Simulations of transition and turbulence on the Navier-Stokes computer
Creators
Description
The Navier-Stokes Computer (NSC) consists of multiple local memory parallel processors interconnected in a hypercube network. Efficient implementation of algorithms on the NSC thus requires the effective utilization of both the coarse and fine grain paralelism inherent in the architectural design. The basic approach to implementing an algorithm on the NSC is presented herein. The particular finite-difference algorithm considered was developed for performing transition and turbulence simulations by direct solution of the time-dependent incompressible Navier-Stokes equations. The suitability of this algorithm for performing simulations of the isotropic turbulence problem is verified from computations performed on a Cray 2. Projected timing results for the algorithm on the NSC itself are presented for both the isotropic turbulence and laminar turbulent transition problems. 7 references
Additional details
Publishing Information
- Publisher
- American Institute of Aeronautics and Astronautics.
- Imprint Place
- New York, NY (USA)
- Imprint Title
- Computational Fluid Dynamics Conference, 8th, Honolulu, HI, June 9-11, 1987, Technical Papers
- Journal Page Range
- p. 87-98.
Conference
- Title
- 8. American Institute of Aeronautics and Astronautics computational fluid dynamics conference.
- Dates
- 9-11 Jun 1987.
- Place
- Honolulu, HI (USA).
INIS
- Country of Publication
- United States
- Country of Input or Organization
- United States
- INIS RN
- 19006553
- Subject category
- S75: CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY; S99: GENERAL AND MISCELLANEOUS;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- ALGORITHMS; BOUNDARY LAYERS; COMPUTER ARCHITECTURE; COMPUTERIZED SIMULATION; FINITE DIFFERENCE METHOD; NAVIER-STOKES EQUATIONS; PARALLEL PROCESSING; SUPERCOMPUTERS; TRANSITION FLOW; TURBULENT FLOW; VORTICES
- Descriptors DEC
- COMPUTERS; DIFFERENTIAL EQUATIONS; DIGITAL COMPUTERS; EQUATIONS; FLUID FLOW; ITERATIVE METHODS; LAYERS; NUMERICAL SOLUTION; PARTIAL DIFFERENTIAL EQUATIONS; PROGRAMMING; SIMULATION