With rapid growth in computer hardware technologies and architectures, software programs have become increasingly complex and error-prone. This software complexity has resulted in program crashes and even security threats. ...

This decade has already seen a significant surge in the number of cyber attacks. With the exponential growth of computers in numbers, due to the rise of cyber-physical systems (CPS) and internet-of-things (IoT) devices, ...

The main objective of this research is to efficiently execute learning (model training) of modern machine learning (ML) applications. The recent explosion in data has led to the emergence of data-intensive ML applications ...

A growing number of commercial and enterprise systems are increasingly relying on compute-intensive machine learning algorithms. While the demand for these apaplications is growing, the performance benefits from general-purpose ...

An increasing prevalence of data-irregularity is being seen in applications today, particularly in machine learning, graph analytics, high-performance computing and cybersecurity. Faced with fundamental technology constraints, ...

Multiple trends in computer architecture are beginning to collide as process technology reaches ever smaller feature sizes. Problems with managing power, access times across a die, and increasing complexity to sustain ...

In this dissertation, we propose RADAR - compileR and micro-Architecture supported intrusion prevention, Detection, Analysis and Recovery. RADAR is an infrastructure to help prevent, detect and even recover from attacks ...

Due to their promise for supporting applications society cares about and their unique blend of distributed systems and networking issues, wireless sensor networks (SN) have become an active research area. Most current SN ...