Modern C++ for Parallelism in High Performance Computing
in High Performance Computing Victor Eijkhout CppCon 2024 Introduction This poster reports on ‘D2D’, a benchmark that explores elegance of expression and perfor- mance in the context of a High Performance profiling and discussion of performance. By presentation time: So far, exclusively top-of-the-line high core count processors were used. I will compare to a more ordinary desktop, where bandwidth limitations0 码力 | 3 页 | 91.16 KB | 5 月前3High-Performance Numerical Integration in the Age of C++26
Introduction Firsts steps Context Theoretical foundations Outline of an implementation Conclusion High-Performance Numerical Integration in the Age of C++26 Vincent Reverdy Laboratoire d’Annecy de Physique Verner’s methods Explicit adaptive Runge-Kutta schemes Slightly enhanced methods with interpolants High-accurary interpolation inside integration steps Interpolation with extra coefficients βi yn+u = talk of last year for the implementation of this kind of expression templates: Symbolic Calculus for High-Performance Computing from Scratch using C++23, V. Reverdy, CppCon2023 CppCon - Vincent Reverdy -0 码力 | 57 页 | 4.14 MB | 5 月前3Nim - the first high performance language with full support for hot codereloading at runtime
Nim - the first high performance Nim - the first high performance language with full support for hot code- language with full support for hot code- reloading at runtime reloading at runtime by Viktor Iterators type CustomRange = object low: int high: int iterator items(range: CustomRange): int = var i = range.low while i <= range.high: yield i inc i iterator pairs(range: CustomRange): range: # uses CustomRange.items yield (i, char(i + ord('a'))) for i, c in CustomRange(low: 1, high: 3): echo c # prints: b, c, d 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 7 Variants Variants0 码力 | 63 页 | 2.91 MB | 1 年前3High-Performance Cross-Platform Architecture: C++20 Innovations
0 码力 | 75 页 | 581.83 KB | 5 月前3Symbolic Calculus for High-Performance Computing: From Scratch Using C++23
Comparison Binding Constraints Architecture Substitution Construction Conclusion Symbolic Calculus for High-Performance Computing from Scratch using C++23 Vincent Reverdy Laboratoire d’Annecy de Physique . What this talk is not about Complicated maths (you are smart people, you can do it yourself) High-performance computing (you all know about it + see the 2019 talk for that) Benchmarks, assembly, mathematical concepts Symbolic calculus (derivatives, integrals) Full blown custom rule-based rewriting High-performance Since formulas have the entire information on the mathematical AST, it’s possible to0 码力 | 70 页 | 1.80 MB | 5 月前3High-availability, recovery semantics, and guarantees - CS 591 K1: Data Stream Processing and Analytics
Kalavri vkalavri@bu.edu Spring 2020 3/17: High availability, recovery semantics, and guarantees Vasiliki Kalavri | Boston University 2020 Today’s topics • High-availability and fault-tolerance in distributed state consists of • input queues • operator state • output queues • Short recovery time • High runtime overhead • The checkpoint interval determines the trade-off 14 Ni primary secondary state consists of • input queues • operator state • output queues • Short recovery time • High runtime overhead • The checkpoint interval determines the trade-off 14 Ni primary secondary0 码力 | 49 页 | 2.08 MB | 1 年前3Game Development for Human Beings
Zenva Academy – Online courses on Phaser and game programming Zenva for Schools – Coding courses for high schools ©2016 Zenva Pty Ltd all rights reserved Page 1 Game Development for Zenva Academy – Online courses on Phaser and game programming Zenva for Schools – Coding courses for high schools ©2016 Zenva Pty Ltd all rights reserved Page 2 Table of Contents HTML5 Phaser Zenva Academy – Online courses on Phaser and game programming Zenva for Schools – Coding courses for high schools ©2016 Zenva Pty Ltd all rights reserved Page 3 Introduction by Pablo Farias Navarro0 码力 | 472 页 | 8.46 MB | 10 月前3Apache Kyuubi 1.6.1 Documentation
ADMIN GUIDE 1 Multi-tenancy 3 2 Ease of Use 5 3 Run Anywhere 7 4 High Performance 9 5 Authentication & Authorization 11 6 High Availability 13 6.1 Quick Start . . . . . . . . . . . . . . . . . . cluster managers. 7 Kyuubi, Release 1.6.1-incubating 8 Chapter 3. Run Anywhere CHAPTER FOUR HIGH PERFORMANCE Kyuubi is built on the Apache Spark, a lightning-fast unified analytics engine. • Concurrent plan: fully supports Spark SQL Catalyst Optimizer, 9 Kyuubi, Release 1.6.1-incubating 10 Chapter 4. High Performance CHAPTER FIVE AUTHENTICATION & AUTHORIZATION With strong authentication and fine-grained0 码力 | 199 页 | 3.89 MB | 1 年前3Apache Kyuubi 1.6.0 Documentation
ADMIN GUIDE 1 Multi-tenancy 3 2 Ease of Use 5 3 Run Anywhere 7 4 High Performance 9 5 Authentication & Authorization 11 6 High Availability 13 6.1 Quick Start . . . . . . . . . . . . . . . . . . cluster managers. 7 Kyuubi, Release 1.6.0-incubating 8 Chapter 3. Run Anywhere CHAPTER FOUR HIGH PERFORMANCE Kyuubi is built on the Apache Spark, a lightning-fast unified analytics engine. • Concurrent plan: fully supports Spark SQL Catalyst Optimizer, 9 Kyuubi, Release 1.6.0-incubating 10 Chapter 4. High Performance CHAPTER FIVE AUTHENTICATION & AUTHORIZATION With strong authentication and fine-grained0 码力 | 195 页 | 3.88 MB | 1 年前3Apache Kyuubi 1.3.0 Documentation
USAGE GUIDE 1 Multi-tenancy 3 2 Ease of Use 5 3 Run Anywhere 7 4 High Performance 9 5 Authentication & Authorization 11 6 High Availability 13 6.1 Quick Start . . . . . . . . . . . . . . . . . . against different cluster managers. 7 Kyuubi, Release 1.3.0 8 Chapter 3. Run Anywhere CHAPTER FOUR HIGH PERFORMANCE Kyuubi is built on the Apache Spark, a lightning-fast unified analytics engine. • Concurrent execution plan: fully supports Spark SQL Catalyst Optimizer, 9 Kyuubi, Release 1.3.0 10 Chapter 4. High Performance CHAPTER FIVE AUTHENTICATION & AUTHORIZATION With strong authentication and fine-grained0 码力 | 129 页 | 6.15 MB | 1 年前3
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