PETSc/TAO Users Manual: Revision 3.18

Technical Report · Tue Oct 25 00:00:00 EDT 2022

DOI:https://doi.org/10.2172/1893326· OSTI ID:1893326

Balay, S. ^[1]; Abhyankar, S. ^[2]; Adams, M. F. ^[3]; Benson, S. ^[1]; Brown, J. ^[4]; Brune, P. ^[1]; Buschelman, K. ^[1]; Constantinescu, E. M. ^[1]; Dalcin, L. ^[5]; Dener, A. ^[1]; Eijkhout, V. ^[6]; Faibussowitsch, J. ^[7]; Gropp, W. D. ^[7]; Hapla, V. ^[8]; Isaac, T. ^[9]; Jolivet, P. ^[10]; Karpeyev, D. ^[1]; Kaushik, D. ^[1]; Knepley, M. G. ^[11]; Kong, F. ^[12] ; Kruger, S. ^[13]; May, D. A. ^[14]; McInnes, L. Curfman ^[1]; Mills, R. Tran ^[1]; Mitchell, L. ^[15]; Munson, T. ^[1]; Roman, J. E. ^[16]; Rupp, K. ^[17]; Sanan, P. ^[18]; Sarich, J. ^[1]; Smith, B. F. ^[19]; Zampini, S. ^[5]; Zhang, H. ^[20]; Zhang, H. ^[1]; Zhang, J. ^[1]

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1. Argonne National Lab. (ANL), Argonne, IL (United States)
2. Argonne National Lab. (ANL), Argonne, IL (United States); Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
3. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
4. Argonne National Lab. (ANL), Argonne, IL (United States); Univ. of Colorado, Boulder, CO (United States)
5. King Abdullah University of Science and Technology (KAUST), Thuwal (Saudi Arabia)
6. Univ. of Texas, Austin, TX (United States)
7. Argonne National Lab. (ANL), Argonne, IL (United States); Univ. of Illinois, Urbana-Champaign, IL (United States)
8. ETH Zurich (Switzerland)
9. Argonne National Lab. (ANL), Argonne, IL (United States); Georgia Inst. of Technology, Atlanta, GA (United States)
10. Toulouse Inst. of Computer Science Research (France)
11. Argonne National Lab. (ANL), Argonne, IL (United States); Univ. at Buffalo, NY (United States)
12. Argonne National Lab. (ANL), Argonne, IL (United States); Idaho National Lab. (INL), Idaho Falls, ID (United States)
13. Tech-X Corporation (United States)
14. Univ. of Oxford (United Kingdom); Univ. of California, San Diego, CA (United States)
15. NVIDIA Corporation, Santa Clara, CA (United States); Durham Univ. (United Kingdom)
16. Univ. Politècnica de València (Spain)
17. Argonne National Lab. (ANL), Argonne, IL (United States); TU Wien, Vienna (Austria)
18. Argonne National Lab. (ANL), Argonne, IL (United States); ETH Zurich (Switzerland)
19. Argonne National Lab. (ANL), Argonne, IL (United States); Flatiron Institute, New York, NY (United States)
20. Argonne National Lab. (ANL), Argonne, IL (United States); Illinois Institute of Technology, Chicago, IL (United States)

This manual describes the use of the Portable, Extensible Toolkit for Scientific Computation (PETSc) and the Toolkit for Advanced Optimization (TAO) for the numerical solution of partial differential equations and related problems on high-performance computers. PETSc/TAO is a suite of data structures and routines that provide the building blocks for the implementation of large-scale application codes on parallel (and serial) computers. PETSc uses the MPI standard for all distributed memory communication.

• Research Organization: Argonne National Laboratory (ANL), Argonne, IL (United States)
• Sponsoring Organization: USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
• DOE Contract Number: AC02-06CH11357
• OSTI ID: 1893326
• Report Number(s): ANL-21/39 Rev 3.18; 179042
• Country of Publication: United States
• Language: English

Related Subjects

97 MATHEMATICS AND COMPUTING