High-Performance FP16 General Matrix Multiplication on NVIDIA Ada Lovelace via CUTLASS and WMMA: A Benchmark and Pipeline-Depth Analysis

Lucas Lima Freitag

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DOI: 10.21203/rs.3.rs-10347375/v1
Published: 2026-07-15
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Publisher: Springer Science and Business Media LLC
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BibTeX

@article{allodium:10.21203/rs.3.rs-10347375/v1,
  title = {High-Performance FP16 General Matrix Multiplication on NVIDIA Ada Lovelace via CUTLASS and WMMA: A Benchmark and Pipeline-Depth Analysis},
  author = {Lucas Lima Freitag},
  year = {2026},
  doi = {10.21203/rs.3.rs-10347375/v1},
  url = {https://doi.org/10.21203/rs.3.rs-10347375/v1}
}

RIS

TY  - JOUR
TI  - High-Performance FP16 General Matrix Multiplication on NVIDIA Ada Lovelace via CUTLASS and WMMA: A Benchmark and Pipeline-Depth Analysis
AU  - Lucas Lima Freitag
PY  - 2026
DO  - 10.21203/rs.3.rs-10347375/v1
UR  - https://doi.org/10.21203/rs.3.rs-10347375/v1
ER  -

APA

Freitag, L. L. (2026). High-Performance FP16 General Matrix Multiplication on NVIDIA Ada Lovelace via CUTLASS and WMMA: A Benchmark and Pipeline-Depth Analysis. https://doi.org/10.21203/rs.3.rs-10347375/v1

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crossref · retrieved 2026-11-07T20:05:18.467Z