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Ali BanaGozar
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2020 – today
- 2024
- [c10]Joyjit Kundu, Wenzhe Guo, Ali BanaGozar, Udari De Alwis, Sourav Sengupta, Puneet Gupta, Arindam Mallik:
Performance Modeling and Workload Analysis of Distributed Large Language Model Training and Inference. IISWC 2024: 57-67 - [i2]Joyjit Kundu, Wenzhe Guo, Ali BanaGozar, Udari De Alwis, Sourav Sengupta, Puneet Gupta, Arindam Mallik:
Performance Modeling and Workload Analysis of Distributed Large Language Model Training and Inference. CoRR abs/2407.14645 (2024) - 2023
- [c9]Ali BanaGozar, Seyed Hossein Hashemi Shadmehri, Sander Stuijk, Mehdi Kamal, Ali Afzali-Kusha, Henk Corporaal:
ReMeCo: Reliable Memristor-Based in-Memory Neuromorphic Computation. ASP-DAC 2023: 396-401 - 2022
- [c8]Seyed Hossein Hashemi Shadmehri, Ali BanaGozar, Mehdi Kamal, Sander Stuijk, Ali Afzali-Kusha, Massoud Pedram, Henk Corporaal:
SySCIM: SystemC-AMS Simulation of Memristive Computation In-Memory. DATE 2022: 1467-1472 - [c7]Fernando García-Redondo, Ali BanaGozar, Kanishkan Vadivel, Henk Corporaal, Shidhartha Das:
SACA: System-level Analog CIM Accelerators Simulation Framework: Accurate Simulation of Non-Ideal Components. DCIS 2022: 1-6 - [c6]Kanishkan Vadivel, Fernando García-Redondo, Ali BanaGozar, Henk Corporaal, Shidhartha Das:
SACA: System-level Analog CIM Accelerators Simulation Framework: Architecture and Cycle-accurate System-to-device Simulator. DCIS 2022: 1-6 - 2021
- [c5]Melvin Galicia, Ali BanaGozar, Karl J. X. Sturm, Felix Staudigl, Sander Stuijk, Henk Corporaal, Rainer Leupers:
NeuroVP: A System-Level Virtual Platform for Integration of Neuromorphic Accelerators. SoCC 2021: 236-241 - 2020
- [c4]Kanishkan Vadivel, Lorenzo Chelini, Ali BanaGozar, Gagandeep Singh, Stefano Corda, Roel Jordans, Henk Corporaal:
TDO-CIM: Transparent Detection and Offloading for Computation In-memory. DATE 2020: 1602-1605 - [c3]Ali BanaGozar, Kanishkan Vadivel, Joonas Multanen, Pekka Jääskeläinen, Sander Stuijk, Henk Corporaal:
System Simulation of Memristor Based Computation in Memory Platforms. SAMOS 2020: 152-168 - [i1]Kanishkan Vadivel, Lorenzo Chelini, Ali BanaGozar, Gagandeep Singh, Stefano Corda, Roel Jordans, Henk Corporaal:
TDO-CIM: Transparent Detection and Offloading for Computation In-memory. CoRR abs/2007.00060 (2020)
2010 – 2019
- 2019
- [c2]Ali BanaGozar, Kanishkan Vadivel, Sander Stuijk, Henk Corporaal, Stephan Wong, Muath Abu Lebdeh, Jintao Yu, Said Hamdioui:
CIM-SIM: Computation In Memory SIMuIator. SCOPES 2019: 1-4 - 2018
- [j2]Vignesh Ravichandran, Can Li, Ali BanaGozar, J. Joshua Yang, Qiangfei Xia:
Artificial neural networks based on memristive devices. Sci. China Inf. Sci. 61(6): 060423:1-060423:14 (2018) - [j1]Mohammad Ansari, Arash Fayyazi, Ali BanaGozar, Mohammad Ali Maleki, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram:
PHAX: Physical Characteristics Aware Ex-Situ Training Framework for Inverter-Based Memristive Neuromorphic Circuits. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(8): 1602-1613 (2018) - 2017
- [c1]Ali BanaGozar, Mohammad Ali Maleki, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram:
Robust neuromorphic computing in the presence of process variation. DATE 2017: 440-445
Coauthor Index
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last updated on 2024-12-13 19:12 CET by the dblp team
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