Deep Learning Language Modeling Workloads: Where Time Goes on Graphics Processors. - Ali Hadi Zadeh; Zissis Poulos; Andreas Moshovos (IISWC, 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)

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 (MICRO, 2020)

GOBO: Quantizing Attention-Based NLP Models for Low Latency and Energy Efficient Inference. - Ali Hadi Zadeh; Isak Edo; Omar Mohamed Awad; Andreas Moshovos (MICRO, 2020)

GOBO: Quantizing Attention-Based NLP Models for Low Latency and Energy Efficient Inference. - Ali Hadi Zadeh; Andreas Moshovos (CoRR, 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)

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 (MICRO, 2021)

Mokey: enabling narrow fixed-point inference for out-of-the-box floating-point transformer models. - Ali Hadi Zadeh; Mostafa Mahmoud; Ameer Abdelhadi; Andreas Moshovos (ISCA, 2022)

Schrödinger's FP: Dynamic Adaptation of Floating-Point Containers for Deep Learning Training. - Milos Nikolic 002; Enrique Torres-Sánchez; Jiahui Wang; Ali Hadi Zadeh; Mostafa Mahmoud; Ameer Abdelhadi; Andreas Moshovos (CoRR, 2022)

Every Bit Matters: A Hardware/Software Approach for Enabling More Powerful Machine Learning Models. - Enrique Torres-Sánchez; Milos Nikolic 002; Kareem Ibrahim; Alberto Delmas Lascorz; Ali Hadi Zadeh; Jiahui Wang; Ameer Abdelhadi; Mostafa Mahmoud; Christina Giannoula; Andreas Moshovos (IEEECONF, 2024)

Atalanta: A Bit is Worth a "Thousand" Tensor Values. - Alberto Delmas Lascorz; Mostafa Mahmoud; Ali Hadi Zadeh; Milos Nikolic 002; Kareem Ibrahim; Christina Giannoula; Ameer Abdelhadi; Andreas Moshovos (ASPLOS (2), 2024)

Schrodinger's FP Training Neural Networks with Dynamic Floating-Point Containers. - Milos Nikolic 002; Enrique Torres-Sánchez; Jiahui Wang; Ali Hadi Zadeh; Mostafa Mahmoud; Ameer Abdelhadi; Kareem Ibrahim; Andreas Moshovos (MLSys, 2024)