Hardware performance counters provide detailed insight into the performance of
applications running on modern systems, but they can be challenging to use without …

The existing machine learning-based energy efficiency and performance models for the
servers have achieved high prediction accuracy with the support of abundant training data …

Hardware performance counter (HPC) has been widely used for learning based malware
detection model because of its light-weight overhead and universality. Unfortunately, we find …

Many scientific applications use Message Passing Interface for distributed-memory
parallelism. These applications simulate complex physical phenomena and are routinely …

High-performance computing provides computing power for a variety of scientific disciplines,
supporting advancements by offering insights beyond metacognition. Maximizing computing …

With increasing system performance and complexity, it is becoming increasingly crucial to
examine the scaling behavior of an application and thus determine performance bottlenecks …

Heterogeneity has turned into one of the most profound and challenging characteristics of
today's HPC environments. Modern HPC platforms have become highly heterogeneous …

ANUGA is a Python-based finite volume solver on the unstructured grid for shallow water
model in two dimensions for flood modelling. This paper is an account of the hardware …

We present a lightweight library that automatically collects several hardware counters for
MPI applications. We analyze the effect of strong and weak scaling on the counters. We first …

Control Hijacking Attack (CHA) is one of the significant ways to exploit the buffer related
vulnerability. New code reuse techniques used for the control hijacking attack can …