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SHPCP @ SEG 2016

Schedule | Abstracts  SEG Floor Layout (download

Society of High Performance Computing Professionals Focus Group and Presentation Theater at Booth #556

Geophysics has been associated with computing technology from its inception. High Performance Computing (HPC) consistently provides challenges and opportunities to enhance hardware, software and infrastructure solutions to match the performance and quality of the industry’s algorithms, data consumption and exploration advances.


The geophysical industry constantly increases the demands placed on HPC suppliers to process more data faster than ever before.

Considering the SEG’s interest in and need for HPC, the SEG and The Society of HPC Professionals (SHPCP) have brought together a group of HPC organizations to exhibit in a common area of the Exhibit Hall and make technical presentations. This theater will showcase two state-of-the-art 84” LCD panel systems provided by Prysm. 


Several SHPCP (www.hpcsociety.org) are regular exhibitors at the SEG Annual Meetings; however, the theater will also include participants that are first-time SEG Exhibitors and will feature new industry technology. Sponsors of this area will deliver presentations in the theater with daily programs. 


The following organizations will be participating in the HPC Focused Group: Acceleware, Altair, Avere Systems, Cray, DDN, HGST, IBM, Intel, Micron, NetApp, PCPC Direct, Penguin Computing, Prysm, Unique Digital, Seagate, VCE, and Verrex. Please refer to the Exhibit Hall Panel layout in the show program guide to find location of the HPC Theater at Booth #556.

SCHEDULE

Monday, October 17th

9:30 AM

Dynamic Measurement 
Lightning Analysis for Mapping Faults and Identifying Exploration Sweetspots
H. Roice Nelson, Jr., Founder


10:30 AM
FSG Information Systems
Workflow: It's back to the Future
Bill Rickert



1:00 PM
Rescale
Moving HPC to the cloud
JJ Jones, Account Executive



2:00 PM
Cray
Exploration seismology and the return of the Supercomputer - Exploring scalability for speed in development and delivery
Sverre Brandsberg-Dahl, Global Chief Geophysicist



3:00 PM
Prairie View A&M
A Cloud-based Scalable Seismic Data Analytics Platform
Lei Hung Ph. D., Assistant Professor
Ted Clee



4:00 PM
PCPC Direct 
The Future of High Performance and Supercomputing
Eric Collins, Sr. System Architect


Tuesday, October 18th

9:30 AM

Dynamic Measurement 
Lightning Analysis for Mapping Faults and Identifying Exploration Sweetspots
H. Roice Nelson, Jr., Founder



10:30 AM
Cray
Exploration seismology and the return of the Supercomputer - Exploring scalability for speed in development and delivery
Sverre Brandsberg-Dahl, Global Chief Geophysicist



1:00 PM
FSG Information Systems
Workflow: It's back to the Future
Bill Rickert



2:00 PM
Allinea Software 
Maximizing Developer Productivity and HPC Resource Utilization
Beau Paisley, Sr. Solution Architect



3:00 PM

Prairie View A&M
A Cloud-based Scalable Seismic Data Analytics Platform
Lei Hung Ph. D., Assistant Professor
Ted Clee





Wednesday, October 19th

9:00 AM
NIMBIX 
Continuous Integration of Containerized HPC Applications Made Easy
Leo Reiter, Chief Technology Officer



10:00 AM
Allinea Software 
Maximizing Developer Productivity and HPC Resource Utilization
Beau Paisley, Sr. Solution Architect



11:00 AM
Prairie View A&M
A Cloud-based Scalable Seismic Data Analytics Platform
Lei Hung Ph. D., Assistant Professor
Ted Clee



1:00 PM
Dynamic Measurement 
Lightning Analysis for Mapping Faults and Identifying Exploration Sweetspots
H. Roice Nelson, Jr., Founder



2:00 PM
Altair 
Making Energy HPC Accessible, Usable, and Affordable
Joe Lombardo, Executive Director, National Supercomputing Institute & Dedicated Research Network University of Nevada, Las Vegas




ABSTRACTS

Monday, October 17th - 9:30 AM
Dynamic Measurement 
H. Roice Nelson, Jr., Founder

Title:
 Lightning Analysis for Mapping Faults and Identifying Exploration Sweetspots


Abstract:
Lightning strikes occur worldwide. They are not random. Locations are controlled by telluric currents. The NLDN (National Lightning Detection Network) lighting database has collected 18+ years of lightning strike data in the continental United States. The GLD-360 (Global Lightning Database – 360) has collected 5+ years of lightning strike data worldwide. NLDN data is most comprehensive and includes the timing (microseconds), location (150-600 foot horizontal resolution), rise-time (microseconds), peak current (kilo-amperes), polarity (80% of strikes negative), peak-to-zero (microseconds), number of sensors recording the strike, the major and minor axis of triangulated location calculations, chi-squared (quality measurement), and several other attributes for each lightning strike in the continental U. S. Historically these data were collected for insurance, meteorology, and safety markets. These data now support resource exploration like oil & gas, mineral, aquifer, and geothermal.




Monday, October 17th - 10:30 AM

FSG Information Systems
Bill Rickert

Title:
 Workflow: It's back to the Future






Monday, October 17th - 1:00 PM
Rescale
JJ Jones, Account Executive

Title:
 Moving HPC to the cloud





Monday, October 17th - 2:00 PM
Cray
Sverre Brandsberg-Dahl, Global Chief Geophysicist

Title:
 Exploration seismology and the return of the Supercomputer - Exploring scalability for speed in development and delivery





Monday, October 17th - 3:00 PM
Prairie View A&M
Lei Hung Ph. D., Assistant Professor
Ted Clee

Title:
 A Cloud-based Scalable Seismic Data Analytics Platform


Abstract:
Advances in big data analytics are among the promising and valuable techniques in many industrial domains. Will the big data analytics techniques change the traditional methodology of seismic data interpretation in identifying and modeling geological features? Will geophysicists benefit by combining big data analytics techniques to enhance the quality of seismic data interpretation results? Our research aims to answer these questions by creating a cloud-based scalable seismic data analytics platform with deep learning technology, and assessing its applicability in seismic data interpretation. The session will go through the architecture of the platform, present its functionality, as well as the use case of applying deep learning technology on geological faults detection. The work is built on top of Apache Spark and Google TensorFlow deep learning framework. We acknowledge the support of the National Science Foundation for this project through a number of research and innovation grant programs.




Monday, October 17th - 4:00 PM
PCPC Direct 
Eric Collins, Sr. System Architect

Title:
 The Future of High Performance and Supercomputing






Tuesday, October 18th - 9:30 AM
Dynamic Measurement 
H. Roice Nelson, Jr., Founder

Title:
 Lightning Analysis for Mapping Faults and Identifying Exploration Sweetspots


Abstract:
Lightning strikes occur worldwide. They are not random. Locations are controlled by telluric currents. The NLDN (National Lightning Detection Network) lighting database has collected 18+ years of lightning strike data in the continental United States. The GLD-360 (Global Lightning Database – 360) has collected 5+ years of lightning strike data worldwide. NLDN data is most comprehensive and includes the timing (microseconds), location (150-600 foot horizontal resolution), rise-time (microseconds), peak current (kilo-amperes), polarity (80% of strikes negative), peak-to-zero (microseconds), number of sensors recording the strike, the major and minor axis of triangulated location calculations, chi-squared (quality measurement), and several other attributes for each lightning strike in the continental U. S. Historically these data were collected for insurance, meteorology, and safety markets. These data now support resource exploration like oil & gas, mineral, aquifer, and geothermal.




Tuesday, October 18th - 10:30 AM
Cray
Sverre Brandsberg-Dahl, Global Chief Geophysicist

Title:
 Exploration seismology and the return of the Supercomputer - Exploring scalability for speed in development and delivery





Tuesday, October 18th - 1:00 PM
FSG Information Systems
Bill Rickert

Title:
 Workflow: It's back to the Future






Tuesday, October 18th - 2:00 PM

Allinea Software 
Beau Paisley, Sr. Solution Architect

Title:
 Maximizing Developer Productivity and HPC Resource Utilization


Abstract:
Maintaining competitive advantage in the current oil and gas market is a growing challenge. HPC departments are pressured to obtain maximum productivity from their development staff and optimal utilization of existing compute resources. In this presentation Allinea will illustrate how the development tool Forge can be used to ensure program correctness and high performance of HPC codes with minimal effort. The application analytics tool Allinea Performance Reports will be demonstrated to illustrate how to characterize and understand HPC application runs.





Tuesday, October 18th - 3:00 PM

Prairie View A&M
Lei Hung Ph. D., Assistant Professor
Ted Clee

Title:
 A Cloud-based Scalable Seismic Data Analytics Platform


Abstract:
Advances in big data analytics are among the promising and valuable techniques in many industrial domains. Will the big data analytics techniques change the traditional methodology of seismic data interpretation in identifying and modeling geological features? Will geophysicists benefit by combining big data analytics techniques to enhance the quality of seismic data interpretation results? Our research aims to answer these questions by creating a cloud-based scalable seismic data analytics platform with deep learning technology, and assessing its applicability in seismic data interpretation. The session will go through the architecture of the platform, present its functionality, as well as the use case of applying deep learning technology on geological faults detection. The work is built on top of Apache Spark and Google TensorFlow deep learning framework. We acknowledge the support of the National Science Foundation for this project through a number of research and innovation grant programs.





Wednesday, October 19th - 9:00 AM
NIMBIX 
Leo Reiter, Chief Technology Officer

Title:
 Continuous Integration of Containerized HPC Applications Made Easy


Abstract:
Is it possible to automate deployment of containerized HPC applications in the cloud? This session will introduce the new Nimbix process to do just that, without compromising performance, scale, or capabilities. Learn how to leverage readily available services such as the Docker Hub to achieve continuous integration of large scale applications using the state of the art in containerized HPC cloud technologies.




Wednesday, October 19th - 10:00 AM

Allinea Software 
Beau Paisley, Sr. Solution Architect

Title:
 Maximizing Developer Productivity and HPC Resource Utilization


Abstract:
Maintaining competitive advantage in the current oil and gas market is a growing challenge. HPC departments are pressured to obtain maximum productivity from their development staff and optimal utilization of existing compute resources. In this presentation Allinea will illustrate how the development tool Forge can be used to ensure program correctness and high performance of HPC codes with minimal effort. The application analytics tool Allinea Performance Reports will be demonstrated to illustrate how to characterize and understand HPC application runs.




Wednesday, October 19th - 11:00 AM
Prairie View A&M
Lei Hung Ph. D., Assistant Professor
Ted Clee

Title:
 A Cloud-based Scalable Seismic Data Analytics Platform


Abstract:
Advances in big data analytics are among the promising and valuable techniques in many industrial domains. Will the big data analytics techniques change the traditional methodology of seismic data interpretation in identifying and modeling geological features? Will geophysicists benefit by combining big data analytics techniques to enhance the quality of seismic data interpretation results? Our research aims to answer these questions by creating a cloud-based scalable seismic data analytics platform with deep learning technology, and assessing its applicability in seismic data interpretation. The session will go through the architecture of the platform, present its functionality, as well as the use case of applying deep learning technology on geological faults detection. The work is built on top of Apache Spark and Google TensorFlow deep learning framework. We acknowledge the support of the National Science Foundation for this project through a number of research and innovation grant programs.




Wednesday, October 19th - 1:00 PM

Dynamic Measurement 
H. Roice Nelson, Jr., Founder

Title:
 Lightning Analysis for Mapping Faults and Identifying Exploration Sweetspots


Abstract:
Lightning strikes occur worldwide. They are not random. Locations are controlled by telluric currents. The NLDN (National Lightning Detection Network) lighting database has collected 18+ years of lightning strike data in the continental United States. The GLD-360 (Global Lightning Database – 360) has collected 5+ years of lightning strike data worldwide. NLDN data is most comprehensive and includes the timing (microseconds), location (150-600 foot horizontal resolution), rise-time (microseconds), peak current (kilo-amperes), polarity (80% of strikes negative), peak-to-zero (microseconds), number of sensors recording the strike, the major and minor axis of triangulated location calculations, chi-squared (quality measurement), and several other attributes for each lightning strike in the continental U. S. Historically these data were collected for insurance, meteorology, and safety markets. These data now support resource exploration like oil & gas, mineral, aquifer, and geothermal.




Wednesday, October 19th - 2:00 PM
Altair 
Joe Lombardo, Executive Director, National Supercomputing Institute & Dedicated Research Network University of Nevada, Las Vegas

Title:
 Making Energy HPC Accessible, Usable, and Affordable


Abstract: Cloud computing resources hold the promise of providing high-quality, on-demand HPC capacity at higher volumes and lower prices than can be achieved by exploration scientists and HPC teams. However, for highly specialized applications and simulations, this promise is being tempered by the reality of COTS hardware architectures and uncertainty in proximity and communication rates. The solution to these limitations is purpose-built HPC resources that provide the on-demand benefits of general-purpose cloud computing but are architected for specific applications and are managed directly by those with expertise in the relevant architecture. This presentation will explore the application of this philosophy to seismic interpretation, remote visualization and other areas of interest to the geophysicist community.





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