the visual computing company
DESCRIPTION
The Visual Computing Company Por Margio Aguiar PSG LATAM Manager NVIDIA Panorama sobre las ventajas de la tecnología de visualización en materia de cómputo para diferentes giros empresariales, ventaja competitiva y operativa ofertada por NVIDIA.TRANSCRIPT
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The Visual Computing Company
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PROFESSIONAL VISUALIZATION
GAMING
IP GRAPHICS CARDS SYSTEMSGPUs & SOCs
HPC andDATA CENTERS
SMART DEVICES
Two Decades of Visual Computing
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How GPU Accelerated Computing Improves Visualization in the E&P
Workflow
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Visualization Computation
Remote VisualizationCloud
in Oil & Gas
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Add GPUs & Accelerate
GPUCPU
Speedup
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Seismic Processing & Imaging
Seismic Interpretation
ReservoirCharacterization
Engineering & Construction
WellPlanning Drilling
Reservoir Simulation
Economics & Trading
NVIDIA: Strategic Across the Workflow
Production
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NVIDIA: Strategic Across the WorkflowSeismic Processing
& ImagingSeismic
InterpretationReservoir
CharacterizationEngineering & Construction
WellPlanning Drilling
Reservoir Simulation
Economics & TradingProduction
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SeismicAcquisition
SeismicImaging Interpretation
ReservoirCharacterization Petrophysics
WellPlanning Drilling
Reservoir Simulation Economics
GPU computing is transforming E&P workflow
Seismic Processing & Imaging
Images courtesy of Schlumberger
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Accuracy & Confidence in Subsurface Imaging
Salt
Seismic Section Before RTM
Source: CGG-Veritas
Same Seismic Section with RTM
Salt
Blurred image due to salt dome above
Clear image showingthe trapped hydrocarbons
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GPUs for Computation & Visualization
GPU with Original Algorithms
GPU with Advanced Algorithms
GPU with Original Algorithms
GPU with Advanced Algorithms
Courtesy: Paradigm
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SeismicAcquisition
SeismicImaging Interpretation
ReservoirCharacterization Petrophysics
WellPlanning Drilling
Reservoir Simulation Economics
Interpretation
GPU computing is transforming E&P workflow
Images courtesy of Schlumberger
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Interactive Interpretation, Modeling and Simulation Today
INTERPRETATION + ATTRIBUTES CALCULATIONS
NO WAIT INTERPRETAITON
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Exploration & Production purpose
Which global basins offer the most promise?
Which blocks on those basins must bid?
Where on the block should you drill?
What should be expected from a particular well?
How can we safely speedup time-to-first-oil?
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Seismic Interpretation
• How to work on data in increasingly larger volumes?• How to converge compute and interactive graphics cycles?• How dispersed work teams collaborate?
• Use same data, different view-points and different interactions• How to achieve high visual quality and qualified user experience?• How to scale from desktops to large-resolution displays?• How to improve time-to-decision!
Challenges
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Difficulties in New Oil – WAZ and MAZ
Distorted Signal
Wider Angle Streamers
Salt Body
• Underwater salt is like melted hot glue and it distorts the seismic signal
• WAZ allows streamers to shoot at a wider angle and circumvent the salt body
• MAZ combines several sources at varying angles for better subsurface illumination
• New oil is going to be discovered in more complex and challenging locations such as Arctic, Deep Water, Desert and these all are near or subsalt reservoirs
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Intelligent GPU job allocationA Single Unified Driver Full ISV Application CertificationsA range of OEM Workstations
Parallel Computing
NVIDIA® MAXIMUS™
Visual Computing
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Deskside Supercomputer
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NVIDIA® MAXIMUS™Workstation
Render
FFT Filter+
FFT Filter Time = 1/10 y
Render Time = x
FFT Filter Time = yRender Time = x
Render FFT Filter (CPU)
Reinventing E&P Workflow
Render2
FFT Filter2
+Render3
FFT Filter3
+Render4
FFT Filter4
+
TraditionalWorkstation
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NVIDIA® MAXIMUS™Workstation
TraditionalWorkstation
Reinventing E&P Workflow
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Regional StudiesChallenges• New subsalt discoveries and mature fields• Increasing use of 3D Pre-stack data• New surveys: Wide Azimuth, OBS, time lapse
0
100
200
300
400
500
600
700
2006
2007
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2015
Prop
sect
Vol
ume
(TB
)
Projected Data Volume Growth
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NVIDIA indeX™
Cluster-based graphics infrastructure• Real-time manipulation of huge datasets• Combine volume and surface rendering• Project size scales with cluster size• Interactive collaboration with global teams
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Depth-correct transparency rendering
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Depth-correct transparency rendering
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Depth-correct transparency rendering
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Depth-correct transparency rendering
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Depth-correct transparency rendering
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3 Ways to Accelerate Your Apps
Libraries OpenACCDirectives
Programming Languages
Applications
Easiest Approach Maximum Flexibility
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3 Ways to Accelerate Applications
Drop InLibraries
OpenACCDirectives
Programming Languages
Easiest Approach Maximum Flexibility
CC++
FortranOpenCL
DirectComputeJava
Python
PGI AcceleratorCAPS HMPP
CRAY
THRUSTBLAS, LAPACK
FFTNPP
SparseImaging
RNG
developers.nvidia.com/cuda
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Minimum Port, Significant BenefitApplication Code
GPU CPUUse CUDA to Parallelize• Libraries• Templates• Code Kernels
Compute-Intensive FunctionsRest of Sequential
CPU Code
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GPU Solutions for Seismic Processing
GPU BenefitsTo Geoscientist
Reference Customers
Boost Throughput & Reduce Cycle Time
Improve Accuracy & Reduce Uncertainty
Increase Projects Success & Reduce
Finding Costs
ISVs
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Successful Customers
GPU vs CPU Improvements
Performance / Watt 18x - 27x 12x - 17x
Performance / Space 20x - 31x 15x - 20x
Performance / Cost 15x - 20x 10x - 12x
Oil & Gas ISVs
20+ Oil & Gas Companies with GPU Projects
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GPU Impact to Seismic Processing
13x more jobsFrom 75 days to 6 days
More simulations/daymore confidence…
Production RTM TTISeismic Contractor
Results
6x more throughputSame budget
+More jobs
per dollar…
Paradigm Echos
Budget
+
96% less powerFrom 5 days to 6 hours
Less kiloWattsLess floor space…
3D Anisotropic Elastic Modeling ISV Research Team
Power
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NVIDIA GRID vGPU is the hardware virtualization of the GPU that allows multiple virtual machines to interact directly with a GPU
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IMPORTANCE OF GPU ACCELERATION
Office Productivity Medical RecordsSome Graphics Required – GPU is Nice to Have
Graphics Intensive – Must Have a GPUMedia Rich WebPLM & Volume Design3D Engineering & Design
Apps
DESIGNER
KNOWLEDGE WORKER
POWER USER
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GPU 4 Kepler GPUs 2 Kepler GPUs
CUDA Cores 768 (192/GPU) 3072 (1536/GPU)
Memory Size 16GB DDR3 (4GB/GPU) 8GB GDDR5 (4GB/GPU)
Max Power 130 W 225 W
Equivalent Quadro with
Pass-through 4x Quadro K600 2x Quadro K5000
NVIDIA GRID K2
NVIDIA GRID K1
DESIGNER
KNOWLEDGE WORKER
POWER USER
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• NEW OpenGL support
• NEW industry-first direct GPU sharing for hosted shared apps
• NEW codec for remote performance
• XenServer vGPU support for VD
• vGPU on VMware vSphere® coming soon
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NVIDIA GRID Partners
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NVIDIA Oil & Gas Global Team
Boulder
Santa Clara
Sao Paulo
London
PerthBrisbane
Kuala Lumpur
Houston
Beijing
Bangalore
JakartaNALA
Global Lead:: Paul Holzhauer
IBD: Keith Cockerham
ISA: Ty McKercher
NALA
IBD: Marcio Aguiar
EMEA
IBD: Olivier Blondel
ISA: Francois Courteille
APAC
IBD: John Xie
ISA: Huaping Luo
APAC
IBD: Manish Bali
Quadro SA: Rupali Deshpande
Tesla SA: Ananda Bhattacharjee
DevTech and Qual
Tesla: Paulius Micikevicius
Quadro: Shalini Venkataraman
Qual: Helena Chiou
APAC
IBD: Simon See
ISVs
Alliances: Mik Isernia
Email: first initial + last [email protected]
Paris