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06/21/2023
Geometric Algorithms for k-NN Poisoning
We propose a label poisoning attack on geometric data sets against k-nea...
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04/14/2023
SpChar: Characterizing the Sparse Puzzle via Decision Trees
Sparse matrix computation is crucial in various modern applications, inc...
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01/19/2022
A Mixed Precision, Multi-GPU Design for Large-scale Top-K Sparse Eigenproblems
Graph analytics techniques based on spectral methods process extremely l...
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03/18/2021
Solving Large Top-K Graph Eigenproblems with a Memory and Compute-optimized FPGA Design
Large-scale eigenvalue computations on sparse matrices are a key compone...
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09/22/2020
A reduced-precision streaming SpMV architecture for Personalized PageRank on FPGA
Sparse matrix-vector multiplication is often employed in many data-analy...
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04/27/2020