In recent years, GPUs have become the preferred accelerators for HPC and ML applications
due to their parallelism and fast memory bandwidth. While GPUs boost computation, inter …

Dynamic parallelism on GPUs allows GPU threads to dynamically launch other GPU
threads. It is useful in applications with nested parallelism, particularly where the amount of …

Dynamic parallelism is a feature of general purpose graphics processing units (GPUs)
whereby threads running on a GPU can spawn other threads without CPU intervention. This …

We leverage CUDA dynamic parallelism to reduce execution time while significantly
reducing energy consumption of the Conjugate Gradient (CG) method for the iterative …

In recent years, GPUs have become the leading accelerator in modern high-performance
systems such that much of HPC computational capability has concentrated in clusters of …

With the development of hyperspectral remote sensing information processing,
hyperspectral image classification becomes a hot topic. The algorithm of kernel sparse …