CUDA array-sum kernels: from example to practice
Published on November 16, 2025, Tensara’s article introduces beginners to writing a simple CUDA kernel for adding arrays. The example can be a starting point for evaluating GPU workloads.
Source: Guia para iniciantes: kernel CUDA de soma de arrays (tensara.org). Text prepared with AI from this source.
What happened and what to do
On November 16, 2025, Tensara published an introductory article on writing a simple CUDA kernel to add arrays. The platform hosts GPU programming challenges, and the article is aimed at engineers learning to develop CUDA kernels.
A company can turn this starting point into a practical evaluation of GPU workloads: select relevant operations, create reproducible tests, and monitor performance and correctness across different data volumes. Wendelmaques can help structure the evaluation and implement testing and tracking tools suited to the company’s infrastructure.
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Wendelmaques can diagnose a GPU computing opportunity, define a scope for kernel testing, and implement benchmark automation, monitoring, and results analysis.
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