Hands-On GPU Programming with Python and CUDA

Questions

1. Suppose you get a job translating some old legacy FORTRAN BLAS code to CUDA. You open a file and see a function called SBLAH, and another called ZBLEH. Can you tell what datatypes these two functions use without looking them up?
2. Can you alter the cuBLAS level-2 GEMV example to work by directly copying the matrix A to the GPU, without taking the transpose on the host to set it column-wise?
3. Use cuBLAS 32-bit real dot-product (cublasSdot) to implement matrix-vector multiplication using one row-wise matrix and one stride-1 vector.
4. Implement matrix-matrix multiplication using cublasSdot.
5. Can you implement a method to precisely measure the GEMM operations in the performance measurement example?
6. In the example of the 1D FFT, try typecasting ...