What you would learn in Software Performance Engineering and Multicore Programming course?
Software Performance Engineering (SPE) is a systematic method for building software systems to achieve performance goals. It is a systematic, quantitative approach to the efficient development of software systems that satisfy performance specifications. SPE is a software-oriented method focused on architecture, design, and the choices for implementation. SPE provides the data that you require to design software that can meet the performance demands in time and on budget.
SPE employs quantitative analysis techniques to determine and assess the effects on the performance of implementation and design decisions. The process starts early in the lifecycle of software. It employs quantitative techniques to find an acceptable combination of designs and requirements and remove those likely to result in unacceptable performance before the developers start implementation. SPE continues through the intricate designing, coding, and testing phases to forecast and control the performance of evolving software, as well as to track and analyze the performance of the software against the specifications and forecasts. The SPE methodology covers the collection of performance data and analysis techniques that are quantitative methods, strategies for prediction, management of uncertainty, presentation and monitoring, verification of models and validation, critical factors for success, and performance design fundamentals.
SPE offers an engineering-based approach to performance that eliminates the concerns of development driven by performance and fixing-it-later. SPE utilizes models to predict tradeoffs between hardware and software costs. These models assist developers in limiting the requirements for resources by choosing design and architecture options with acceptable performance characteristics. They help track the performance of the entire development process and stop problems from coming up at the end of the lifecycle (typically when stress or performance testing).
Multicore programming refers to the process of creating concurrent systems that are suitable to be used on multicore processors as well as multiprocessor platforms. Multicore processor systems are individual processors with multiple execution cores within one chip. In contrast, a multiprocessor system includes multiple processors that are on chips or motherboards. Multicore programming concentrates on the following essential aspects:
Task Parallelism
Parallelism of data
Pipelining
Grid structure
Course Content:
- Define Software Performance Engineering
- Learn Multicore Computing & Multicore Programming
- Know the difference between Cache and Parallelization
- Deep dive into Memory Hierarchy Optimization
- Know about Virtual Machines and how they function
- Learn Hypervisor Architecture
- The definition of Montgomery's Trick and its use
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