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  • pdf文档 GraphBLAS: Building a C++ Matrix API for Graph Algorithms

    structures and algorithms for parallel programs. Working on C++ library of distributed data structures. Please hire me! About Us 2 Scott, Principal Engineer at CMU SEI Graph/ML/AI algorithms for large- large- and small- scale parallel systems. Working on GBTL, a linear algebra-based C++ library for graph analytics.[DISTRIBUTION STATEMENT A] This material has been approved for public release and unlimited GraphBLAS community, C API Overview of our draft C++ API How might this interoperate with standard C++, graph library proposal? 4[DISTRIBUTION STATEMENT A] This material has been approved for public release
    0 码力 | 172 页 | 7.40 MB | 6 月前
    3
  • pdf文档 Graph streaming algorithms - CS 591 K1: Data Stream Processing and Analytics Spring 2020

    (Vasia) Kalavri
 vkalavri@bu.edu Spring 2020 4/28: Graph Streaming ??? Vasiliki Kalavri | Boston University 2020 Modeling the world as a graph 2 Social networks friend follows The web Actor-movie results for the search term “graph” ??? Vasiliki Kalavri | Boston University 2020 Basics 1 5 4 3 2 “node” or “vertex” “edge” 1 5 4 3 2 undirected graph directed graph 4 ??? Vasiliki Kalavri Kalavri | Boston University 2020 Graph streams Graph streams model interactions as events that update an underlying graph structure 5 Edge events: A purchase, a movie rating, a like on an online post
    0 码力 | 72 页 | 7.77 MB | 1 年前
    3
  • pdf文档 generic graph libraries

    [tile] DB libraries, and large-scale graph analytics. Open-source software projects resulting from his work include the Matrix Template Library, the Boost Graph Library and Open MPI. 。Phil Ratzloff *。Distinguished relationships between elements of a data set *,Without regard to what the data set actually is *。 Graph theoretical (abstract) results can be applied to many different practical (concrete) problems -theory 全原 和 刁曾 The Future ls Big Graph: on meetalThngs soneaiadman MD] Basic Principles *。The C++ standard library (nee STL) provides a rich set of “one- dimensional”algorithms and data structures (but not
    0 码力 | 76 页 | 6.59 MB | 6 月前
    3
  • pdf文档 Constructing Generic Algorithms

    CONSTRUCTING GENERIC CONSTRUCTING GENERIC ALGORITHMS ALGORITHMS BEN DEANE / BEN DEANE / 16TH SEPTEMBER 2020 16TH SEPTEMBER 2020 @ben_deane @ben_deane 1WHAT WE'LL COVER WHAT WE'LL COVER Preliminaries: to further work 2 . 1ALGORITHMS: THE SOUL OF THE STL ALGORITHMS: THE SOUL OF THE STL 3 . 1A WORD ABOUT RANGES A WORD ABOUT RANGES -- Everyone (justifying ranges) "STL algorithms are not composable." " "STL algorithms are not composable." 4 . 1A WORD ABOUT RANGES A WORD ABOUT RANGES What, just because What, just because transform_copy_if transform_copy_if doesn't exist? doesn't exist? -- Everyone
    0 码力 | 145 页 | 8.44 MB | 6 月前
    3
  • pdf文档 Back To Basics Algorithms

    Back to Basics: Algorithms Klaus Iglberger, CppCon 2023 klaus.iglberger@gmx.de2 Klaus Iglberger C++ Trainer/Consultant Author of “C++ Software Design” Chair of the CppCon Software Design track Implementations of the common data collections • Algorithms: work on the data contained in containers • Iterators: The glue between containers and algorithms 4The STL in a Nutshell 5The STL in a Nutshell Implementations of the common data collections • Algorithms: work on the data contained in containers • Iterators: The glue between containers and algorithms 6Back To Basics - Iterators on Tuesday at 2pm
    0 码力 | 99 页 | 19.12 MB | 6 月前
    3
  • pdf文档 Advanced SIMD Algorithms in Pictures

    Advanced SIMD Algorithms in Pictures ADVANCED SIMD ALGORITHMS IN PICTURES Denis Yaroshevskiy hapsydenisyaroshevskiygithubialpresentaton res html Advanced SIMD Algorithms in Pictures 6 1015123. 10.53 PM Advanced SIMD Algorithms in Pictures MEMCMP hp Advanced SIMD Algorithms in Pictures hpsyidenisyaroshevskiy gihub_olpresentatonsidyarashev_prasentatonslconferance_tal
    0 码力 | 96 页 | 4.55 MB | 6 月前
    3
  • pdf文档 Rust算法教程 The Algos (algorithms)

    2024/3/7 20:44 Rust算法教程 The Algos (algorithms) https://algo.course.rs/print.html 1/270 Algos算法教程 Rust作为⼀⻔现代化的系统编程语⾔,拥有与C/C++类似的性能,同时⼜能做⾮常底层的性能优 化,因此⾮常适合写算法和leetcode。 Algos 算法教程涵盖了各种常⽤算法和数据结构的代码实现, 我们深知⾃身⽔平的局限性,因此⾮常欢迎各路⼤神加⼊进来,共同打造这⻔未来可以在中国乃⾄ 全世界都排得上号的算法教程! 2024/3/7 20:44 Rust算法教程 The Algos (algorithms) https://algo.course.rs/print.html 2/270 排序算法 所谓排序,就是使⼀串记录,按照其中的某个或某些关键字的⼤⼩,递增或递减的排列起来的操 作。 ,得经过⼤量的推理和分析。 2024/3/7 20:44 Rust算法教程 The Algos (algorithms) https://algo.course.rs/print.html 3/270 2024/3/7 20:44 Rust算法教程 The Algos (algorithms) https://algo.course.rs/print.html 4/270 冒泡排序 pub
    0 码力 | 270 页 | 8.46 MB | 1 年前
    3
  • pdf文档 5 How to integrate Graph mode into RDBMS smoothly

    Selection ✓ Order by ❏ Group by ✓ Query ✓ Limit ✓ Expression Compatibility ✓ Join ✓ Subquery ✓ Graph traverse ✓ Out direction ✓ In direction ✓ Bidirection ✓ Edge traverse ✓ Distinct Index 01.
    0 码力 | 26 页 | 1.14 MB | 1 年前
    3
  • pdf文档 9 盛泳潘 When Knowledge Graph meet Python

    Knowledge Graph meet Python Yongpan Sheng 目录 CONTENTS The Pipeline of Knowledge Graph Construction by Data- driven manner Python Tools for Graph Data Management Domain-specific Knowledge Graph Construction relation, object>  Mapping from natural questions to structured queries executable on knowledge graph (机器的潜台词:“我”会推理,so easy !)。 所以,通俗的来说,在AI system中:要么从原有的知识体系中直接提取信息来使用,要 么进行推理。 将知识融合在机器中,使机器能够利 BigKE将显著提升机器的认知水平。 Preliminaries 本页PPT借鉴于复旦大学肖仰华老师《大数据时代的知识工程与知识管理》 Knowledge Graph – KG引领KE复兴  Knowledge graph is a large-scale semantic network consisting of entities and concepts as well as
    0 码力 | 57 页 | 1.98 MB | 1 年前
    3
  • pdf文档 Distributed Ranges: A Model for Building Distributed Data Structures, Algorithms, and Views

    LinkProject Goals - Offer high-level, standard C++ distributed data structures - Support distributed algorithms - Achieve high performance for both multi-GPU, NUMA, and multi-node execution float dot_p Parallelism, Distributed Data Structures) - Distributed Ranges (Concepts) - Implementation (Algorithms and views) - Complex Data Structures (Dense and sparse matrices) - Lessons learnedOutline Parallelism, Distributed Data Structures) - Distributed Ranges (Concepts) - Implementation (Algorithms and views) - Complex Data Structures (Dense and sparse matrices) - Lessons learnedStandard
    0 码力 | 127 页 | 2.06 MB | 6 月前
    3
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