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02/03/2023
Construction of Hierarchically Semi-Separable matrix Representation using Adaptive Johnson-Lindenstrauss Sketching
We extend an adaptive partially matrix-free Hierarchically Semi-Separabl...
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09/16/2021
Dr. Top-k: Delegate-Centric Top-k on GPUs
Recent top-k computation efforts explore the possibility of revising var...
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09/18/2020
C-SAW: A Framework for Graph Sampling and Random Walk on GPUs
Many applications require to learn, mine, analyze and visualize large-sc...
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07/02/2020
GSoFa: Scalable Sparse LU Symbolic Factorization on GPUs
Decomposing a matrix A into a lower matrix L and an upper matrix U, whic...
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08/15/2019
Multitask and Transfer Learning for Autotuning Exascale Applications
Multitask learning and transfer learning have proven to be useful in the...
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11/01/2018
Efficient Online Hyperparameter Optimization for Kernel Ridge Regression with Applications to Traffic Time Series Prediction
Computational efficiency is an important consideration for deploying mac...
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04/30/2018
A unified software framework for solving traffic assignment problems
We describe a software framework for solving user equilibrium traffic as...
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01/30/2018