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GraphBLAS
@GraphBLAS
Followers
331
Following
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News related to the GraphBLAS API and its community. GraphBLAS implementations, graph algorithms in linear algebra and graph processing on specialized hardware.
Joined July 2020
RT @DocSparse: And finally, here's John Gilbert's talk on graphs and sparse matrices @JuliaConOrg '23, on @GraphBLAS and many other things:…
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RT @sophiamyang: I learned so much from @eriknwelch's keynote at @pyconhk: How to accelerate NetworkX with GraphBLAS and cuGraph. Amazing…
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RT @DocSparse: Here's a link to my JuliaCon 2023 keynote talk on @GraphBLAS and its impact on @JuliaLanguage, @MATLAB,
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RT @DocSparse: Speeding up graph algorithms in python by up to 21,000x. 🔥 via a NetworkX+@anacondoninc+@GraphBLAS collaboration: NetworkX…
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RT @szarnyasg: I'm at @Supercomputing 2022 in Dallas and would be happy to chat about @LDBCouncil benchmarks and @GraphBLAS applications. S…
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RT @DocSparse: @NicoleHemsoth I'll be at the Graph Toolkit and @GraphBLAS BoF: GraphBLAS uses sparse linear algeb…
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RT @DocSparse: @GraphBLAS SIAM News article: graph algorithms via linear algebra over semirings, using sparse matrices. Already a part of…
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RT @DocSparse: I have 2 PhDs who will finish this year: @aznaveh1 working on parallel sparse LU & @Jin_hao_Chen working on exact update/dow…
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RT @DocSparse: @GraphBLAS speeds up sparse matrices in Julia by up to 1000x (for C[I,J]=A). C=A*B, C=A+B, C=A' etc are 2x to 30x faster (10…
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SuiteSparse:GraphBLAS v6.1.4 is out with improved documentation and compile-time flags for cpu_features. It's the first version thoroughly tested on Apple Silicon (thanks to @szarnyasg).
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RT @LDBCouncil: This paper presents a benchmark for the incremental evaluation of graph queries on the LDBC social network data sets. It in…
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RT @Underfox3: In this paper, researchers presented 4 new algorithms for performing parallel masked SpGEMM which, in most cases scenarios,…
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