Abstract Large Language Models (LLMs) and other large foundation models have achieved
impressive results, but their size exacerbates existing resource consumption and latency …

Large Language Models (LLMs) and other large foundation models have achieved
noteworthy success, but their size exacerbates existing resource consumption and latency …

Modern Cyber Physical Systems (CPS) applications require hardware capable of optimized
performance-per-watt efficency. This is usually obtained through massively parallel …

Cache memory is mainly inculcated in systems to overcome the gap created in-between the
main memory and CPUs due to their performance issues. Since, the speed of the processors …

Users need an expert opinion to learn about their current computer or purchasing. In
addition to these, computer and computer component manufacturers have to carry out …

As a subset of machine learning, meta-learning, or learning to learn, aims at improving the
model's capabilities by employing prior knowledge and experience. A meta-learning …

Large language models (LLMs) have achieved huge success in numerous natural language
process (NLP) tasks. However, it faces the challenge of significant resource consumption …

The many-body correlation function is a fundamental computation kernel in modern physics
computing applications, eg, Hadron Contractions in Lattice quantum chromodynamics …

Recommender Systems (RS) play a crucial role in our lives. As users become continuously
connected to the internet, they are less tolerant of obsolete recommendations made by an …

Cache memory is an important part in computer systems. In set associative cache memory
each incoming memory block from the main memory into cache memory should be placed in …