Parallel and Distributed Computing
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Follow on Instagram for UpdatesParallel and Distributed Computing Syllabus — Unit-wise Content
The official GTU curriculum for Parallel and Distributed Computing (subject code 2740303) as prescribed for IACI · Semester 4 divides the course into 6 units, covering 24 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 (2740303)Unit 1 Introduction to High Performance Computing
- Overview of high performance computing and Java Framework
- The benefits of parallel programming
- The benefits of distributed programming
- The basic layers of Concurrent techniques
- Categories of computers
Unit 2 Parallel Computer System Architecture
- Overview of ParallelComputing
- Central processing unit design
- Instruction set architecture and design
- some general parallel terminology
Unit 3 Microprocessor technologies
- Overview of Microprocessors
- Intel multi core technology
Unit 4 Parallel Computer memory architecture
- Parallel Computer memory architectures
- MPPS and parallel processing
Unit 5 Parallel and Distributed Programming Model
- Parallel and Distributed Programming Models
- Shared memory model
- Threads models
- Message passing model
- Data Parallel model
- Hybrid Programming Model
- Flynn’s Programming model
- Embarrassingly parallel computation
- Pipeline computations
Unit 6 Designing Parallel and Distributed Programs
- Automatic vs Manual Parallelization
- Understand the problem and the 5 10 %
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