Zobrazeno 1 - 10
of 387
pro vyhledávání: '"A. Checconi"'
Multi-hop reasoning (MHR) is a process in artificial intelligence and natural language processing where a system needs to make multiple inferential steps to arrive at a conclusion or answer. In the context of knowledge graphs or databases, it involve
Externí odkaz:
http://arxiv.org/abs/2406.07727
Autor:
Laukemann, Jan, Helal, Ahmed E., Anderson, S. Isaac Geronimo, Checconi, Fabio, Soh, Yongseok, Tithi, Jesmin Jahan, Ranadive, Teresa, Gravelle, Brian J, Petrini, Fabrizio, Choi, Jee
High-dimensional sparse data emerge in many critical application domains such as cybersecurity, healthcare, anomaly detection, and trend analysis. To quickly extract meaningful insights from massive volumes of these multi-dimensional data, scientists
Externí odkaz:
http://arxiv.org/abs/2403.06348
In this short paper, we introduce the Ridgeline model, an extension of the Roofline model [4] for distributed systems. The Roofline model targets shared memory systems, bounding the performance of a kernel based on its operational intensity, and the
Externí odkaz:
http://arxiv.org/abs/2209.01368
Autor:
Nguyen, Andy, Helal, Ahmed E., Checconi, Fabio, Laukemann, Jan, Tithi, Jesmin Jahan, Soh, Yongseok, Ranadive, Teresa, Petrini, Fabrizio, Choi, Jee W.
Tensor decomposition (TD) is an important method for extracting latent information from high-dimensional (multi-modal) sparse data. This study presents a novel framework for accelerating fundamental TD operations on massively parallel GPU architectur
Externí odkaz:
http://arxiv.org/abs/2201.12523
SU3\_Bench is a microbenchmark developed to explore performance portability across multiple programming models/methodologies using a simple, but nontrivial, mathematical kernel. This kernel has been derived from the MILC lattice quantum chromodynamic
Externí odkaz:
http://arxiv.org/abs/2103.00571
Autor:
Helal, Ahmed E., Laukemann, Jan, Checconi, Fabio, Tithi, Jesmin Jahan, Ranadive, Teresa, Petrini, Fabrizio, Choi, Jeewhan
The analysis of high-dimensional sparse data is becoming increasingly popular in many important domains. However, real-world sparse tensors are challenging to process due to their irregular shapes and data distributions. We propose the Adaptive Linea
Externí odkaz:
http://arxiv.org/abs/2102.10245
Autor:
Carla Prezioso, Dolores Limongi, Paola Checconi, Marco Ciotti, Jacopo M. Legramante, Carlo M. Petrangeli, Francesca Leonardis, Alfredo Giovannelli, Alessandro Terrinoni, Sergio Bernardini, Marilena Minieri, Cartesio D’Agostini
Publikováno v:
International Journal of Molecular Sciences, Vol 25, Iss 16, p 8930 (2024)
Coronavirus disease 2019 (COVID-19), caused by the SARS-CoV-2 virus, has had a significant impact on global health, with severe cases often characterized by a worsening cytokine storm. Since it has been described that the NF-κB signaling pathway, re
Externí odkaz:
https://doaj.org/article/f02498da69d44ed284bc2860b2f3127b
Publikováno v:
Frontiers in Cellular and Infection Microbiology, Vol 14 (2024)
Externí odkaz:
https://doaj.org/article/2208f5b305a24767871fae26f24e3624
Autor:
Patrizia Russo, Francesca Milani, Antonio De Iure, Stefania Proietti, Dolores Limongi, Carla Prezioso, Paola Checconi, Vincenzo Zagà, Federica Novazzi, Fabrizio Maggi, Guido Antonelli, Stefano Bonassi
Publikováno v:
International Journal of Molecular Sciences, Vol 25, Iss 11, p 5834 (2024)
Cigarette smoking is a primary contributor to mortality risks and is associated with various diseases. Among these, COPD represents a significant contributor to global mortality and disability. The objective of this study is to investigate the effect
Externí odkaz:
https://doaj.org/article/4de92d75c74947a3b596655879c13189
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