Triton: GPU data access with block pointers
Published on September 23, 2025, the post covers tensor storage and the use of tl.make_block_ptr, strides, and offsets in Triton kernels.
Source: `tl.make_block_ptr` do Triton para acesso a dados na GPU (x.com). Text prepared with AI from this source.
What happened and what to do
Published on September 23, 2025, the post explains how tensors are stored in memory and presents Triton's tl.make_block_ptr for accessing GPU data. It also covers strides and offsets and uses visual resources to illustrate the concepts. The post notes that understanding block pointers helps engineers reason about data access in Triton kernels.
A company developing kernels can map tensor access patterns and review how strides and offsets are used, identifying opportunities to improve or correct GPU processing. The response could include instrumentation, tests, and performance monitoring; AI is not necessary for this work.
How the consultancy can help
Wendelmaques can diagnose access patterns and kernel context, define an implementation scope, and support testing, instrumentation, and operation of the agreed improvements.
Next step
Send a short description of your kernels or GPU access issue to receive a proposal with a defined scope.
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