“…Lessons Covered Include: 1.0 52 Weeks of Live Coding NET Episode 1 codespaces.mp4 2.0 52 Weeks of Live Coding NET Episode 2 Xunit.mp4 3.0 52 Weeks of Live Coding NET Episode 3 Blazor.mp4 4.0 52 Weeks of Live Coding NET Episode 4 failing to get cdk1 working.mp4 5.0 52 Weeks of Live Coding NET Episode 5 success cdk2.mp4 Learning Objectives Learn .NET and C# and F# by Live Coding Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! …”

Tabla de Contenidos: “…5.6.1 Step-efficient parallel scan operation -- 5.6.2 Work-efficient parallel scan operation -- 5.6.3 Parallel scan operations for large arrays -- 5.7 Parallel global sum: Addressing the problem of associativity -- 5.8 Future of parallel algorithm research -- 5.9 Further explorations -- 5.9.1 Additional reading -- 5.9.2 Exercises -- Summary -- Part 2 CPU: The parallel workhorse -- 6 Vectorization: FLOPs for free -- 6.1 Vectorization and single instruction, multiple data (SIMD) overview -- 6.2 Hardware trends for vectorization -- 6.3 Vectorization methods -- 6.3.1 Optimized libraries provide performance for little effort -- 6.3.2 Auto-vectorization: The easy way to vectorization speedup (most of the time1) -- 6.3.3 Teaching the compiler through hints: Pragmas and directives -- 6.3.4 Crappy loops, we got them: Use vector intrinsics -- 6.3.5 Not for the faint of heart: Using assembler code for vectorization -- 6.4 Programming style for better vectorization -- 6.5 Compiler flags relevant for vectorization for various compilers -- 6.6 OpenMP SIMD directives for better portability -- 6.7 Further explorations -- 6.7.1 Additional reading -- 6.7.2 Exercises -- Summary -- 7 OpenMP that performs -- 7.1 OpenMP introduction -- 7.1.1 OpenMP concepts -- 7.1.2 A simple OpenMP program -- 7.2 Typical OpenMP use cases: Loop-level, high-level, and MPI plus OpenMP -- 7.2.1 Loop-level OpenMP for quick parallelization -- 7.2.2 High-level OpenMP for better parallel performance -- 7.2.3 MPI plus OpenMP for extreme scalability -- 7.3 Examples of standard loop-level OpenMP -- 7.3.1 Loop level OpenMP: Vector addition example -- 7.3.2 Stream triad example -- 7.3.3 Loop level OpenMP: Stencil example -- 7.3.4 Performance of loop-level examples -- 7.3.5 Reduction example of a global sum using OpenMP threading -- 7.3.6 Potential loop-level OpenMP issues…”

Tabla de Contenidos:

Tabla de Contenidos: “…Intro to Sharing Photos -- Installing Lesson Files -- Philosophy (Sharing Safely) -- Email -- Mobile Me -- Mobile Me: Part 2 -- Facebook -- Facebook: Part 2 -- Flickr -- iweb mp -- Twitter -- Animated slide shows -- Slideshows -- Removing files -- Conclusion…”

Tabla de Contenidos: “…Hardware, processes, and threads -- Coding for performance -- Identifying opportunities for parallelism -- Synchronization and data sharing -- Using POSIX threads -- Windows threading -- Using automatic parallelization and OpenMP -- Handcoded synchronization and sharing -- Scaling with multicore processors -- Other parallelization technologies -- Concluding remarks…”