This paper present contributions to the state-of-the art for graphics processing unit (GPU-
based) embedded intelligence (EI) research for architectures and applications. This paper …

Recent GPU architectures support unified virtual memory (UVM), which offers great
opportunities to solve larger problems by memory oversubscription. Although some studies …

Machine learning (ML) techniques have been widely studied to address various challenges
of productively and efficiently running large-scale scientific applications on heterogeneous …

Artificial Intelligence (AI) is being adopted in different domains at an unprecedented scale. A
significant interest in the scientific community also involves leveraging machine learning …

Unified Memory is a single memory address space that is accessible by any processor
(GPUs or CPUs) in a system. NVIDIA's unified memory creates a pool of managed memory …

The high concurrency and high throughput characteristics of graphics processing units
(GPUs) have made researchers continue to use it to optimize distributed parallel computing …

The parallel computing capabilities of GPUs have a significant impact on computationally
intensive iterative tasks. Offloading part or all of the deep learning tasks from the CPU to the …

The FAIR Guiding Principles aim to improve the findability, accessibility, interoperability, and
reusability of digital content by making them both human and machine actionable. However …

Unified Shader Array (USA) is the computing core of the Unified Shader Array Graphic
Processing Unit (GPU), and the shader cores is the basic shader Unit of the Unified Shader …

A multitude of research has been rising for predicting the behavior of different real-world
problems through machine learning models. An erratic nature occurs due to the augmented …