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06/21/2022
Nimble GNN Embedding with Tensor-Train Decomposition
This paper describes a new method for representing embedding tables of g...
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11/19/2019
CUP: Cluster Pruning for Compressing Deep Neural Networks
We propose Cluster Pruning (CUP) for compressing and accelerating deep n...
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04/06/2019
Load-Balanced Sparse MTTKRP on GPUs
Sparse matricized tensor times Khatri-Rao product (MTTKRP) is one of the...
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09/07/2018
A Microbenchmark Characterization of the Emu Chick
The Emu Chick is a prototype system designed around the concept of migra...
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08/20/2018
A Simple Methodology for Computing Families of Algorithms
Discovering "good" algorithms for an operation is often considered an ar...
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05/01/2018
Accurate, Fast and Scalable Kernel Ridge Regression on Parallel and Distributed Systems
We propose two new methods to address the weak scaling problems of KRR: ...
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03/14/2018
SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping
This paper presents a new method, which we call SUSTain, that extends re...
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03/13/2017