Lunch and Learn in Calgary

Accelerating Compute Intensive Applications
for the Oil & Gas Industry

Join HP and Acceleware for this complimentary lunch and learn as we present the latest accelerated technologies for oil and gas exploration.

Agenda

  • An overview of today’s hardware accelerators
  • Performance Profiling: How to identify applications that benefit from accelerators
  • Commercial case studies
    • RTM implemented on Xeon Phi Coprocessors
    • FWI implemented on GPUs
    • CSEM Modeling implemented on multi-core CPUs
  • HP high performance computing solutions

Many computationally intensive applications, such as reverse time migration (RTM), full waveform inversion (FWI), controlled source electromagnetic (CSEM) modeling, reservoir simulation and petrophysical inversion can be accelerated through multi-core hardware. Acceleware is the expert in reducing computational cost through parallel processing; specializing in developing, porting and optimizing high performance software.

This informative lunch and learn will provide a summary of the current capabilities of today’s hardware accelerators and outline how to identify applications that will benefit from accelerators.

A collection of commercial case studies will be shared. Project steps, key optimization techniques and performance results will be discussed.

HP will provide an overview of their high performance computing solutions for the oil and gas industry.

Attendees will have the opportunity to interact with colleagues, hear from industry experts and gain an insight into the world of accelerated technologies for oil and gas. Technical staff will be available to discuss first-hand the computing challenges facing your organisation.

Speakers

Alan Whyte, Infrastructure Solution Architect, HP Enterprise Group
HP offers a broad spectrum of high performance computing solutions, from workgroup and departmental servers to systems designed for the engineering enterprise and supercomputing centers. HP delivers innovative, industry standard servers that are optimized for scalability, performance/$ and performance/watt to reduce your capital and operating expenses.

Dan Cyca, Chief Technology Officer, Acceleware Ltd.
Regarded as a leading mind in the field of parallel processing, Dan has extensive experience working with GPUs, clusters and multi-core solutions. Dan leads Acceleware’s software development group. Prior to Acceleware, Dan’s experience included developing 'C-to-hardware' compilers, and implementing digital signal processing and encryption algorithms on FPGAs.