OpenACC

Code examples for CUDA and OpenACC

Case studies constitute a modern interdisciplinary and valuable teaching practice which plays a critical and fundamental role in the development of new skills and the formation of new knowledge. This research studies the behavior and performance of two interdisciplinary and widely adopted scientific kernels, a Fast Fourier Transform and Matrix M…

gpumm - matrix-matrix multiplication by using CUDA, cublas, cublasxt and OpenACC.

Six implementations of the same FFT — hand-written CUDA, OpenACC and cuFFT — benchmarked on P100 and V100 to measure what a directive-based GPU port actually costs

The MNIST classification problem is a fundamental machine learning task that involves recognizing handwritten digits (0- 9) from a dataset of 70,000 grayscale images (28x28 pixels each). It serves as a benchmark for evaluating machine learning models, particularly neural networks.

Parallel Heterogeneous CPU/GPU computing

CG and Jacobi Poisson solvers on the GPU: serial C++, OpenMP, 8 CUDA kernels, cuSPARSE reference, Fortran OpenACC, Nsight Compute profiles (measured on NVIDIA L4)

GPU programming coursework from the MHPC programme — covering CUDA kernels, OpenACC offloading, MPI+GPU hybrid computing, and a full 2D Lattice Boltzmann fluid solver with CPU/CUDA/OpenACC backends. Includes performance benchmarks, physics validation, and scaling analysis across K80/P100/V100 GPUs.