PAC | Java High Performance (2019 EN)

Discussion in 'Programming' started by Kanka, Jul 26, 2019.

  1. Kanka

    Kanka Well-Known Member Loyal User

    Messages:
    16,047
    Likes Received:
    449
    Trophy Points:
    83
    [​IMG]

    Company: Packt Publishing
    Author: Tomasz Lelek
    Full Title: Java High Performance
    Year: 2019
    Language: English
    Genre: Educational: Application Development
    Skill Level: -
    Price: €124.99
    -
    Files: MP4 (+ Code Files)
    Time: 02:07:57
    Video: AVC, 1920 x 1080 (1.778) at 30.000 fps, 350 kbps
    Audio: AAC at 159 Kbps, 2 channels, 48.0 KHz



    Measure and Improve performance of your Java codebase using most efficient API constructs.

    Java 12 comes with a host of new features and APIs with lots of ready-to-use components to help you build efficient and scalable applications. You will leverage JFR (Java Flight Recorder) to test the performance of your applications and learn about general Java performance practices and improvements introduced in Java 12.

    In this hands-on course, you will build a data-processing application and improve its performance in every section as you progress through the course. You will use the AOT compiler and JShell to prototype your Java code. Moving on, you will be introduced to multithreading and will learn about concurrent programming to build highly concurrent and efficient applications. By the end of the course, you will be able to build high-performance and efficient applications optimized in various aspects of Java.

    Style and Approach
    A guide to improving the performance of Java applications. You will build a Java application and improve its performance in every section of the course. Every section focuses on a different high-performance aspect.


    Learn:
    ✓ Validate the high performance of your algorithms using the JMH tool
    ✓ Use java.util.concurrent primitives effectively in a multi-threaded environment
    ✓ Optimize your day-to-day programs by applying performant computations
    ✓ Use the AOT Compiler to improve performance
    ✓ Use JShell to reduce feedback loops and prototype code more rapidly
    ✓ Use the Java Flight Recorder to validate the performance of your applications
    ✓ Write non-blocking algorithms using the CompareAndSet pattern
    ✓ Perform I/O operations in a memory- and CPU-efficient way

    Features:
    ✓ A practical guide to learning the most important aspects of developing high-performance applications in Java
    ✓ Leverage the most powerful java.util.concurrent construct to create concurrent multi-threaded programs.
    ✓ Measure and improve the performance of your existing Java codebase.


    Lessons:
    1. Benchmarking Performance with JMH Tool
    01. The Course Overview
    02. Setup JMH Tool
    03. Using @BenchmarkModes to Test Latency and Throughput
    04. Adding Main Function JMH Runner
    05. Using JMH to Compare the Performance of Two Algorithms
    06. Improving Performance with AOT Compiler
    2. Optimizing CPU-Intensive Computations with Java
    07. Forward Iteration Versus Backward Iteration
    08. Comparing Performance of Arithmetic Operations in Java
    09. Speeding Up Processing with Vector Operations
    10. Using JShell to Test and Prototype Java Code
    11. Float Versus Double Performance
    3. Using High-Performance Collections to Optimize Memory and CPU
    12. Measuring Performance of Primitive Arrays
    13. Using LinkedInList and ArrayList
    14. Validating Iteration and Write Performance of Collections
    15. Using ImmutableMaps for Better Performance
    16. Performance of Filtering Stream API Versus Standard Collections
    4. Tweaking Garbage Collection Process and Using JFR
    17. Explanation of Regions in CMS Garbage Collector
    18. Leveraging Improvements in G1
    19. Examining Memory Leak Problems
    20. Find Out Memory Problems Using Java Flight Recorder
    21. Fixing Memory Leak Problem and Reducing Memory Pressure
    5. Concurrency and Multithreading with Java
    22. Parallelizing Computations with Streams.parallel
    23. Choosing Parameters for ExecutorService
    24. Using CompletableFuture for Async Purposes
    25. Leveraging CompareAndSet for Non-Blocking Operations
    26. Stack Walking API for Fast Access of Thread Stack Trace
    6. Tweaking File System Access from Java API
    27. Using FileCopy Operations with IO
    28. Improving Performance with Direct Copy – transferTo()
    29. Leveraging DirectBuffer to Avoid Unnecessary Allocations
    30. Using HeapBuffer to Lower Memory Pressure
    31. Measuring Performance of All Approaches and Pick the Best One


    -------------