Ali Hadi Zadeh

According to our database, Ali Hadi Zadeh authored at least 10 papers between 2019 and 2024.

Collaborative distances:

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

2024

Atalanta: A Bit is Worth a "Thousand" Tensor Values.

Alberto Delmas Lascorz, Mostafa Mahmoud, Ali Hadi Zadeh, Milos Nikolic, Kareem Ibrahim, Christina Giannoula, Ameer Abdelhadi, Andreas Moshovos

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2022

Schrödinger's FP: Dynamic Adaptation of Floating-Point Containers for Deep Learning Training.

Milos Nikolic, Enrique Torres-Sánchez, Jiahui Wang, Ali Hadi Zadeh, Mostafa Mahmoud, Ameer Abdelhadi, Andreas Moshovos

CoRR, 2022

Mokey: enabling narrow fixed-point inference for out-of-the-box floating-point transformer models.

Ali Hadi Zadeh, Mostafa Mahmoud, Ameer Abdelhadi, Andreas Moshovos

Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022

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, 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

2019

A Matrix-Inversion Technique for FPGA-Based Real-Time EMT Simulation of Power Converters.

Ali Hadi Zadeh, Matin Hashemi, Mohammad Labbaf, Mostafa Parniani

IEEE Trans. Ind. Electron., 2019

Deep Learning Language Modeling Workloads: Where Time Goes on Graphics Processors.

Ali Hadi Zadeh, Zissis Poulos, Andreas Moshovos

Proceedings of the IEEE International Symposium on Workload Characterization, 2019