svd
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A parallelized implementation of Principal Component Analysis (PCA) using Singular Value Decomposition (SVD) in OpenMP for C. The procedure used is Modified Gram Schmidt algorithm. The method for Classical Gram Schmidt is also available for use.
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May 9, 2019 - C
Cortex-M3 is run under QEMU for CLion testing
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Apr 8, 2022 - C
Distributed-memory, double-precision, polar decomposition (QDWH/ZOLO-PD) of a dense matrix, svd (QDWH/ZOLOPD-SVD) of a dense matrix
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Jun 3, 2020 - C
The KAUST SVD (KSVD) is a high performance software framework for computing a dense SVD on distributed-memory manycore systems.
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Nov 8, 2018 - C
The vectorized (AVX-512) batched singular value decomposition algorithm for matrices of order two.
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Dec 16, 2022 - C
Streamlining Software Design
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May 3, 2024 - C
Vectorization of the Jacobi-type methods for the SVD and the EVD
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Mar 2, 2024 - C
Facial Recognition using supervised machine learning
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May 15, 2018 - C
Optimized Singular Value Decomposition (SVD) on an ARM machine
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Nov 25, 2020 - C
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