GPU Memory
GPU memory is essential for the understanding why Graphics Processing Units (GPUs) are so successful to tackle big data problems. A more general information about the architecture can be obtained from our article on...
Tagged: GPU
GPU Computing
GPU computing is very often used in large computer clusters in order to enable scalable and parallel computing of applications. A basic introduction about GPUs can be found in our article GPU. This article...
CUDA Compute Unified Device Architecture
CUDA stands for Compute Unified Device Architecture and is a massive parallel computing architecture that was invented by NVIDEA. It is used as the computing engine within NVIDEA GPUs and is a unique architecture...
GPU Acceleration
GPU acceleration means that GPUs accelerate computing due to a massive parallelism with thousands of threads compared to only a few threads used by conventional CPUs. A basic introduction about GPUs can be found...
GPU Graphics Processing Unit
GPU stands for graphics processing unit and is a relatively new mechanism used for parallel approaches in order to analyse big data. This is particular the case for data parallelism and task parallelism. In...
