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28.9 MB
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C2BF223DD0E5108A89DE6F819AE439FF9C8A5B33
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June 8, 2025, 1:27 p.m.
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(Last updated: June 9, 2025, 7:42 p.m.)
| File | Size |
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| ['Eijkhout V. The Art of High Performance Computing Vol 2. 2ed 2024.pdf'] | 0 bytes |
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45.1 MB
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2025-06-08
| Uploaded by andryold1 | Size 45.1 MB | Health [ 45 /15 ] | Added 2025-06-08 |
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28.9 MB
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2025-06-08
| Uploaded by andryold1 | Size 28.9 MB | Health [ 26 /10 ] | Added 2025-06-08 |
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SOURCE: Eijkhout V. The Art of High Performance Computing Vol 2. 2ed 2024
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COVER
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MEDIAINFO
Textbook in PDF format Much of scientific computing involves parallel programming of some sort. This book is the ultimate introduction to modern versions of MPI and OpenMP, with shorter sections on PETSc, Kokkos, Sycl, Co-array Fortran. The term ‘parallel computing’ means different things depending on the application area. In this book we focus on parallel computing – and more specifically parallel programming; we will not discuss a lot of theory – in the context of scientific computing. Two of the most common software systems for parallel programming in scientific computing are MPI and OpenMP. They target different types of parallelism, and use very different constructs. Thus, by covering both of them in one book we can offer a treatment of parallelism that spans a large range of possible applications. Finally, we also discuss the PETSc (Portable Toolkit for Scientific Computing) library, which offers an abstraction level higher than MPI or OpenMP, geared specifically towards parallel linear algebra, and very specifically the sort of linear algebra computations arising from Partial Differential Equation modeling. The main languages in scientific computing are C/C++ and Fortran. We will discuss both MPI and OpenMP with many examples in these two languages. For MPI and the PETSc library we will also discuss the Python interfaces
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