Scientific machine learning benchmarks
Deep learning has transformed the use of machine learning technologies for the analysis of
large experimental datasets. In science, such datasets are typically generated by large-scale …
large experimental datasets. In science, such datasets are typically generated by large-scale …
[PDF][PDF] AI in decision making: transforming business strategies
S Kaggwa, TF Eleogu, F Okonkwo… - … Journal of Research …, 2024 - researchgate.net
This paper delves into the transformative impact of Artificial Intelligence (AI) on strategic
business decisionmaking, offering a nuanced perspective on how AI is reshaping the …
business decisionmaking, offering a nuanced perspective on how AI is reshaping the …
[HTML][HTML] Call for establishing benchmark science and engineering
J Zhan - BenchCouncil Transactions on Benchmarks, Standards …, 2021 - Elsevier
Currently, there is no consistent benchmarking across multi-disciplines. Even no previous
work tries to relate different categories of benchmarks in multi-disciplines. This article …
work tries to relate different categories of benchmarks in multi-disciplines. This article …
Aibench scenario: Scenario-distilling ai benchmarking
Modern real-world application scenarios like Internet services consist of a diversity of AI and
non-AI modules with huge code sizes and long and complicated execution paths, which …
non-AI modules with huge code sizes and long and complicated execution paths, which …
[HTML][HTML] Snnbench: end-to-end ai-oriented spiking neural network benchmarking
Abstract Spiking Neural Networks (SNNs) show great potential for solving Artificial
Intelligence (AI) applications. At the preliminary stage of SNNs, benchmarks are essential for …
Intelligence (AI) applications. At the preliminary stage of SNNs, benchmarks are essential for …
Characterization and Machine Learning Classification of AI and PC Workloads
To better design AI processors, it is critical to characterize artificial intelligence (AI)
workloads and contrast them to normal personal computer (PC) workloads. In this work, we …
workloads and contrast them to normal personal computer (PC) workloads. In this work, we …
[HTML][HTML] HPC AI500 V3. 0: A scalable HPC AI benchmarking framework
In recent years, the convergence of High Performance Computing (HPC) and artificial
intelligence (AI) makes the community desperately need a benchmark to guide the design of …
intelligence (AI) makes the community desperately need a benchmark to guide the design of …
SAIH: A Scalable Evaluation Methodology for Understanding AI Performance Trend on HPC Systems
Novel artificial intelligence (AI) technology has expedited various scientific research, eg,
cosmology, physics, and bioinformatics, inevitably becoming a significant category of …
cosmology, physics, and bioinformatics, inevitably becoming a significant category of …
[HTML][HTML] Stars shine: The report of 2021 BenchCouncil awards
T Zhan, S Chen - BenchCouncil Transactions on Benchmarks, Standards …, 2021 - Elsevier
Stars shine: The report of 2021 BenchCouncil awards - ScienceDirect Skip to main contentSkip
to article Elsevier logo Journals & Books Search RegisterSign in View PDF Download full …
to article Elsevier logo Journals & Books Search RegisterSign in View PDF Download full …
ComFac4LT–Computing Facilities for Language Technologies
G Thakkar, M Tadić, G Rigan - Central European Conference …, 2023 - search.proquest.com
High-performance computing (HPC) is an essential service required in multiple research
areas. This paper maps the existing HPC landscape and enumerates the various access …
areas. This paper maps the existing HPC landscape and enumerates the various access …