of Deep Learning Training in Distributed Multi-GPU Environments.☆130Updated 3 years ago
- This repository contains the results and code for the MLPerf™ Inference v0.5 benchmark.☆55Updated 2 years ago
- Machine Learning System☆14Updated 5 years ago
- ☆128Updated last year
- A Portable C Library for Distributed CNN Inference on IoT Edge Clusters☆82Updated 5 years ago
- Elastic Execution of a DNN Model Between Client and Server☆17Updated 5 years ago
- CK workflow, portable packages and other artifacts for the ReQuEST-ASPLOS'18 submission:☆15Updated 5 years ago
- ☆28Updated 2 years ago
- Test winograd convolution written in TVM for CUDA and AMDGPU☆41Updated 6 years ago
- GPU-specialized parameter server for GPU machine learning.☆101Updated 7 years ago
- Implementation of Parameter Server using PyTorch communication lib☆42Updated 6 years ago