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.

1. The Visual Computing Company

2. PROFESSIONAL VISUALIZATION
GAMING
IP
GRAPHICS CARDS
SYSTEMS
GPUs &SOCs
HPC andDATA CENTERS
SMART DEVICES
Two Decades of Visual Computing

3. How GPU Accelerated Computing Improves Visualization in the E&P Workflow

4. Visualization
Computation
Remote Visualization
Cloud
in
Oil & Gas

5. Add GPUs & Accelerate
GPU
CPU
Speedup

6. Seismic Processing & Imaging
Seismic
Interpretation
Reservoir
Characterization
Engineering &
Construction
Well
Planning
Drilling
Reservoir Simulation
Economics
& Trading
NVIDIA: Strategic Across the Workflow
Production

7. NVIDIA: Strategic Across the Workflow
Seismic Processing & Imaging
Seismic
Interpretation
Reservoir
Characterization
Engineering &
Construction
Well
Planning
Drilling
Reservoir Simulation
Economics
& Trading
Production

8. Seismic
Acquisition
Seismic
Imaging
Interpretation
Reservoir
Characterization
Petrophysics
Well
Planning
Drilling
Reservoir Simulation
Economics
GPU computing is transforming E&P workflow
Seismic Processing & Imaging
Images courtesy of Schlumberger

9. Accuracy & Confidence in Subsurface Imaging
Salt
Seismic SectionBefore RTM
Source: CGG-Veritas
Same Seismic Section with RTM
Salt
Blurred image due
to salt dome above
Clear image showing
the trapped hydrocarbons

10. GPUs for Computation & Visualization
GPUwith Original Algorithms
GPUwith Advanced Algorithms
GPUwith Original Algorithms
GPUwith Advanced Algorithms
Courtesy: Paradigm

11. Seismic
Acquisition
Seismic
Imaging
Interpretation
Reservoir
Characterization
Petrophysics
Well
Planning
Drilling
Reservoir Simulation
Economics
Interpretation
GPU computing is transforming E&P workflow
Images courtesy of Schlumberger

12. Interactive Interpretation, Modeling and Simulation Today
INTERPRETATION
+
ATTRIBUTES CALCULATIONS
NO WAIT INTERPRETAITON

13. 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?

14. 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

15. 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

16. Intelligent GPU job allocation
A Single Unified Driver
Full ISV Application Certifications
A range of OEM Workstations
Parallel Computing
NVIDIA®MAXIMUS™
Visual Computing

17. Deskside Supercomputer

18. NVIDIA®MAXIMUS™
Workstation
Render
FFT Filter
+
FFT Filter Time = 1/10 y
Render Time = x
FFT Filter Time = y
Render Time = x
Render
FFT Filter (CPU)
Reinventing E&P Workflow
Render2
FFT Filter2
+
Render3
FFT Filter3
+
Render4
FFT Filter4
+
Traditional
Workstation

19. NVIDIA®MAXIMUS™
Workstation
Traditional
Workstation
Reinventing E&P Workflow

20. Regional Studies
Challenges
•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
2008
2009
2010
2011
2012
2013
2014
2015
Propsect Volume (TB)
Projected Data Volume Growth

21. 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

22. Depth-correct transparency rendering

23. Depth-correct transparency rendering

24. Depth-correct transparency rendering

25. Depth-correct transparency rendering

26. Depth-correct transparency rendering

27. 3 Ways to Accelerate Your Apps
Libraries
OpenACC
Directives
Programming Languages
Applications
Easiest Approach
Maximum Flexibility

28. 3 Ways to Accelerate Applications
Drop In
Libraries
OpenACC
Directives
Programming Languages
Easiest Approach
Maximum Flexibility
C
C++
Fortran
OpenCL
DirectCompute
Java
Python
PGI Accelerator
CAPS HMPP
CRAY
THRUST
BLAS, LAPACK
FFT
NPP
Sparse
Imaging
RNG
developers.nvidia.com/cuda

29. Minimum Port, Significant Benefit
Application Code
GPU
CPU
Use CUDA to Parallelize
•Libraries
•Templates
•Code Kernels
Compute-Intensive Functions
Rest of Sequential
CPU Code

30. GPU Solutions for Seismic Processing
GPU Benefits
To Geoscientist
Reference Customers
Boost Throughput & Reduce Cycle Time
Improve Accuracy & Reduce Uncertainty
Increase Projects Success & Reduce Finding Costs
ISVs

31. Successful Customers
GPUvs 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

32. GPU Impact to Seismic Processing
13x more jobs
From 75 days to 6 days
More simulations/day
more confidence…
Production RTM TTISeismic Contractor
Results
6x more throughput
Same budget
+
More jobs
per dollar…
Paradigm Echos
Budget
+
96% less power
From 5 days to 6 hours
Less kiloWatts
Less floor space…
3D Anisotropic Elastic Modeling
ISV Research Team
Power

33. NVIDIA GRID vGPUis the hardware virtualization of the GPU that allows multiple virtual machines to interact directly with a GPU

34. IMPORTANCE OF GPU ACCELERATION
Office Productivity
Medical Records
Some Graphics Required –GPU is Nice to Have
Graphics Intensive –Must Have a GPU
Media Rich Web
PLM & Volume Design
3D Engineering & Design Apps
DESIGNER
KNOWLEDGE WORKER
POWER USER

35. GPU
4 KeplerGPUs
2 KeplerGPUs
CUDA Cores
768 (192/GPU)
3072 (1536/GPU)
Memory Size
16GB DDR3 (4GB/GPU)
8GBGDDR5(4GB/GPU)
Max Power
130 W
225 W
Equivalent Quadrowith Pass-through
4x QuadroK600
2x QuadroK5000
NVIDIA GRID K2
NVIDIA GRID K1
DESIGNER
KNOWLEDGE WORKER
POWER USER

36. •
NEW OpenGL support
•
NEW industry-first direct GPU sharing for hosted shared apps
•
NEW codec for remote performance
•
XenServervGPUsupport for VD
•
vGPUon VMware vSphere® coming soon

37. NVIDIA GRID Partners

38. NVIDIA Oil & Gas Global Team
Boulder
Santa Clara
Sao Paulo
London
Perth
Brisbane
Kuala Lumpur
Houston
Beijing
Bangalore
Jakarta
NALA
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 name@nvidia.com
Paris

39. Thank You!
Marcio Aguiar
maguiar@nvidia.com