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From nvcc to warps: how a CUDA kernel runs

Published on July 8, 2026, the article follows a vector-addition kernel from compilation with nvcc to execution by GPU warps.

By Wendelmaques ·

Source: Rastreamento de um kernel CUDA da compilação à execução por warps (fergusfinn.com). Text prepared with AI from this source.

What happened and what to do

Published on July 8, 2026, the article follows a CUDA vector-addition kernel from compilation with nvcc to the warps that execute it on the GPU. It connects these stages to show the kernel's path from compilation to execution.

A company developing or operating GPU workloads could implement instrumentation to track compilation and execution, record performance metrics, and compare kernel versions. A collection pipeline and dashboard can help identify regressions and guide tuning without assuming the solution requires AI.

How the consultancy can help

Wendelmaques can diagnose how your team compiles, runs, and monitors kernels, define the instrumentation scope, and implement pipelines and dashboards suited to your infrastructure. Ongoing operation can be included in the agreed scope.

Next step

Send a short description of your CUDA environment and performance or monitoring challenge. Wendelmaques can assess the case and prepare a scoped proposal.

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