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

(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

[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

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

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

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

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

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

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