Thomas Randall

• Bachelor of Science
• PhD Candidate at Clemson University

The growing need for energy-efficient computing has led to many novel system innovations, including liquid immersion cooling. While many myths about the technology have been dispelled, the actual impact of this cooling solution on thermal conditions in real computing scenarios remains under-reported and under-studied. In this work, we collate data...

Large Language Models (LLMs) capture a certain amount of world knowledge spanning many general and technical topics, including programming and performance. Without fine-tuning, the use of In-Context Learning (ICL) can specialize LLM outputs to perform complex tasks. In this work, we seek to demonstrate the regressive capabilities of LLMs in a perfo...

Word2Vec remains one of the highly-impactful innovations in the field of Natural Language Processing (NLP) that represents latent grammatical and syntactical information in human text with dense vectors in a low dimension. Word2Vec has high computational cost due to the algorithm's inherent sequentiality, intensive memory accesses, and the large vo...