Isak Edo Vivancos

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

BitPruning: Learning Bitlengths for Aggressive and Accurate Quantization.

Milos Nikolic, Ghouthi Boukli Hacene, Ciaran Bannon, Alberto Delmas Lascorz, Matthieu Courbariaux, Omar Mohamed Awad, Isak Edo Vivancos, Yoshua Bengio, Vincent Gripon, Andreas Moshovos

Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

2023

cuSCNN : an Efficient CUDA Implementation of Sparse CNNs.

Mohamed A. Elgammal, Omar Mohamed Awad, Isak Edo Vivancos, Andreas Moshovos, Vaughn Betz

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.

Isak Edo Vivancos, Sayeh Sharify, Daniel Ly-Ma, Ameer Abdelhadi, Ciaran Bannon, Milos Nikolic, Mostafa Mahmoud, Alberto Delmas Lascorz, Gennady Pekhimenko, Andreas Moshovos

Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

FPRaker: A Processing Element For Accelerating Neural Network Training.

Omar Mohamed Awad, Mostafa Mahmoud, Isak Edo, Ali Hadi Zadeh, Ciaran Bannon, Anand Jayarajan, Gennady Pekhimenko, Andreas Moshovos

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.

Mostafa Mahmoud, Isak Edo Vivancos, Ali Hadi Zadeh, Omar Mohamed Awad, Gennady Pekhimenko, Jorge Albericio, Andreas Moshovos

CoRR, 2020

GOBO: Quantizing Attention-Based NLP Models for Low Latency and Energy Efficient Inference.

Ali Hadi Zadeh, Isak Edo, Omar Mohamed Awad, Andreas Moshovos

Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

TensorDash: Exploiting Sparsity to Accelerate Deep Neural Network Training.

Mostafa Mahmoud, Isak Edo, Ali Hadi Zadeh, Omar Mohamed Awad, Gennady Pekhimenko, Jorge Albericio, Andreas Moshovos

Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

Mocktails: Capturing the Memory Behaviour of Proprietary Mobile Architectures.

Mario Badr, Carlo Delconte, Isak Edo, Radhika Jagtap, Matteo Andreozzi, Natalie D. Enright Jerger

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.

Isak Edo Vivancos, Sayeh Sharify, Milos Nikolic, Ciaran Bannon, Mostafa Mahmoud, Alberto Delmas Lascorz, Andreas Moshovos

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

2019

Accelerating Image-Sensor-Based Deep Learning Applications.

Mostafa Mahmoud, Dylan Malone Stuart, Zissis Poulos, Alberto Delmas Lascorz, Patrick Judd, Sayeh Sharify, Milos Nikolic, Kevin Siu, Isak Edo Vivancos, Jorge Albericio, Andreas Moshovos

IEEE Micro, 2019

ShapeShifter: Enabling Fine-Grain Data Width Adaptation in Deep Learning.

Alberto Delmas Lascorz, Sayeh Sharify, Isak Edo Vivancos, Dylan Malone Stuart, Omar Mohamed Awad, Patrick Judd, Mostafa Mahmoud, Milos Nikolic, Kevin Siu, Zissis Poulos, Andreas Moshovos

Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, 2019