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Using Docker for GPU
accelerated applications
Felix Abecassis
Systems Software Engineer, NVIDIA
Systems Software Engineer, NVIDIA
Jonathan Calmels
GPU Computing
CUDA
Ecosystem
Applications
Agenda
NVIDIA Docker
Challenges
Our solution
Demos
GPU isolation
Machine Learning
Remote deployment
GPU Computing
nvidia.com/object/gpu-accelerated-computing.html
Heterogeneous Computing
CPU
Optimized for
Serial Tasks
GPU
Optimized for
Parallel Tasks
CUDA C++ Programming
// Vector sum in C
void vector_add(int n, const float* a, const float* b, float* c)
{
for (int idx = 0; idx < n; ++idx)
c[idx] = a[idx] + b[idx];
}
// Vector sum in CUDA
__global__ void vector_add(int n, const float* a, const float* b, float* c)
{
int idx = blockIdx.x * blockDim.x + threadIdx.x;
if (idx < n)
c[idx] = a[idx] + b[idx];
}
Ecosystem
Libraries
Programming
Languages
Compiler
Directives
AmgX
cuBLAS
/
x86
NVIDIA SDKs
Applications: Deep Learning
INTERNET &
CLOUD
Image Classification
Speech Recognition
Language Translation
Language Processing
Sentiment Analysis
Recommendation
MEDIA &
ENTERTAINMENT
Video Captioning
Video Search
Real Time Translation
AUTONOMOUS
MACHINES
Pedestrian Detection
Lane Tracking
Recognize Traffic Sign
SECURITY &
DEFENSE
Face Detection
Video Surveillance
Satellite Imagery
MEDICINE &
BIOLOGY
Cancer Cell Detection
Diabetic Grading
Drug Discovery
GPU-Accelerated Deep Learning
WATSON THEANO MATCONVNET
TENSORFLOW CNTK TORCH CAFFE
CHAINER
NVIDIA Docker
github.com/NVIDIA/nvidia-docker
Challenges: a typical cluster
Packaging driver files?
FROM ubuntu:14.04
RUN apt-get update && 
apt-get install --no-install-recommends -y gcc make libc-dev wget
RUN wget http://us.download.nvidia.com/XFree86/Linux-x86_64/361.42/NVIDIA-Linux-x86_64-361.42.run
RUN sh NVIDIA-Linux-x86_64-361.42.run --silent --no-kernel-module
Never install the driver in the Dockerfile, not portable!
Bringing GPU support to Docker
Internals
DockerHub images
GPU Applications Workflow
Container Based
Applications
GPU-Accelerated
data center
Research/Develop DeployTest/Package
Video
Transcoding
Image
Processing
Deep
Learning
HPC
Visualization
Demos
Interactive, ask questions!
Thank you!

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Using Docker for GPU-accelerated Applications by Felix Abecassis and Jonathan Calmeis