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Journée ROMEO, 9 juin 2016
Frédéric Parienté, Tesla Accelerated Computing, NVIDIA Corporation
LA RÉVOLUTION DU DEEP LEARNING
Deep Learning Achieves “Superhuman” Results
A NEW COMPUTING MODEL
Traditional Computer VisionExperts + Time
Deep Learning Object DetectionDNN + Data + HPC
ImageNet
KEY DRIVERS FOR DEEP LEARNING
Big Data GPU AccelerationBetter Algorithms
350 millions images uploaded per day
2.5 Petabytes of customer data hourly
300 hours of video uploaded every minute
“The Three Breakthroughs that have Finally Unleashed A.I. on the World”
NVIDIA DEEP LEARNING SDKHigh Performance GPU-Acceleration for Deep Learning
COMPUTER VISION SPEECH AND AUDIO BEHAVIOR
Object Detection Voice Recognition TranslationRecommendation
EnginesSentiment Analysis
DEEP LEARNING
cuDNN
MATH LIBRARIES
cuBLAS cuSPARSE
MULTI-GPU
NCCL
cuFFT
Mocha.jl
Image Classification
DEEP LEARNING
SDK
FRAMEWORKS
APPLICATIONS
EVERY INDUSTRY WANTS DEEP LEARNINGCloud Service Provider Medicine Media & Entertainment Security & Defense Autonomous Machines
Cancer cell detection
Diabetic grading
Drug discovery
Pedestrian detection
Lane tracking
Recognize traffic sign
Face recognition
Video surveillance
Cyber security
Video captioning
Content based search
Real time translation
Image/Video classification
Speech recognition
Natural language processing
BAIDU: DL DEVELOPERS NEED HPC
“Investments in computer systems — and I think the bleeding-edge of AI, and deep learning specifically, is shifting to HPC (high performance computing) — can cut down the time to run an experiment, and therefore go around the circle, from a week to a day and sometimes even faster.”
“Those of us that grew up doing machine learning often didn’t grow up with an HPC or computer systems background … partnerships between machine learning researchers and computer systems researchers tend to help both teams drive a lot of machine learning progress.”
— Andrew Ng
MICROSOFT: “SUPER DEEP NETWORKS”
Microsoft Deep ResNet
http://arxiv.org/pdf/1512.03385v1.pdf
18 LAYERS1.8 GF
152 LAYERS11.3 GF
>6X MORE FLOPSRevolution of Depth
NVIDIA DGX-1WORLD’S FIRST DEEP LEARNING SUPERCOMPUTER
170 TFLOPS FP16
8x Tesla P100 16GB
NVLink Hybrid Cube Mesh
Accelerates Major AI Frameworks
Dual Xeon
7 TB SSD Deep Learning Cache
Dual 10GbE, Quad IB 100Gb
3RU – 3200W
DEEP LEARNING &
ARTIFICIAL INTELLIGENCE
Sep 28-29, 2016 | Amsterdam
www.gputechconf.eu #GTC16
SELF-DRIVING CARS VIRTUAL REALITY &
AUGMENTED REALITY
SUPERCOMPUTING & HPC
GTC Europe is a two-day conference designed to expose the innovative ways developers, businesses and academics are
using parallel computing to transform our world.
EUROPE’S BRIGHTEST MINDS & BEST IDEAS
2 Days | 800 Attendees | 50+ Exhibitors | 50+ Speakers | 15+ Tracks | 15+ Workshops | 1-to-1 Meetings