@TechReport{ober:1996:seismic,
  author = {Curtis Ober and Ron Oldfield and John VanDyke and David Womble},
  title = {Seismic Imaging on Massively Parallel Computers},
  year = {1996},
  month = {April},
  number = {SAND96-1112},
  institution = {Sandia National Laboratories},
  URL = {ftp://ftp.cs.sandia.gov/pub/papers/dewombl/seismic_imaging_mpp.ps.Z},
  keywords = {multiprocessor application, scientific computing, seismic data
  processing, parallel I/O, pario-bib},
  abstract = {Fast, accurate imaging of complex, oil-bearing geologies, such as
  overthrusts and salt domes, is the key to reducing the costs of domestic oil
  and gas exploration. Geophysicists say that the known oil reserves in the
  Gulf of Mexico could be significantly increased if accurate seismic imaging
  beneath salt domes was possible. A range of techniques exist for imaging
  these regions, but the highly accurate techniques involve the solution of the
  wave equation and are characterized by large data sets and large
  computational demands. Massively parallel computers can provide the
  computational power for these highly accurate imaging techniques. \par A
  brief introduction to seismic processing will be presented, and the
  implementation of a seismic-imaging code for distributed memory computers
  will be discussed. The portable code, Salvo, performs a wave-equation-based,
  3-D, prestack, depth imaging and currently runs on the Intel Paragon, the
  Cray T3D and SGI Challenge series. It uses MPI for portability, and has
  sustained 22 Mflops/sec/proc (compiled FORTRAN) on the Intel Paragon.}
}