Software Performance Engineering and Multicore Programming

Software Performance Engineering and Multicore Programming, available at $19.99, has an average rating of 1, with 26 lectures, 1 quizzes, based on 1 reviews, and has 31 subscribers.

You will learn about Define Software Performance Engineering Learn Multicore Computing & Multicore Programming Understand Parallelization and Cache Complexity Take a deep-dive into Memory Hierarchy Optimization Understand Virtual Machines and how they work Learn Hypervisor Architecture Define Montgomery's Trick and its application This course is ideal for individuals who are System Performance Engineers or Software Engineers or Newbies & Beginners in the field of Performance Engineering or Anyone aspiring for a career in Software and Performance Engineering or System Engineers & Analysts or System Administrators or Cloud Architects & Engineers or Senior Software Performance Analysis Engineers or Performance Engineers or Software Testers or Embedded Engineers or Safety Performance Engineers or Quality Assurance Leads or Operational Performance Engineers or Electronics & Communication Engineers or Software Developers & Programmers It is particularly useful for System Performance Engineers or Software Engineers or Newbies & Beginners in the field of Performance Engineering or Anyone aspiring for a career in Software and Performance Engineering or System Engineers & Analysts or System Administrators or Cloud Architects & Engineers or Senior Software Performance Analysis Engineers or Performance Engineers or Software Testers or Embedded Engineers or Safety Performance Engineers or Quality Assurance Leads or Operational Performance Engineers or Electronics & Communication Engineers or Software Developers & Programmers.

Enroll now: Software Performance Engineering and Multicore Programming

Summary

Title: Software Performance Engineering and Multicore Programming

Price: $19.99

Average Rating: 1

Number of Lectures: 26

Number of Quizzes: 1

Number of Published Lectures: 26

Number of Published Quizzes: 1

Number of Curriculum Items: 27

Number of Published Curriculum Objects: 27

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Define Software Performance Engineering
Learn Multicore Computing & Multicore Programming
Understand Parallelization and Cache Complexity
Take a deep-dive into Memory Hierarchy Optimization
Understand Virtual Machines and how they work
Learn Hypervisor Architecture
Define Montgomery's Trick and its application

Who Should Attend

System Performance Engineers
Software Engineers
Newbies & Beginners in the field of Performance Engineering
Anyone aspiring for a career in Software and Performance Engineering
System Engineers & Analysts
System Administrators
Cloud Architects & Engineers
Senior Software Performance Analysis Engineers
Performance Engineers
Software Testers
Embedded Engineers
Safety Performance Engineers
Quality Assurance Leads
Operational Performance Engineers
Electronics & Communication Engineers
Software Developers & Programmers

Target Audiences

System Performance Engineers
Software Engineers
Newbies & Beginners in the field of Performance Engineering
Anyone aspiring for a career in Software and Performance Engineering
System Engineers & Analysts
System Administrators
Cloud Architects & Engineers
Senior Software Performance Analysis Engineers
Performance Engineers
Software Testers
Embedded Engineers
Safety Performance Engineers
Quality Assurance Leads
Operational Performance Engineers
Electronics & Communication Engineers
Software Developers & Programmers

A warm welcome to the Software Performance Engineering and Multicore Programmingcourse by Uplatz.

Software Performance Engineering (SPE)is a systematic method for constructing software systems to meet performance objectives. It is a systematic, quantitative approach to the cost-effective development of software systems to meet performance requirements. SPE is a software-oriented approach that focuses on architecture, design, and implementation choices. SPE gives you the information you need to build software that meets performance requirements on time and within budget.

SPE uses quantitative analysis techniques to predict and evaluate performance implications of design and implementation decisions. The process begins early in the software lifecycle and uses quantitative methods to identify satisfactory combinations of requirements and designs, and to eliminate those that are likely to have unacceptable performance, before developers begin implementation. SPE continues through the detailed design, coding, and testing stages to predict and manage the performance of the evolving software, and to monitor and report actual performance against specifications and predictions. SPE methods cover performance data collection, quantitative analysis techniques, prediction strategies, management of uncertainties, data presentation and tracking, model verification and validation, critical success factors, and performance design principles.

SPE provides an engineering approach to performance, eliminating the issues of performance-driven development and fix-it-later. SPE uses model predictions to evaluate trade-offs in software functions versus hardware costs. The models assist developers in controlling resource requirements by selecting architecture and design alternatives with acceptable performance characteristics. They aid in tracking performance throughout the development process and prevent problems from surfacing late in the life cycle (typically during performance and stress testing).

Multicore Programming refers to the approach of creating concurrent systems for deployment on multicore processor and multiprocessor systems. A multicore processor system is a single processor with multiple execution cores in one chip. By contrast, a multiprocessor system has multiple processors on the motherboard or chip. Multicore programming focuses on the following key elements:

Task Parallelism
Data parallelism
Pipelining
Structured grid

Software Performance Engineering and Multicore Programming – Course Curriculum

Software Performance Engineering
Introduction to Multicore Programming
Multithreaded parallelism and Performance Measures
Analysis of Multithreaded Algorithms
Issues in Parallelization
Synchronizing without locks and concurrent data structures
Cache Complexity
Montgomery Trick
Space Vs Time Cache Vs Memory
Experience in coding high performance numeric libraries
FFT Based Polynomial Arithmetic on Multicore
Parallel Programming for Many high-performance Architectures
Memory Hierarchy Optimization-I
Memory Hierarchy Optimization-II
Writing Correct Programs
Floating Point
Applications
Dynamic Scheduling Sorting
Virtual Machines
Hypervisor
Multicore Computing
Multicore Programming-I
Multicore Programming-II
Multicore Programming-III
Multicore Programming-IV
Multicore Programming-V

Course Curriculum

Chapter 1: Software Performance Engineering

Lecture 1: Software Performance Engineering

Chapter 2: Introduction to Multicore Programming

Lecture 1: Introduction to Multicore Programming

Chapter 3: Multithreaded Parallelism and Performance Measures

Lecture 1: Multithreaded Parallelism and Performance Measures

Chapter 4: Analysis of Multithreaded Algorithms

Lecture 1: Analysis of Multithreaded Algorithms

Chapter 5: Issues in Parallelization

Lecture 1: Issues in Parallelization

Chapter 6: Synchronizing without Locks and Concurrent Data Structures

Lecture 1: Synchronizing without Locks and Concurrent Data Structures

Chapter 7: Cache Complexity

Lecture 1: Cache Complexity

Chapter 8: Around Montgomery's Trick

Lecture 1: Around Montgomery's Trick

Chapter 9: Space vs Time and Cache vs Memory

Lecture 1: Space vs Time and Cache vs Memory

Chapter 10: Experience in Coding High Performance Numerical Libraries

Lecture 1: Experience in Coding High Performance Numerical Libraries

Chapter 11: FFT based Polynomial Arithmetic on Multicore

Lecture 1: FFT based Polynomial Arithmetic on Multicore

Chapter 12: Parallel Programming for Many Core Architectures

Lecture 1: Parallel Programming for Many Core Architectures

Chapter 13: Memory Hierarchy Optimization

Lecture 1: Memory Hierarchy Optimization – part 1

Lecture 2: Memory Hierarchy Optimization – part 2

Chapter 14: Writing Correct Programs

Lecture 1: Writing Correct Programs

Chapter 15: Floating Point and Linear Algebra

Lecture 1: Floating Point and Linear Algebra

Chapter 16: Applications

Lecture 1: Applications

Chapter 17: Dynamic Scheduling and Sorting

Lecture 1: Dynamic Scheduling and Sorting

Chapter 18: Virtual Machines

Lecture 1: Virtual Machines

Chapter 19: Hypervisor Architecture

Lecture 1: Hypervisor Architecture

Chapter 20: Multicore Computing

Lecture 1: Multicore Computing

Chapter 21: Multicore Programming

Lecture 1: Multicore Programming – part 1

Lecture 2: Multicore Programming – part 2

Lecture 3: Multicore Programming – part 3

Lecture 4: Multicore Programming – part 4

Lecture 5: Multicore Programming – part 5

Chapter 22: End of Course Quiz

Instructors

Uplatz Training
Fastest growing global Technology & Cloud Training Provider

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