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The goals of the Stanford Earth Sciences Algorithms and Architectures Initiative (SESAAI) are to:

  • Evaluate modern High Performance Computing (HPC) architectures for reservoir-simulation and seismic-imaging algorithms.
  • Develop new algorithms that take advantage of modern HPC architectures.
  • Develop “data streaming” abstractions that facilitate efficient porting of reservoir-simulation and seismic-imaging codes to modern HPC architectures.
  • Influence the future technological offering by Information Technology (IT) companies to better meet needs of reservoir-simulation and seismic-imaging algorithms.


High performance computing has entered a period of rapid change. The emergence of multi-core and many-core architectures, along with the increasing competitiveness of hardware accelerators such as General Purpose Graphical Processing Units (GPGPU) and Field Programmable Gate Arrays (FPGA), present opportunities of rapid cost and performance gains.

However, it also creates great uncertainty on which, among all the possible modern HPC architectures, best fits the computational needs of Earth Sciences. Furthermore, taking full advantage of these architectures will require more than simple adaptation of existing algorithms to new hardware; it will require the design of new numerical algorithms and the development of new programming models that enable fast and efficient implementation.

In the past few years, the Center for Computational Earth and Environmental Science (CEES) has been successful in exploring the opportunities and challenges introduced by new architectures. It has collaborated with IT vendors by providing clear description of important industry specific methods that could be better supported by future hardware devices. CEES also has an ongoing collaboration with the Pervasive Parallelism Laboratory in the Computer Sciences Department at Stanford.

2015 SESAAI Affiliate Members

  • BP
  • Chevron
  • ExxonMobil
  • Hess
  • Intel
  • Nvidia
  • Petrobras
  • PGS
  • Saudi Aramco
  • Schlumberger

Becoming A Member

Membership in the Stanford Earth Sciences Algorithms and Architectures Initiative (SESAAI) is open to any company and research organization in exchange for an annual membership fee of $20,000 per year. An Industrial Affiliate Agreement is signed by the affiliate company and Stanford University. The Affiliate Agreement is substantially the same for all members. Please read "Stanford University Policies Affecting Industrial Affiliates Program Memberships" for additional information.

Program Benefits:

  • Invitations to annual meetings and workshops
  • Faculty liaison
  • Student recruitment opportunities
  • Copies of reports and PhD theses
  • Campus visits

Members may decide to provide additional funding to support an area of ongoing research of particular interest. All research results arising from the use of this additional funding will be shared by all program members and the general public.

If you need more details about SESAAI, please contact Bob Clapp.

Potential Post-Docs

We are currently looking for one to two post docs.

home_page.txt · Last modified: 2017/03/07 18:49 by bob