Robert Adolf

According to our database1, Robert Adolf authored at least 12 papers between 2011 and 2023.

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Bibliography

2023
Characterizing the Scalability of Graph Convolutional Networks on Intel<sup>®</sup> PIUMA.
Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2023

2018
Weightless: Lossy weight encoding for deep neural network compression.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
Deep Learning for Computer Architects
Synthesis Lectures on Computer Architecture, Morgan & Claypool Publishers, ISBN: 978-3-031-01756-8, 2017

Cognitive Computing Safety: The New Horizon for Reliability / The Design and Evolution of Deep Learning Workloads.
IEEE Micro, 2017

A case for efficient accelerator design space exploration via Bayesian optimization.
Proceedings of the 2017 IEEE/ACM International Symposium on Low Power Electronics and Design, 2017

2016
Minerva: Enabling Low-Power, Highly-Accurate Deep Neural Network Accelerators.
Proceedings of the 43rd ACM/IEEE Annual International Symposium on Computer Architecture, 2016

Fathom: reference workloads for modern deep learning methods.
Proceedings of the 2016 IEEE International Symposium on Workload Characterization, 2016

2014
MachSuite: Benchmarks for accelerator design and customized architectures.
Proceedings of the 2014 IEEE International Symposium on Workload Characterization, 2014

2013
Scalable, Multithreaded, Partially-in-Place Sorting.
Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013

2012
Towards Efficient N-x Contingency Selection Using Group betweenness Centrality.
Proceedings of the 2012 SC Companion: High Performance Computing, 2012

2011
Techniques for Improving Filters in Power Grid Contingency Analysis.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2011

High-Performance Computing Applied to Semantic Databases.
Proceedings of the Semanic Web: Research and Applications, 2011


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