ggks

Grinnell GPU K-Selection is a suite of CUDA implementations for solving a k-selection problem on a graphics processing unit. The original contributions in the software are two algorithms, bucketSelect and radixSelect, a testing suite for comparing k-selection algorithms, and implementations of other k-selection algorithms from other authors. This software package was used in the experimental portion of paper: Fast K-selection Algorithms for Graphics Processing Units.

Keywords for this software

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References in zbMATH (referenced in 3 articles , 1 standard article )

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  1. Hackel, Timo; Usvyatsov, Mikhail; Galliani, Silvano; Wegner, Jan D.; Schindler, Konrad: Inference, learning and attention mechanisms that exploit and preserve sparsity in CNNs (2020)
  2. Blanchard, Jeffrey D.; Tanner, Jared: GPU accelerated greedy algorithms for compressed sensing (2013)
  3. Alabi, Tolu; Blanchard, Jeffrey D.; Gordon, Bradley; Steinbach, Russel: Fast (k)-selection algorithms for graphics processing units (2012)