ulmBLAS

A high performance BLAS implementation

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This library is part of my lecture:

Software Basics for High Performance Computing (MATH9367)
Ulm University

• Course page for ulmBLAS
• General course page

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And yes, I am particularly proud of the section demonstrating how to achieve peak performance for the matrix-matrix product:

👉 Achieving peak performance for GEMM

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Note: Further development will take place in ulmBLAS-core.

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Background

The design and implementation of ulmBLAS was strongly inspired by the ideas presented in:

Field G. Van Zee and Robert A. van de Geijn. BLIS: A Framework for Rapidly Instantiating BLAS Functionality. ACM Transactions on Mathematical Software, 41(3), 14:1–14:33, June 2015. https://doi.org/10.1145/2764454

At the time of the initial development of ulmBLAS (mainly in 2014), I was referring to a preprint version of this paper: https://www.cs.utexas.edu/~flame/pubs/blis1_toms_rev3.pdf

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Citation

ulmBLAS is an independent project developed and maintained by Michael C. Lehn (Ulm University).
If you use ulmBLAS in your work, please cite it as:

Michael C. Lehn. ulmBLAS: A high performance BLAS implementation. Ulm University, GitHub. https://github.com/michael-lehn/ulmBLAS, 2014.

BibTeX:

@misc{Lehn_ulmBLAS,
  author       = {Michael C. Lehn},
  title        = {ulmBLAS: A high performance BLAS implementation},
  year         = {2014},
  publisher    = {GitHub},
  howpublished = {\url{https://github.com/michael-lehn/ulmBLAS}},
  note         = {Ulm University, Version 1.0}
}