In this paper, we tackle important topics related to deep learning neural networks and their
undisputed usefulness in solving a great variety of applications ranging from image and …

In this paper, we have researched economic considerations regarding the opportunity of
optimizing data processing using graphics processing units (GPU) that implement the …

In this paper, we research, analyze and develop optimization solutions for the parallel
reduction function using graphics processing units (GPUs) that implement the Compute …

In this paper, I have researched and developed solutions for optimizing the stream
compaction algorithmic function using the Compute Unified Device Architecture (CUDA) …

One of the most important aspects when developing applications that leverage the powerful
parallel processing power of graphics processing units (GPUs) that offer support for the …

In this paper, we have researched and developed solutions for optimizing the radix sort
algorithmic function using the Compute Unified Device Architecture (CUDA). The radix sort …