HPC Lecture Notes PDF
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These lecture notes provide an overview of High Performance Computing (HPC). They discuss the concepts of serial and parallel computing, and explore various application areas such as science, engineering, and multimedia. The notes emphasize the growing need for HPC in handling complex datasets and tasks.
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What is HPC? High Performance Computing most generally refers to the practice of aggregating computing power in a way that delivers much higher performance than one could get out of a typical desktop computer or workstation in order to solve large problems in science, engineering, or business.” Ke...
What is HPC? High Performance Computing most generally refers to the practice of aggregating computing power in a way that delivers much higher performance than one could get out of a typical desktop computer or workstation in order to solve large problems in science, engineering, or business.” Key Drivers of HPC Growth in data generation Key Drivers of HPC (Contd.) Growth in data generation Need for complex simulations and modeling in fields like climate science, physics, and bioinformatics drive the need for greater computing power. Single-core processors can not be made that have enough resource for the simulations needed. Making processors with faster clock speeds is difficult due to cost and power/heat limitations Expensive to put huge memory on a single processor Serial computing Only one instruction may execute at any moment in time Parallel Computing Solution: parallel computing –a form of computation in which many calculations are carried out simultaneously, operating on the principle that large problems can often be divided into smaller ones, which are then solved concurrently ("in parallel”).“ http://en.wikipedia.org/wiki/Parallel_computing Application Areas of HPC in Science & Engineering HPC in Science Space Science Applications in Astrophysics and Astronomy Earth Science Applications in understanding Physical Properties of Geological Structures, Water Resource Modelling, Seismic Exploration Atmospheric Science Applications in Climate and Weather Forecasting, Air Quality HPC in Science (Contd.) Life Science Applications in Drug Designing, Genome Sequencing, Protein Folding Nuclear Science Applications in Nuclear Power, Nuclear Medicine (cancer etc.), Defence Nano Science Applications in Semiconductor Physics, Microfabrication, Molecular Biology, Exploration of New Materials HPC in Engineering Crash Simulation Applications in Automobile and Mechanical Engineering Aerodynamics Simulation & Aircraft Designing Applications in Aeronautics and Mechanical Engineering Structural Analysis Applications in Civil Engineering and Architecture HPC in Multimedia and Animation Increased Complexity of Content High Resolution: Demand for 4K, 8K, and beyond requires significant processing power. Complex Effects: Advanced visual effects (VFX) and rendering techniques necessitate heavy computations. Real-Time Rendering Interactive Experiences: HPC enables real-time rendering for gaming and virtual reality (VR) applications. Simulation: Realistic physics simulations for animations and gaming environments. Large Data Processing Managing and processing massive datasets (e.g., video files, 3D models).