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03/08/2023
SMaLL: A Software Framework for portable Machine Learning Libraries
Interest in deploying Deep Neural Network (DNN) inference on edge device...
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09/29/2021
Delayed Asynchronous Iterative Graph Algorithms
Iterative graph algorithms often compute intermediate values and update ...
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09/16/2020
Towards an Objective Metric for the Performance of Exact Triangle Count
The performance of graph algorithms is often measured in terms of the nu...
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09/16/2020
Exploration of Fine-Grained Parallelism for Load Balancing Eager K-truss on GPU and CPU
In this work we present a performance exploration on Eager K-truss, a li...
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11/15/2019
Delta-stepping SSSP: from Vertices and Edges to GraphBLAS Implementations
GraphBLAS is an interface for implementing graph algorithms. Algorithms ...
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04/23/2019
A Flexible Framework for Parallel Multi-Dimensional DFTs
Multi-dimensional discrete Fourier transforms (DFT) are typically decomp...
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03/04/2019
CodeNet: Training Large Scale Neural Networks in Presence of Soft-Errors
This work proposes the first strategy to make distributed training of ne...
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11/27/2018
A Unified Coded Deep Neural Network Training Strategy Based on Generalized PolyDot Codes for Matrix Multiplication
This paper has two contributions. First, we propose a novel coded matrix...
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09/20/2018
High Performance Zero-Memory Overhead Direct Convolutions
The computation of convolution layers in deep neural networks typically ...
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05/24/2018
Coded FFT and Its Communication Overhead
We propose a coded computing strategy and examine communication costs of...
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11/24/2016