The surface pressure distribution on a 

 High Speed Civil Transport aircraft is 

 simulated using an Intel iPSC/860 high 

 performance computer with 32 proces- 

 sors. Areas of highest pressure are in 

 red. areas of lowest pressure are dark 

 violet. 



High Performance Networking 



NASA continues to develop and deploy advanced net- 

 working technologies to allow researchers and educa- 

 tors to carry out collaborative research and educational 

 activities. NASA has entered into a cooperative effort 

 with DOE to procure network services that will operate 

 at 45 Mb/s using synchronous optical fiber network stan- 

 dards. The two agencies are working closely to provide 

 a nationwide fiber optic network that will meet HPCC 

 research communications needs and serve as the foun- 

 dation for even faster networks ranging from 155 Mb/s 

 to eventual gigabit speeds. 



Software on Parallel Computers 



NASA's Ames Research Center has ported single disci- 

 pline computational fluid dynamics code to a number of 

 scalable parallel computers. The objective is to perform 

 multidisciplinary optimization of a High Speed Civil 

 Transport vehicle and the takeoff and landing of a sim- 

 ple powered lift vehicle (described on pages 126-128 in 

 the Case Studies section). The optimization will consid- 

 er aerodynamic efficiency, structural weight, and propul- 

 sion system performance. The multidisciplinary analysis 

 will be performed by solving the governing equations for 

 each discipline concurrently on a parallel computer. 

 Developing scalable algorithms for the solution of this 

 problem will also be central to demonstrating the poten- 

 tial for teraflops execution speed on a massively parallel 

 computer. 



High Speed Civil Transport (HSCT) 



NASA's Langley Research Center is working to improve 

 the processes for the design and analysis of HSCT 

 using advanced computational fluid dynamics and struc- 

 tural analyses. A set of highly optimized software tools 

 has been created that can be used to implement irregu- 

 lar computations on massively parallel machines. 

 These tools can be used both manually by users and by 

 distributed memory compilers to automatically paral- 

 lelize irregular codes. 



Benchmarking Multidisciplinary Codes on Parallel 

 Supercomputers 



NASA's Ames Research Center has developed and 



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