Isak Edo Vivancos

Orcid: 0009-0004-1189-2259

According to our database1, Isak Edo Vivancos authored at least 11 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
BitPruning: Learning Bitlengths for Aggressive and Accurate Quantization.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

2023
cuSCNN : an Efficient CUDA Implementation of Sparse CNNs.
Proceedings of the 13th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, 2023

2021
Boveda: Building an On-Chip Deep Learning Memory Hierarchy Brick by Brick.
Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

FPRaker: A Processing Element For Accelerating Neural Network Training.
Proceedings of the MICRO '21: 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021

2020
TensorDash: Exploiting Sparsity to Accelerate Deep Neural Network Training and Inference.
CoRR, 2020

GOBO: Quantizing Attention-Based NLP Models for Low Latency and Energy Efficient Inference.
Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

TensorDash: Exploiting Sparsity to Accelerate Deep Neural Network Training.
Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

Mocktails: Capturing the Memory Behaviour of Proprietary Mobile Architectures.
Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

Late Breaking Results: Building an On-Chip Deep Learning Memory Hierarchy Brick by Brick.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

2019
Accelerating Image-Sensor-Based Deep Learning Applications.
IEEE Micro, 2019

ShapeShifter: Enabling Fine-Grain Data Width Adaptation in Deep Learning.
Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, 2019


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