CUDA C++: first steps in parallel programming
In a post published on November 3, 2025, NVIDIA presents a step-by-step introduction to CUDA C++ through a simple parallel programming example.
Source: Uma introdução passo a passo a CUDA C++ (developer.nvidia.com). Text prepared with AI from this source.
What happened and what to do
In a post dated November 3, 2025, NVIDIA presents a step-by-step introduction to CUDA C++ using a simple parallel programming example. The material is a starting point for engineers learning to develop for GPUs.
A company can assess whether any of its systems’ computations could benefit from parallel execution and build a CUDA C++ proof of concept. The work can include identifying suitable workloads, comparing performance and cost with the current implementation, and monitoring GPU use before deciding on deployment.
How the consultancy can help
Wendelmaques can diagnose candidate workloads, scope a CUDA C++ proof of concept, and implement instrumentation and monitoring to assess how it performs on the company’s infrastructure.
Next step
Send a short description of the computation or system you want to assess to receive a scoped proposal.
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