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

[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

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

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

Apex.AI. CppCon 2023 Building bridges: Leveraging C++ and ROS for simulators, sensor data and algorithms Divya Aggarwal October 5, 2023© 2023 Apex.AI, Inc. | All rights reserved. Apex.AI, Apex.OS inputs. • We can take the example of testing and validation of perception algorithms for autonomous vehicles. • Perception algorithms process sensor data (from LiDAR, cameras) and perceive the environment Grace, Apex.Ida, Apex.Alan, Apex.Ray are trademarks of Apex.AI. Determinism with simulators and algorithms What is missing? 16 Simulation run 1: Camera image: [ Image 1] Detected pedestrians: [Pedestrian

Design patterns for error handling in C++ programs using parallel algorithms and executors Mark Hoemmen* mhoemmen@stellarscience.com CppCon 2020 * hoʊ’mən, or hœm’mən; he/himWho am I? • > 10 years post-PhD experience writing parallel C++ for science and engineering • Background: Parallel algorithms for big linear algebra problems • 1st WG21: Nov 2017 • Started new job at Stellar Science in in March Eschew raw pointersOutline • Parallelism makes error handling harder… • …C++ parallel algorithms and tasks specifically • Message Passing Interface (MPI): 3 decades of distributed-memory parallel

Stephen Brawner, Robottimo Robotics at Compile Time Optimizing Robotics Algorithms with c++’s Compile-Time FeaturesAbout me • Robotics Software Consultant based in Portland, OR • Chief Roboticist