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Disambiguation of "Soliman, Taha"

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Enhancing the Utilization of Dot-Product Engines in Deep Learning Accelerators.

, , and . IPDPS Workshops, page 840-843. IEEE, (2020)

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Khalil Tahai

Saoud Asaad Taha

Amr Soliman Ali Soliman

Karin Soliman

Inas Soliman

 

Other publications of authors with the same name

Increasing Throughput of In-Memory DNN Accelerators by Flexible Layerwise DNN Approximation., , , , and . IEEE Micro, 42 (6): 17-24 (2022)A Novel DRAM-Based Process-in-Memory Architecture and its Implementation for CNNs., , , , , , , and . ASP-DAC, page 35-42. ACM, (2021)Adaptable Approximation Based on Bit Decomposition for Deep Neural Network Accelerators., , , and . AICAS, page 1-4. IEEE, (2021)Fast validation of DRAM protocols with timed petri nets., , , , , and . MEMSYS, page 133-147. ACM, (2019)Ultra-low power approximate processing-in-memory acceleration for deep neural networks = Approximative Prozessierung viellagiger neuronaler Netze in Speichermatrizen für Systeme mit ultra-geringer Leistungsaufnahme.. Kaiserslautern University of Technology, Germany, (2022)Torwards Variability Immune Scalable FeFET-based Macros for IMC DNN Accelerators., , , , , , , , and . ICECS, page 1-4. IEEE, (2023)Efficient Hardware Approximation for Bit-Decomposition Based Deep Neural Network Accelerators., , , , and . SOCC, page 1-6. IEEE, (2022)Enhancing the Utilization of Dot-Product Engines in Deep Learning Accelerators., , and . IPDPS Workshops, page 840-843. IEEE, (2020)SimPyler: A Compiler-Based Simulation Framework for Machine Learning Accelerators., , , and . ASAP, page 213-220. IEEE, (2023)A Ferroelectric FET Based In-memory Architecture for Multi-Precision Neural Networks., , , , , , and . SoCC, page 96-101. IEEE, (2020)