High Performance Scientific Computing with C 3.3: Vectorizing with AVX

The video tutorial explores how to optimize code using the AVX instruction set on modern CPUs. It explains the difference between single instruction single data (SISD) and single instruction multiple data (SIMD) operations, highlighting the evolution from MMX to AVX-512. The tutorial demonstrates how to use compiler optimizations to significantly speed up code execution without rewriting it. It also discusses the importance of enabling specific compiler flags to fully utilize CPU capabilities, emphasizing the potential performance gains. The video concludes with a preview of parallel and distributed computing.

What impact do compiler optimizations have on the performance of code?

How can one enable AVX instructions in their code compilation?

What are the potential performance gains from using vectorization instructions?