[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 cvMuNKCATIOWS 有二有 灿瑟必帮 和一是/第 手太则光大 A，训四 昱 站 -本| 厅 是，主 半一司、|全之体 ~ 对 /人-看 奋才全 和 全原 和 刁曾 The Future ls Big Graph: on meetalThngs soneaiadman MD] Basic Principles *。The C++ standard library (nee STL) provides

Müller — @foonathan Express your expectations CppCon 2023-10-03 1tc::json::parser Extract some JSON members tc nlohmann RapidJSON Boost.JSON simdjson 0 10 20 30 40 Library Time in ms fully validating expectations CppCon 2023-10-03 2(JSON) Parser design What is a parser? Jonathan Müller — @foonathan Express your expectations CppCon 2023-10-03 3Javascript Object Notation (JSON) Jonathan Müller — @foonathan @foonathan Express your expectations CppCon 2023-10-03 4Javascript Object Notation (JSON) Idea: Human-readable serialization of Javascript objects. Jonathan Müller — @foonathan Express your expectations CppCon

Selection ✓ Order by ❏ Group by ✓ Query ✓ Limit ✓ Expression Compatibility ✓ Join ✓ Subquery ✓ Graph traverse ✓ Out direction ✓ In direction ✓ Bidirection ✓ Edge traverse ✓ Distinct Index 01.

Scott, Principal Engineer at CMU SEI Graph/ML/AI algorithms for large- and small- scale parallel systems. Working on GBTL, a linear algebra-based C++ library for graph analytics.[DISTRIBUTION STATEMENT 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 GraphBLAS community, C API Overview of our draft C++ API How might this interoperate with standard C++, graph library proposal? 5[DISTRIBUTION STATEMENT A] This material has been approved for public release

Using the Microsoft Graph API to get Office 365 data in your mobile apps Alex Ziskind Technical Director @digitalix www.nuvious.com Hi, I’m Alex From + 750 Million 50 Million per month Problems

top-down task graph What is Task Graph-based Programming System (TGPS) Code 4• TGPS encapsulates function calls and their dependencies in a top-down task graph What is Task Graph-based Programming task graph What is Task Graph-based Programming System (TGPS) Code A B C D B A C D 6• TGPS encapsulates function calls and their dependencies in a top-down task graph What is Task Graph-based precede(task_d); 19 20 sched.schedule(); 21 sched.wait(); B A C D 1. Easy to write and express a task graph 2. Allow to implement irregular parallel decomposition strategies 8Existing TGPSs on Heterogenous

(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

…But how do we sort DEPENDENCIES between each pass?Directed Acyclic Graph (DAG) Core idea: ● Represent the frame as a Directed Acyclic Graph (DAG). ● Each pass is represented as a vertex. ● Vertices depend on itself (acyclic). ● Once the graph is built, topological sort to get the order of execution.Directed Acyclic Graph (DAG) 1 2 3 4 5 6 7 1 2 3 4Directed Acyclic Graph (DAG) 1 2 3 4 cycles!Directed Acyclic Graph (DAG) 1 2 3 4 5 6 7 1 2 3 4 Valid No cycles!Directed Acyclic Graph (DAG) 1 2 3 4 5 6 7 1 2 3 4 Valid No cycles!Directed Acyclic Graph (DAG) 1 2 3 4

Module Module Module Input Tables Computing Task Result Table Pipeline = Directed Acyclic Graph (DAG) of modules Module = Input + Task + Output Task = Query or external program Query = “CREATE behavioral pattern in the time series data • Or even... randomly Example: Finding a shortest path in the graph • Iterating Example: Training a regression model • Handling domain-specific data Example: Computing • By character • By token • Popular among ML algorithm engineers Simdjson • An extremely fast JSON parser based on AVX2 Instruction Set • Structured data extraction (JSONExtract) • We can pass the

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