[Pre – Learning] MCS 706 – High-Performance Computing and Parallel Processing
About Course
This core course examines the architecture, algorithms, and programming models for high-performance computing.
Topics include parallel algorithms, distributed memory systems, and applications in scientific simulations and data-intensive computing.
Students will gain hands-on experience with parallel programming techniques and explore the challenges of developing scalable and efficient solutions for high-performance computing environments.
Course Content
Topic 1: Introduction to High-Performance Computing
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LO1: Define high-performance computing and explain its significance in modern computational science
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LO2: Describe key concepts such as parallelism, scalability, and performance metrics in HPC systems
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LO3: Analyze the role of HPC in solving complex scientific and data-intensive problems
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Knowledge Check
