As a result, the NLM algorithm cannot satisfy the near real-time requirements of some specific applications. To resolve this issue, a parallel NLM algorithm based on Intel Xeon Phi hardware with Intel ...

It has components that support deep learning, linear algebra, signal processing, and parallel algorithms. In general, CUDA libraries support all families of NVIDIA GPUs, but perform best on the ...

However current implementations of AES algorithm suffer from huge CPU resource consumption and low throughput. The authors studied the technologies of GPU (Graphics Processing Unit) parallel ...

SIMPLE is a framework for implementation of parallel algorithms using our methodology for developing high performance programs running on clusters of SMP nodes. Our methodology is based on a small ...

In this study, we describe CLUstering of Energy (CLUE), a novel and parallel density-based clustering. Its development was inspired by the work described in ref. (Rodriguez and Laio, 2014). In Section ...

BLAKE3 is the most recent evolution of the BLAKE cryptographic hash function. Created by Jack O'Connor, Jean-Philippe Aumasson, Samuel Neves, and Zooko Wilcox-O'Hearn, BLAKE3 combines general ...