High Performance Computing and Cloud Computing
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Follow on Instagram for UpdatesHigh Performance Computing and Cloud Computing Syllabus — Unit-wise Content
The official GTU curriculum for High Performance Computing and Cloud Computing (subject code ME01000741) as prescribed for ITAC · Semester 1 divides the course into 8 units, covering 44 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (ME01000741)Unit 1 Introduction to High Performance Computing
- Definition of High Performance Computing
- History and latest developments in HPC, Moore’s law, Introduction to scientific computing
- Challenges with setting up HPC Data centres including storage
- power supply and thermal management
- topology of processors
Unit 2 Cluster Computing
- Clustering Models
- Cluster Computing Architectures and key factors
- types of clusters
- Mission critical Vs Business Critical Applications
- Cluster Middleware and SSI, Need of Resource Management and Scheduling.Fault Detection and Masking Algorithms
- Check pointing
- Watchdog Timers
- Fault recovery through Failover and Failback Concepts
Unit 3 Introduction to Hadoop Hadoop Distributed File System
- Hadoop Architecture
- MapReduce and HDFS Introduction to Pig, Hive
Unit 4 Understanding the MapReduce Internal Components
- Hbase MapReduce and Hive Overview
- Pig Overview
- Sqoop Overview Flume Overview Real Time Example in Hadoop Apache Log viewer Analysis Market Basket Algorithms Installing Hadoop Eco System and Integrate With Hadoop Overview of Mahaut
- Horton Hadoop Commands usage Monitoring Hadoop Cluster with Ganglia
- JMX Hadoop Configuration management Tool Hadoop Benchmarking
Unit 5 Introduction to Cloud Computing
- Defining Clouds Cloud Providers Consuming Cloud Services Cloud Models – Infrastructure as a service
- Platform as a service
- Software as a service Hypervisor Program Name: Master of Engineering Level: PG Branch: Information Technology Course / Subject Code : ME01000741 Course / Subject Name : High Performance Computing and Cloud Computing CPU Virtualization and advantage of Virtual Machine Containerization
Unit 6 Nature of Cloud
- Tradition Data Center Cost of Cloud Data Center Scaling computer systems Cloud work load Managing data on clouds Public
- private and hybrid clouds
Unit 7 Administering cloud services
- Identity and Access Management Trust Boundaries and IAM, IAM Challenges
- Relevant IAM Standards and Protocols for Cloud Services
- IAM Practices in the Cloud
- Cloud Authorization Management
Unit 8 Parallel computing using OpenMP
- fork and join
- race conditions
- compiler directives
- heap and stack memory
- data dependencies
- thread- safe functions
- pseudo-random number generators in parallel
- example codes, and demonstrations
- Parallel computing using MPI Introduction
- message passing
- domain decomposition
- MPI communicators
- MPI modules and functions (broadcast
- MPI send and receive)
- master– worker paradigm
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