Ali Hadi Zadeh

14 papers A* 4Journal 6Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Atalanta: A Bit is Worth a "Thousand" Tensor Values. ASPLOS (2) Alberto Delmas Lascorz, Mostafa Mahmoud, Ali Hadi Zadeh, Milos Nikolic, Kareem Ibrahim, Christina Giannoula, Ameer Abdelhadi, Andreas Moshovos
2024	—	`conf`	Every Bit Matters: A Hardware/Software Approach for Enabling More Powerful Machine Learning Models. IEEECONF Enrique Torres-Sánchez, Milos Nikolic, Kareem Ibrahim, Alberto Delmas Lascorz, Ali Hadi Zadeh, Jiahui Wang, Ameer Abdelhadi, Mostafa Mahmoud, Christina Giannoula, Andreas Moshovos
2024	—	`conf`	Schrodinger's FP Training Neural Networks with Dynamic Floating-Point Containers. MLSys Milos Nikolic, Enrique Torres-Sánchez, Jiahui Wang, Ali Hadi Zadeh, Mostafa Mahmoud, Ameer Abdelhadi, Kareem Ibrahim, Andreas Moshovos
2022	J	`jnl`	Mokey: Enabling Narrow Fixed-Point Inference for Out-of-the-Box Floating-Point Transformer Models. CoRR Ali Hadi Zadeh, Mostafa Mahmoud, Ameer Abdelhadi, Andreas Moshovos
2022	A*	`conf`	Mokey: enabling narrow fixed-point inference for out-of-the-box floating-point transformer models. ISCA Ali Hadi Zadeh, Mostafa Mahmoud, Ameer Abdelhadi, Andreas Moshovos
2022	J	`jnl`	Schrödinger's FP: Dynamic Adaptation of Floating-Point Containers for Deep Learning Training. CoRR Milos Nikolic, Enrique Torres-Sánchez, Jiahui Wang, Ali Hadi Zadeh, Mostafa Mahmoud, Ameer Abdelhadi, Andreas Moshovos
2021	A*	`conf`	FPRaker: A Processing Element For Accelerating Neural Network Training. MICRO Omar Mohamed Awad, Mostafa Mahmoud, Isak Edo, Ali Hadi Zadeh, Ciaran Bannon, Anand Jayarajan, Gennady Pekhimenko, Andreas Moshovos
2020	J	`jnl`	FPRaker: A Processing Element For Accelerating Neural Network Training. CoRR Omar Mohamed Awad, Mostafa Mahmoud, Isak Edo Vivancos, Ali Hadi Zadeh, Ciaran Bannon, Anand Jayarajan, Gennady Pekhimenko, Andreas Moshovos
2020	A*	`conf`	GOBO: Quantizing Attention-Based NLP Models for Low Latency and Energy Efficient Inference. MICRO Ali Hadi Zadeh, Isak Edo, Omar Mohamed Awad, Andreas Moshovos
2020	J	`jnl`	GOBO: Quantizing Attention-Based NLP Models for Low Latency and Energy Efficient Inference. CoRR Ali Hadi Zadeh, Andreas Moshovos
2020	J	`jnl`	TensorDash: Exploiting Sparsity to Accelerate Deep Neural Network Training and Inference. CoRR Mostafa Mahmoud, Isak Edo Vivancos, Ali Hadi Zadeh, Omar Mohamed Awad, Gennady Pekhimenko, Jorge Albericio, Andreas Moshovos
2020	A*	`conf`	TensorDash: Exploiting Sparsity to Accelerate Deep Neural Network Training. MICRO Mostafa Mahmoud, Isak Edo, Ali Hadi Zadeh, Omar Mohamed Awad, Gennady Pekhimenko, Jorge Albericio, Andreas Moshovos
2019	J	`jnl`	A Matrix-Inversion Technique for FPGA-Based Real-Time EMT Simulation of Power Converters. IEEE Trans. Ind. Electron. Ali Hadi Zadeh, Matin Hashemi, Mohammad Labbaf, Mostafa Parniani
2019	—	`conf`	Deep Learning Language Modeling Workloads: Where Time Goes on Graphics Processors. IISWC Ali Hadi Zadeh, Zissis Poulos, Andreas Moshovos