AWS HPC Blog
Author: Jyothi Venkatesh
Jyothi Venkatesh is an HPC Solutions Architect at AWS focused on building optimized solutions for HPC customers in different industry verticals including Health Care Life Sciences and Oil & Gas. Prior to joining AWS, she has spent close to 10 years in HPC both as a software engineer working on Parallel IO contributing to OpenMPI as well as a systems engineer at Dell leading the engineering development of Lustre Storage Solution for the HPC storage portfolio. She holds an M.S. in Computer Science from University of Houston.
Price-Performance Analysis of Amazon EC2 GPU Instance Types using NVIDIA’s GPU optimized seismic code
Seismic imaging is the process of positioning the Earth’s subsurface reflectors. It transforms the seismic data recorded in time at the Earth’s surface to an image of the Earth’s subsurface. This is done by back-propagating data from time to space in a given velocity model. Kirchhoff depth migration is a well-known technique used in geophysics for seismic imaging. Kirchhoff time and depth migration produce an image with higher resolution and generate an image of the subsurface for a subset class of the data, providing valuable information about the petrophysical properties of the rocks and helps to determine how accurate the velocity model is. This blog post looks at the price-performance characteristics computing Kirchhoff migration methods on GPUs using Nvidia’s GPU-optimized code.