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A Weighted Current Summation Based Mixed Signal DRAM-PIM Architecture for Deep Neural Network Inference.

C. Sudarshan, T. Soliman, J. Lappas, C. Weis, M. Sadi, M. Jung, A. Guntoro, and N. Wehn. IEEE J. Emerg. Sel. Topics Circuits Syst., 12 (2): 367-380 (2022)

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Saoud Asaad Taha

Khalil Tahai

Amr Soliman Ali Soliman

Karin Soliman

Inas Soliman

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Increasing Throughput of In-Memory DNN Accelerators by Flexible Layerwise DNN Approximation.C. la Parra, T. Soliman, A. Guntoro, A. Kumar, and N. Wehn. IEEE Micro, 42 (6): 17-24 (2022)Adaptable Approximation Based on Bit Decomposition for Deep Neural Network Accelerators.T. Soliman, C. la Parra, A. Guntoro, and N. Wehn. AICAS, page 1-4. IEEE, (2021)A Novel DRAM-Based Process-in-Memory Architecture and its Implementation for CNNs.C. Sudarshan, T. Soliman, C. la Parra, C. Weis, L. Ecco, M. Jung, N. Wehn, and A. Guntoro. ASP-DAC, page 35-42. ACM, (2021)Fast validation of DRAM protocols with timed petri nets.M. Jung, K. Kraft, T. Soliman, C. Sudarshan, C. Weis, and N. Wehn. 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.T. Soliman. Kaiserslautern University of Technology, Germany, (2022)FELIX: A Ferroelectric FET Based Low Power Mixed-Signal In-Memory Architecture for DNN Acceleration.T. Soliman, N. Laleni, T. Kirchner, F. Müller, A. Shrivastava, T. Kämpfe, A. Guntoro, and N. Wehn. ACM Trans. Embed. Comput. Syst., 21 (6): 84:1-84:25 (November 2022)Enhancing the Utilization of Dot-Product Engines in Deep Learning Accelerators.T. Soliman, A. Runge, and L. Ecco. IPDPS Workshops, page 840-843. IEEE, (2020)SimPyler: A Compiler-Based Simulation Framework for Machine Learning Accelerators.Y. Braatz, D. Rieber, T. Soliman, and O. Bringmann. ASAP, page 213-220. IEEE, (2023)A Ferroelectric FET Based In-memory Architecture for Multi-Precision Neural Networks.T. Soliman, R. Olivo, T. Kirchner, M. Lederer, T. Kämpfe, A. Guntoro, and N. Wehn. SoCC, page 96-101. IEEE, (2020)Neoscope: How Resilient Is My SoC to Workload Churn?J. Rogers, L. Eeckhout, T. Soliman, and M. Jahre. ISCA, page 1296-1310. ACM, (2025)

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Disambiguation of "Soliman, Taha"

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A Weighted Current Summation Based Mixed Signal DRAM-PIM Architecture for Deep Neural Network Inference.

Please choose a person to relate this publication to

Saoud Asaad Taha

Khalil Tahai

Amr Soliman Ali Soliman

Karin Soliman

Inas Soliman

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Soliman, Taha"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A Weighted Current Summation Based Mixed Signal DRAM-PIM Architecture for Deep Neural Network Inference.

Please choose a person to relate this publication to

Saoud Asaad Taha

Khalil Tahai

Amr Soliman Ali Soliman

Karin Soliman

Inas Soliman

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
Harvard
MSOffice XML

A Weighted Current Summation Based Mixed Signal DRAM-PIM Architecture for Deep Neural Network Inference.