Persistent Transactional Data Structures CHRISTINA PETERSON, KENNETH LAMAR 20 21 October 24-29 |Introduction|Persistent Hash Map|Persistent Transactional Data Structures|Live Demonstration|References| Transactional Data Structures Design Goals Methodology Performance Results Live Demonstration ## I ntroduction |Introduction|Persistent Hash Map|Persistent Transactional Data Structures|Live Demonstration|References| $ ^{TM} $ DC Persistent Memory |Introduction|Persistent Hash Map|Persistent Transactional Data Structures|Live Demonstration|References| |---|---|---|---|---| |0|00|00|0000|| |0000|00000|0000||| |000|000000|000000|||

## +24 ## Reusable Code, Reusable Data Structures ## SEBASTIAN THEOPHIL  ## WHY THIS TALK? ![Image](/uploads/documents

## +24 ## Data Structures That Make Video Games Go Round AL-AFIQ YEONG 20 24 September 15 - 20 Exposing the Games Industry: Data Structures That Make Video Games Co Round One Data Structure At A Time O(\log N) $ ! Awesome!!! ##### Problems (Not really, more like caveats ...) Like all tree data structures, not really cache friendly. - Can always represent the tree as a heap but you still jump around

## +21 ## PGAS in C++: A Portable Abstraction for Distributed Data Structures ## BENJAMIN BROCK 20 21 October 24-29 ## About Me - PhD candidate at Berkeley - Advised by Kathy Yelick and Aydın Buluç supercomputer? Introduce PGAS Model, RDMA Building Remote Pointer Types Building Distributed Data Structures Extending to GPUs This Talk Background: how do we write a program for a supercomputer? Introduce Introduce PGAS Model, RDMA Building Remote Pointer Types Building Distributed Data Structures Extending to GPUs This Talk Background: how do we write a program for a supercomputer? Introduce PGAS

## Designing Fast and Efficient List-like Data Structures ## YANNIC BONENBERGER ## List-like data structures • std::vector • std::list • std::deque ## std::vector • C++ version of the array-list data

## Design and Implementation of Highly Scalable Quantifiable Data Structures in C++ ## CHRISTINA PETERSON, VICTOR COOK, ZACHARY PAINTER 2021 | October 24-29 ## Overview Motivation Correctness (Safety) function $ P(X) $ . $ P(X) $ varies for each of the abstract data types for concurrent data structures. ## Stacks High Entropy ▶ Concurrent implementations are challenging ▶ EBS attains high throughput Logical Processors: 64 ## Conclusion ## Key Take-Aways Quantifiability enables highly scalable data structures by permitting relaxed semantics The vector space model facilitates an efficient verification technique

## +23 ## Distributed Ranges: A Model for Building Distributed Data Structures, Algorithms, and Views ## BENJAMIN BROCK ## Notices and Disclaimers For notices, disclaimers, and details about performance 1c933cc9ed6c477/p6_1.jpg) ## Project Goals - Offer high-level, standard C++ distributed data structures - Support distributed algorithms Achieve high performance for both multi-GPU, NUMA, and multi-node Background (Ranges, Parallelism, Distributed Data Structures) - Distributed Ranges (Concepts) - Implementation (Algorithms and views) - Complex Data Structures (Dense and sparse matrices) - Lessons learned

List pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. To the getting started guides To the 0 2.2 Package overview pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with “relational” or “labeled” data both easy and intuitive. It aims to actually need not be labeled at all to be placed into a pandas data structure The two primary data structures of pandas, Series (1-dimensional) and DataFrame (2-dimensional), handle the vast majority of typical

Static variables • 14. Global variables • 15. Type definitions • 16. Enumerated Types • 17. Structures • 18. Command line parameters • 19. Header files • 20. The preprocessor ☐ 20.1. Conditionals instead? Well, `typedef` gets really useful when paired with two things: enumerated types and structures. ### 16. Enumerated Types Using the `typedef` and `enum` keywords we can define a type that can rather than numbers, so it's a very convenient syntax. ### 17. Structures Using the struct keyword we can create complex data structures using basic C types. A structure is a collection of values of

name: "optional square") 2 let sideLength = optionalSquare?.sideLength ## Enumerations and Structures Use enum to create an enumeration. Like classes and all other named types, enumerations can have structure. Structures support many of the same behaviors as classes, including methods and initializers. One of the most important differences between structures and classes is that structures are always 4) You can make generic forms of functions and methods, as well as classes, enumerations, and structures. // Reimplement the Swift standard library's optional type enum OptionalValue