Brunno F. Goldstein

Orcid: 0000-0002-5450-3557

According to our database1, Brunno F. Goldstein authored at least 13 papers between 2014 and 2022.

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Bibliography

2022
A Highly-Efficient Error Detection Technique for General Matrix Multiplication using Tiled Processing on SIMD Architecture.
Proceedings of the IEEE 40th International Conference on Computer Design, 2022

2021
Preventing DNN Model IP Theft via Hardware Obfuscation.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2021

A Lightweight Error-Resiliency Mechanism for Deep Neural Networks.
Proceedings of the 22nd International Symposium on Quality Electronic Design, 2021

2020
Cost-effective, Energy-efficient, and Scalable Storage Computing for Large-scale AI Applications.
ACM Trans. Storage, 2020

Reliability Evaluation of Compressed Deep Learning Models.
Proceedings of the 11th IEEE Latin American Symposium on Circuits & Systems, 2020

Fast Deep Neural Networks Convergence using a Weightless Neural Model.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019
A Feasible FPGA Weightless Neural Accelerator.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

Teaching High Performance Computing through Parallel Programming Marathons.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

Hardware-Accelerated Similarity Search with Multi-Index Hashing.
Proceedings of the 2019 IEEE Intl Conf on Dependable, 2019

2016
Task Scheduling in Sucuri Dataflow Library.
Proceedings of the 2016 International Symposium on Computer Architecture and High Performance Computing Workshops, 2016

2015
Exploiting Parallelism in Linear Algebra Kernels through Dataflow Execution.
Proceedings of the 2015 International Symposium on Computer Architecture and High Performance Computing Workshops, 2015

2014
Stack-Tagged Dataflow.
Proceedings of the 26th IEEE International Symposium on Computer Architecture and High Performance Computing Workshop, 2014

A Minimalistic Dataflow Programming Library for Python.
Proceedings of the 26th IEEE International Symposium on Computer Architecture and High Performance Computing Workshop, 2014


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