Blackwell moves matmul accumulation to Tensor Memory
A post published on July 18, 2026 describes 256 KB of Tensor Memory per SM and a change in the thread model for matmul.
Source: Como Blackwell move a acumulação de matmul para Tensor Memory (t.co). Text prepared with AI from this source.
What happened and what to do
Published on July 18, 2026, the post describes Blackwell Tensor Memory as a separate 256 KB space per SM for Tensor Core results. According to the author, this approach can reduce the number of threads issuing matmul operations from 128 to one, changing where accumulators are stored and how kernels are organized.
A company running GPU workloads can inventory its matmul kernels, identify accumulation bottlenecks, and compare implementations with reproducible measurements. The work could include performance tests, regression monitoring, and an adoption strategy aligned with existing hardware and applications.
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Wendelmaques can diagnose matmul workloads and optimization opportunities, define an implementation scope, and deliver the tests, monitoring, and operation needed to evaluate the change.
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