Results 121 to 130 of about 79,266 (321)
Economic Inquiry, Volume 63, Issue 2, Page 424-440, April 2025.Abstract Eaton, Kortum, and Kramarz (2011) (EKK) discovered empirical patterns from French manufacturing firms that a baseline firm heterogeneity model could not explain. The authors proposed and estimated a model that closely matches the patterns observed in French data.
Jiatong Zhong
wiley +1 more source
CUDA-LLM: LLMs Can Write Efficient CUDA Kernels
Large Language Models (LLMs) have demonstrated strong capabilities in general-purpose code generation. However, generating the code which is deeply hardware-specific, architecture-aware, and performance-critical, especially for massively parallel GPUs, remains a complex challenge.
Chen, Wentao +4 more
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Insect Molecular Biology, EarlyView.Comparison between developmental stages (larvae, pupae, worker) in Pogonomyrmex californicus revealed significant stage‐specific differences in Gene Body Methylated frequencies. Methylation sites were highly correlated between WGBS and ONT in P. californicus Genome‐wide methylation was low (~3%) and highly clustered within gene bodies (GBM), especially
Tania Chavarria‐Pizarro +4 more
wiley +1 more source
International Transactions in Operational Research, EarlyView.Abstract We study the problem of locating hydrogen fueling stations for zero‐emission aquaculture vessels in Norway and model the problem as a location‐routing problem, considering both the location of hydrogen fueling stations and the routing of aquaculture vessels.
Šárka Štádlerová +3 more
wiley +1 more source
Cuda-based technology for improving the efficiency of the aircraft motion
, 2016 Serhii Tovkach
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Journal of Educational Measurement, EarlyView.Abstract Pretrained large language models (LLMs) have gained popularity in recent years due to their high performance in various educational tasks such as learner modeling, automated scoring, automatic item generation, and prediction. Nevertheless, LLMs are black box approaches where models are less interpretable, and they may carry human biases and ...
Guher Gorgun +1 more
wiley +1 more source
Quantitative Biology, Volume 14, Issue 2, June 2026.Abstract Computed tomography (CT) images are often severely corrupted by artifacts in the presence of metals. Existing supervised metal artifact reduction (MAR) approaches suffer from performance instability on known data due to their reliance on limited paired metal‐clean data, which limits their clinical applicability. Moreover, existing unsupervised
Jie Wen +3 more
wiley +1 more source
Механика машин, механизмов и материалов, 2019 The implementation of a boundary element method (BEM) using three nonlinear form functions designed for determination of half-plane potential distribution was considered in the current paper.
Sergei S. Sherbakov +1 more
doaj
CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning
The exponential growth in demand for GPU computing resources has created an urgent need for automated CUDA optimization strategies. While recent advances in LLMs show promise for code generation, current SOTA models achieve low success rates in improving CUDA speed.
Li, Xiaoya +4 more
openaire +2 more sources