The emergence of High-Level Synthesis (HLS) tools shifted the paradigm of hardware
design by making the process of map** high-level programming languages to hardware …

The increasing heterogeneity in the applications to be processed ceased ASICs to exist as
the most efficient processing platform. Hybrid processing platforms such as CPU+ FPGA are …

This paper presents a systematic literature review (SLR) of the vulnerabilities of field-
programmable gate arrays (FPGAs), based on 51 carefully selected articles from a pool of …

Modern and recent architectures of vision-based Convolutional Neural Networks (CNN)
have improved detection and prediction accuracy significantly. However, these algorithms …

Reinforcement learning (RL) has shown great performance in solving sequential decision-
making problems. While a lot of works have done on processing state information such as …

This paper proposes an ensemble learning model that is resistant to adversarial attacks. To
build resilience, we introduced a training process where each member learns a radically …

The emergence of data analytics frameworks requires computational resources and memory
subsystems that can naturally scale to manage massive amounts of diverse data. Given the …

The gap between computation speed and I/O access on modern computing systems
imposes processing limitations in data-intensive applications. Employing high-end memory …

Deep convolutional neural networks have shown high efficiency in computer visions and
other applications. However, with the increase in the depth of the networks, the …

Cloud computing has transformed corporate and consumer lives. Cloud computing may
save startups and businesses money and improve services. Independent developers may …