Zobrazeno 1 - 10
of 1 792
pro vyhledávání: '"Vanderbruggen, A."'
Autor:
Ding, Xianzhong, Chen, Le, Emani, Murali, Liao, Chunhua, Lin, Pei-Hung, Vanderbruggen, Tristan, Xie, Zhen, Cerpa, Alberto E., Du, Wan
Large Language Models (LLMs), including the LLaMA model, have exhibited their efficacy across various general-domain natural language processing (NLP) tasks. However, their performance in high-performance computing (HPC) domain tasks has been less th
Externí odkaz:
http://arxiv.org/abs/2311.12833
Autor:
Chen, Le, Ding, Xianzhong, Emani, Murali, Vanderbruggen, Tristan, Lin, Pei-hung, Liao, Chuanhua
Large language models (LLMs) are demonstrating significant promise as an alternate strategy to facilitate analyses and optimizations of high-performance computing programs, circumventing the need for resource-intensive manual tool creation. In this p
Externí odkaz:
http://arxiv.org/abs/2308.07505
Autor:
Chen, Le, Lin, Pei-Hung, Vanderbruggen, Tristan, Liao, Chunhua, Emani, Murali, de Supinski, Bronis
In recent years, language models (LMs), such as GPT-4, have been widely used in multiple domains, including natural language processing, visualization, and so on. However, applying them for analyzing and optimizing high-performance computing (HPC) so
Externí odkaz:
http://arxiv.org/abs/2306.14979
In recent months, Language Models (LMs) have become a part of daily discourse, with focus on OpenAI and the potential of Artificial General Intelligence (AGI). Furthermore, the leaking of LLama's weights to the public has led to an influx of innovati
Externí odkaz:
http://arxiv.org/abs/2306.10196
Autor:
Vanderbruggen, Thomas
We study the power spectral density of continuous time Markov chains and explicit its relationship with the eigenstructure of the infinitesimal generator. This result helps us understand the dynamics of the number of customers for a M/M/1 queuing pro
Externí odkaz:
http://arxiv.org/abs/2302.03467
Autor:
Yu, Sixing, Emani, Murali, Liao, Chunhua, Lin, Pei-Hung, Vanderbruggen, Tristan, Shen, Xipeng, Jannesari, Ali
With the increasing prevalence of artificial intelligence (AI) in diverse science/engineering communities, AI models emerge on an unprecedented scale among various domains. However, given the complexity and diversity of the software and hardware envi
Externí odkaz:
http://arxiv.org/abs/2212.06352
The FAIR Guiding Principles aim to improve the findability, accessibility, interoperability, and reusability of digital content by making them both human and machine actionable. However, these principles have not yet been broadly adopted in the domai
Externí odkaz:
http://arxiv.org/abs/2211.02092
Autor:
Flynn, Patrick, Vanderbruggen, Tristan, Liao, Chunhua, Lin, Pei-Hung, Emani, Murali, Shen, Xipeng
Programming Language Processing (PLP) using machine learning has made vast improvements in the past few years. Increasingly more people are interested in exploring this promising field. However, it is challenging for new researchers and developers to
Externí odkaz:
http://arxiv.org/abs/2208.05596
Autor:
Mayokun Olutogun, Anna Vanderbruggen, Christoph Frey, Martin Rudolph, Dominic Bresser, Stefano Passerini
Publikováno v:
Carbon Energy, Vol 6, Iss 5, Pp n/a-n/a (2024)
Abstract The demand for lithium‐ion batteries (LIBs) is driven largely by their use in electric vehicles, which is projected to increase dramatically in the future. This great success, however, urgently calls for the efficient recycling of LIBs at
Externí odkaz:
https://doaj.org/article/dfa7345c82514266a306b7d0da24e38c
