GraphBLAS: Building a C++ Matrix API for Graph Algorithms
matrix algebra for graphs? What are the important data structures and concepts? Prior work in the GraphBLAS community, C API Overview of our draft C++ API How might this interoperate with standard C++, matrix algebra for graphs? What are the important data structures and concepts? Prior work in the GraphBLAS community, C API Overview of our draft C++ API How might this interoperate with standard C++, matrix algebra for graphs? What are the important data structures and concepts? Prior work in the GraphBLAS community, C API Overview of our draft C++ API How might this interoperate with standard C++,0 码力 | 172 页 | 7.40 MB | 5 月前3Distributed Ranges: A Model for Building Distributed Data Structures, Algorithms, and Views
{ auto&& [i, j] = idx; print(“Tuple at idx {}, {} with value {}\n”, i, j, v); } - GraphBLAS sparse matrix concept: unordered iteration through matrix tuplesDense and Sparse Matrices sparse_matrixcolumn iteration. */ for (auto&& [j, column] : columns(x)) { /* Do something with column */ } - GraphBLAS sparse matrix concept: unordered iteration through matrix tuples - (Possibly some additional column iteration. */ for (auto&& [j, column] : columns(x)) { /* Do something with column */ } - GraphBLAS sparse matrix concept: unordered iteration through matrix tuples - (Possibly some additional 0 码力 | 127 页 | 2.06 MB | 5 月前3POCOAS in C++: A Portable Abstraction for Distributed Data Structures
berkeley.edu/~brock Links Pointers Interested in irregular data structures? Check out my other talk: GraphBLAS: Building a C++ Matrix API for Graph Algorithms (CppCon’21) Hire me!0 码力 | 128 页 | 2.03 MB | 5 月前3generic graph libraries
merge, BinaryFunction1 combine,BinaryFunction2 reduce) ; *Implementation, requirements TBD. *。(cf“GraphBLAS: Building a C++ Matrix APl for Graph Algorithms”) Sparse Matrix-Matrix Product0 码力 | 76 页 | 6.59 MB | 5 月前3julia 1.10.10
be mentioned: 1. SuiteSparseGraphBLAS.jl is a wrapper over the fast, multithreaded SuiteSparse:GraphBLAS C library. On CPU this is typically the fastest option, often significantly outperforming MKLSparse0 码力 | 1692 页 | 6.34 MB | 3 月前3Julia 1.10.9
be mentioned: 1. SuiteSparseGraphBLAS.jl is a wrapper over the fast, multithreaded SuiteSparse:GraphBLAS C library. On CPU this is typically the fastest option, often significantly outperforming MKLSparse0 码力 | 1692 页 | 6.34 MB | 3 月前3Julia 1.11.4
be mentioned: 1. SuiteSparseGraphBLAS.jl is a wrapper over the fast, multithreaded SuiteSparse:GraphBLAS C library. On CPU this is typically the fastest option, often significantly outperforming MKLSparse0 码力 | 2007 页 | 6.73 MB | 3 月前3Julia 1.11.5 Documentation
be mentioned: 1. SuiteSparseGraphBLAS.jl is a wrapper over the fast, multithreaded SuiteSparse:GraphBLAS C library. On CPU this is typically the fastest option, often significantly outperforming MKLSparse0 码力 | 2007 页 | 6.73 MB | 3 月前3Julia v1.9.4 Documentation
be mentioned: 1. SuiteSparseGraphBLAS.jl is a wrapper over the fast, multithreaded SuiteSparse:GraphBLAS C library. On CPU this is typically the fastest option, often significantly outperforming MKLSparse0 码力 | 1644 页 | 5.27 MB | 1 年前3Julia 1.9.0 DEV Documentation
be mentioned: 1. SuiteSparseGraphBLAS.jl is a wrapper over the fast, multithreaded SuiteSparse:GraphBLAS C library. On CPU this is typically the fastest option, often significantly outperforming MKLSparse0 码力 | 1633 页 | 5.23 MB | 1 年前3
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