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08/16/2023
Towards Zero Memory Footprint Spiking Neural Network Training
Biologically-inspired Spiking Neural Networks (SNNs), processing informa...
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08/16/2023
Boosting Logical Reasoning in Large Language Models through a New Framework: The Graph of Thought
Recent advancements in large-scale models, such as GPT-4, have showcased...
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07/15/2023
Creating a Dataset for High-Performance Computing Code Translation: A Bridge Between HPC Fortran and C++
In this study, we present a novel dataset for training machine learning ...
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06/26/2023
LM4HPC: Towards Effective Language Model Application in High-Performance Computing
In recent years, language models (LMs), such as GPT-4, have been widely ...
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06/16/2023
Structured Thoughts Automaton: First Formalized Execution Model for Auto-Regressive Language Models
In recent months, Language Models (LMs) have become a part of daily disc...
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03/15/2023
Machine Learning-Driven Adaptive OpenMP For Portable Performance on Heterogeneous Systems
Heterogeneity has become a mainstream architecture design choice for bui...
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12/13/2022
Towards Seamless Management of AI Models in High-Performance Computing
With the increasing prevalence of artificial intelligence (AI) in divers...
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11/03/2022
Making Machine Learning Datasets and Models FAIR for HPC: A Methodology and Case Study
The FAIR Guiding Principles aim to improve the findability, accessibilit...
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08/11/2022
