Recent work has investigated the use of hardware performance counters (HPCs) for the
detection of malware running on a system. These works gather traces of HPCs for a variety …

Computer architecture embraces a tremendous number of ever-changing inter-connected
concepts and information, yet computer architecture education is very often static, seemingly …

Recent developments in Artificial Intelligence (AI) and Machine Learning (ML), driven by a
substantial increase in the size of data in emerging computing systems, have led into …

The growing complexity of contemporary computing systems heightens susceptibility to
emerging cyber threats. Recent advancements in computer architecture security leverage …

Systems connected to the Internet are highly susceptible to denial-of-service attacks that can
compromise service availability, causing damage to customers and providers. Due to errors …

In recent years, automatic data-driven modeling with machine learning (ML) has received
considerable attention as an alternative to analytical modeling for many modeling tasks …

Heterogeneous systems-on-chip (SoCs) integrate diverse cores with different performance
and energy tradeoffs. Scheduling applications with soft deadline constraints is highly …

This article proposes a runtime model that relates server energy consumption to its overall
thermal envelope, using hardware performance counters and experimental measurements …

Power efficiency is one of the key challenges facing the HPC co-design community, sparking
interest in the ARM processor architecture as a low-power high-efficiency alternative to the …

Modern science is often conducted on large scale, distributed, heterogeneous and high-
performance computing infrastructures. Increasingly, the scale and complexity of both the …