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High Performance Scientific Computing with C

The Course Overview
Introduction – Why Use Computers for Math?
Interpolation and Extrapolation
Numerical Integration
Linear Equations and Matrix Methods
Monte Carlo Methods
Floating-Point Numbers and IEEE-754
Algorithm Complexity and Performance
Discrete versus Fast Fourier Transform
Compiler Optimizations
How the CPU Works
Pipelining and Hardware-Oriented Design
Vectorizing with AVX
Parallel Architectures, Amdahl’s Law, and Gustafson’s Law
Shared Memory Parallelism with OpenMP
Distributed Memory Parallelism with MPI
GPGPU with CUDA