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You will be able to find information about High performance compunting along with its Course Objectives and Course outcomes and also a list of textbook and reference books in this blog.You will get to learn a lot of new stuff and resolve a lot of questions you may have regarding High performance compunting after reading this blog. High performance compunting has 5 units altogether and you will be able to find notes for every unit on the CynoHub app. High performance compunting can be learnt easily as long as you have a well planned study schedule and practice all the previous question papers, which are also available on the CynoHub app.

All of the Topic and subtopics related to High performance compunting are mentioned below in detail. If you are having a hard time understanding High performance compunting or any other Engineering Subject of any semester or year then please watch the video lectures on the official CynoHub app as it has detailed explanations of each and every topic making your engineering experience easy and fun.

High performance compunting Unit One

Computational Science and Engineering Introduction

Computational Science and Engineering Applications; characteristics and requirements, Review of Computational Complexity, Performance: metrics and measurements, Granularity and Partitioning, Locality: temporal/spatial/stream/kernel, Basic methods for parallel programming, Real-world case studies (drawn from multi-scale, multi-discipline applications)

High performance compunting Unit Two

igh-End Computer Systems: Memory Hierarchies, Multi-core Processors

Homogeneous and Heterogeneous, Shared-memory Symmetric Multiprocessors, Vector Computers, Distributed Memory Computers, Supercomputers and Petascale Systems, Application Accelerators / Reconfigurable Computing, Novel computers: Stream, multithreaded, and purpose-built.

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High performance compunting Unit Three

Parallel Algorithms

Parallel models: ideal and real frameworks, Basic Techniques: Balanced Trees, Pointer Jumping, Divide and Conquer, Partitioning, Regular Algorithms: Matrix operations and Linear Algebra, Irregular Algorithms: Lists, Trees, Graphs, Randomization: Parallel Pseudo-Random Number Generators, Sorting, Monte Carlo techniques.

High performance compunting Unit Four

Parallel Programming

Revealing concurrency in applications, Task and Functional Parallelism, Task Scheduling, Synchronization Methods, Parallel Primitives (collective operations), SPMD Programming (threads, Open MP, MPI), I/O and File Systems, Parallel Matlabs (Parallel Matlab, Star-P, Matlab MPI),Partitioning Global Address Space (PGAS) languages (UPC, Titanium, Global Arrays).

High performance compunting Unit Five

Achieving Performance

Measuring performance, identifying performance bottlenecks, Restructuring applications for deep memory hierarchies, Partitioning applications for heterogeneous resources, Using existing libraries, tools, and frameworks.

High performance compunting Course Objectives

Understand the concepts of high performance computing •Acquire the knowledge of various algorithms required for parallel computing. •Understand the concepts of architecture.

High performance compunting Course Outcomes

At the end of the course the student will be able to:1.CO1: Apply the concepts of high performance computing 2.CO2: Develop various algorithms required for parallel computing. 3.CO3: Compare architectures for high performance computing.

High performance compunting Text Books

An Introduction to Parallel Computing, Design and Analysis of Algorithms-Grama, A. Gupta, G. Karypis, V. Kumar
Parallel Scientific Computing in C++ and MPI: A Seamless Approach to Parallel Algorithms and their Implementation-G.E. Karniadakis, R.M. Kirby II

High performance compunting Reference Books

Parallel Programming: Techniques and Applications Using Networked Workstations and Parallel Computers-Wilkinson and M. Allen
Parallel Programming in C with MPI and Open MP-M.J. Quinn
ighly Parallel Computing-G.S. Almasi and A. Gottlieb
The Sourcebook of Parallel Computing-J. Dongarra, I. Foster, G. Fox, W. Gropp, K. Kennedy, L. Torczon

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Information about VTU B.Tech High performance compunting was provided in detail in this article. To know more about the syllabus of other Engineering Subjects of JNTUH check out the official CynoHub application. Click below to download the CynoHub application.

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