GraphBLAS: Building a C++ Matrix API for Graph Algorithms## +21 ## GraphBLAS: Building a C++ Matrix API for Graph Algorithms BENJAMIN BROCK, SCOTT MCMILLAN 20 21 October 24-29 ## About Us ![Image](/uploads/documents/e/7/5/a/e75ae90af61e15b82b344610c6597bfa/p2_1 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 | 1 年前3- Distributed Ranges: A Model for Building Distributed Data Structures, Algorithms, and Views|1|1|2| |2|2|0| |2|2|1| |2|2|3| |3|3|2| COO Format intel labs ## Dense and Sparse Matrices - GraphBLAS sparse matrix concept: unordered iteration through matrix tuples sparse_matrix
x = read_matrix("a print("Tuple at idx {}, {} with value {}\\n", i, j, v); } ## Dense and Sparse Matrices GraphBLAS sparse matrix concept: unordered iteration through matrix tuples (Possibly some additional CPOs0 码力 | 127 页 | 2.06 MB | 1 年前3 - generic graph librariesBinaryFunction1 combine, BinaryFunction2 reduce); • Implementation, requirements TBD. • (cf. “GraphBLAS: Building a C++ Matrix API for Graph Algorithms”) ## Sparse Matrix-Matrix Product0 码力 | 76 页 | 6.59 MB | 1 年前3 POCOAS in C++: A Portable Abstraction for Distributed Data Structures2042aebd90131f/p128_2.jpg) Interested in irregular data structures? Check out my other talk: GraphBLAS: Building a C++ Matrix API for Graph Algorithms (CppCon'21)0 码力 | 128 页 | 2.03 MB | 1 年前3 Julia 1.9.3 Documentationbe 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 | 2 年前3 Julia 1.9.0 rc1 Documentationbe 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 | 2 年前3 Julia 1.10.0 rc3 Documentationbe 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 | 1691 页 | 5.99 MB | 2 年前3 Julia 1.10.0 beta1 Documentationbe 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 | 1681 页 | 5.96 MB | 2 年前3 Julia 1.9.0 DEV Documentationbe 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 | 2 年前3 Julia 1.10.0 beta2 Documentationbe 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 | 1682 页 | 5.96 MB | 2 年前3
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GraphBLAS矩阵接口C++稀疏矩阵半环分布式范围分布式数据结构分段处理分布式算法并行计算C++20图Boost Graph Library概念范围远程指针类型数据分布性能抽象实现Documentation systemDebuggingREPLReflection/introspectionCompiler/Runtime improvementsJuliaCrashesMetaprogrammingReflection1.10rc3DocumentationSegfaultsGCheap sizeVersion infoCommand-line switchesModule(rels: sym in names(m))Control FlowUnit TestingHeap SizeJulia 版本信息@doc macro