Large Language Models (LLMs) and other large foundation models have achieved noteworthy success, but their size exacerbates existing resource consumption and latency …
A Masola, N Capodieci - International Journal of Parallel, Emergent …, 2023 - Taylor & Francis
Modern Cyber Physical Systems (CPS) applications require hardware capable of optimized performance-per-watt efficency. This is usually obtained through massively parallel …
A Alsharef, P Jain, M Arora, SR Zahra… - 2021 8th international …, 2021 - ieeexplore.ieee.org
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 …
H Zhu, B Zhu, J Jiao - arXiv preprint arXiv:2402.01173, 2024 - arxiv.org
Large language models (LLMs) have achieved huge success in numerous natural language process (NLP) tasks. However, it faces the challenge of significant resource consumption …
Q Wang, Z Peng, B Ren, J Chen… - ACM Transactions on …, 2022 - dl.acm.org
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 …
SS Omran, IA Amory - 2018 International Conference on …, 2018 - ieeexplore.ieee.org
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 …