Graphics Processing Unit (GPU) devices and their associated software programming
languages and frameworks can deliver the computing performance required to facilitate the …

Graphics processing units (GPUs) are playing a critical role in convolutional neural networks
(CNNs) for image detection. As GPU-enabled CNNs move into safety-critical environments …

Machine learning is among the greatest advancements in computer science and
engineering and is today used to classify or detect objects, a key feature in autonomous …

Increase in graphics hardware performance and improvements in programmability has
enabled GPUs to evolve from a graphics-specific accelerator to a general-purpose …

Graphics processing units (GPUs) are increasingly attractive for both safety-critical and High-
Performance Computing applications. GPU reliability is a primary concern for both the …

The current trend of ever-increasing performance in scientific applications comes with
tremendous growth in energy consumption. In this paper, we present GreenMM framework …

While many algorithm-based fault tolerance (ABFT) schemes have been proposed to detect
soft errors offline in the fast Fourier transform (FFT) after computation finishes, none of the …

Graphics processing units (GPUs) are increasingly common in both safety-critical and high-
performance computing (HPC) applications. Some current supercomputers are composed of …

Graphics processing units (GPUs) have become integral to embedded systems and
supercomputing centres due to their large memory, cutting-edge technology and high …

In this paper we assess and discuss the efficiency and overhead of the Error-Correcting
Code (ECC) mechanism available on modern GPGPUs, which are increasingly used for …