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NVIDIA Tesla Accelerated Computing Platform for IBM Power
John Ashley Senior IBM Developer Relationship Manager
NVIDIA
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#OpenPOWERSummit
NVIDIA Vision for Tesla
Architectural Cadence
Pervasive
Energy Efficient
Innovative
Enable faster science, deeper learning, bigger insights!
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Architectural Cadence
Accelerated Computing Roadmap
Rela
tive P
erf
2012 2014 2008 2010 2016
Tesla CUDA
Fermi FP64
Kepler Dynamic Parallelism
Maxwell DX12
Pascal Unified Memory
3D Memory
NVLink
32
16
8
2
0
4
Volta NVLink2
NEXT
Heterogeneous Computing
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POWER CPU For Serial Tasks
GPU Accelerator For Parallel Tasks
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Pervasive
From HPC to Enterprise Data Centers
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Government Supercomputing Finance Higher Ed Oil & Gas Consumer Web
Air Force
Research
Laboratory
Naval
Research
Laboratory
Tokyo Institute of Technology
Development Data Center Infrastructure
Tesla Accelerated Computing Platform
GPU
Accelerators Interconnect
System
Management
Compiler
Solutions
GPU Boost
…
GPU Direct
NVLink
…
NVML
…
LLVM
…
Profile and
Debug
CUDA Debugging
API
…
Development
Tools
Programming
Languages Infrastructure
Management Communication System
Solutions
/
Software
Solutions
Libraries
cuBLAS
…
Tesla: Platform for Accelerated Datacenters
Rapid Adoption
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113
206
242
0
50
100
150
200
250
300
350
2011 2012 2013 2014
0%
20%
40%
60%
80%
100%
2010 2011 2012 2013
Rapid Adoption of Accelerators
Hundreds of GPU Accelerated Apps
NVIDIA GPU is Accelerator of
Choice
NVIDIA GPU
85%
INTEL PHI
4% OTHERS
11%
Intersect360 Research HPC User Site Census: Systems, July 2013
Intersect360 HPC User Site Census: Systems, July 2013
IDC HPC End-User MSC Study, 2013
% of HPC Customers with Accelerators
287
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Energy Efficient
IBM POWER CPU Most Powerful Serial
Processor
NVIDIA NVLink Fastest CPU-GPU Interconnect
NVIDIA Volta GPU Most Powerful Parallel
Processor
Heterogenous Computing 5x Higher Energy Efficiency
80-200 GB/s
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Two New Flagship Supercomputers $300M USD
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100-300 PFLOPS Peak
10x in Scientific App
Performance
IBM POWER9 CPU + NVIDIA Volta
GPU
NVLink High Speed Interconnect
40 TFLOPS per Node, >3,400
Nodes
2017
CORAL: Built for Grand Scientific Challenges
Fusion Energy Role of material disorder, statistics, and fluctuations in nanoscale materials and systems.
Combustion Combustion simulations to enable the next gen diesel/bio- fuels to burn more efficiently
Climate Change Study climate change adaptation and mitigation scenarios; realistically represent detailed features
Nuclear Energy Unprecedented high-fidelity radiation transport calculations for nuclear energy applications
Biofuels Search for renewable and more efficient energy sources
Astrophysics Radiation transport – critical to astrophysics, laser fusion, atmospheric dynamics, and medical imaging
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Innovative
Innovative
15
ec
NVLINK delivers 5-12X Bandwidth of PCI-E Stacked Memory delivers 4X Bandwidth
of GDDR5
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Bottom Line
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Faster Science Deeper Learning Bigger Insights
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Enough about us…
…let’s talk about YOU!
Contact {jashley,bradd}@nvidia.com to discuss how GPU accelerated OpenPower systems can help you deliver better science or faster discovery.