Traditional scientific simulations have for quite some time, dominated the workloads of high-
performance computing infrastructures across the world. With recent advancement in data …

Large Language Models (LLMs) have demonstrated impressive performance on a range of
Natural Language Processing (NLP) tasks. Unfortunately, the immense amount of …

The rise in the demand for new performance portability frameworks for heterogeneous
computing systems has brought with it a number of proposals of workable metrics for …

Database peptide search is the primary computational technique for identifying peptides
from the mass spectrometry (MS) data. Graphical Processing Units (GPU) computing is now …

In the evolving landscape of high-performance computing, especially to fight the end of
Moore's Law and Dennard's Scaling, the ability to shift between compute-bound and …

Over the past few years, GPUs have found widespread adoption in many scientific domains,
offering notable performance and energy efficiency advantages compared to CPUs …

The surge in intelligent edge computing has propelled the adoption and expansion of the
distributed embedded systems (DESs). Numerous scheduling strategies are introduced to …

With the advent of heterogeneous systems that combine CPUs and GPUs, designing a
supercomputer becomes more and more complex. The hardware characteristics of GPUs …

Maintaining performant code in a world of fast-evolving computer architectures and
programming models poses a significant challenge to scientists. Typically, benchmark codes …

This publication-based dissertation comprises two papers that argue for more efficient
resource utilization by challenging the status quo on common DL practices and providing …