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Autori: Indic Vladimir

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Naslov Characterize and Compare the Performance of Deep Learning Optimizers in Recurrent Neural Network Architectures (Proceedings Paper)
Autori Zaeed Mohammad Islam Tanzima Z Indic Vladimir  
Info 2024 IEEE 48TH ANNUAL COMPUTERS, SOFTWARE, AND APPLICATIONS CONFERENCE, COMPSAC 2024, (2024), vol. br. , str. 39-44
Projekat U.S. Department of Energy, Office of Science [DE-SC0022843]; PerfROCm project
Ispravka Web of Science   Članak  
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Naslov Refining HPCToolkit for application performance analysis at exascale (Article; Early Access)
Autori Adhianto Laksono Anderson Jonathon Barnett Robert Matthew Grbic Dragana Indic Vladimir  Krentel Mark Liu Yumeng Milakovic Srdjan Phan Wileam Mellor Crummey John 
Info INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS, (2024), vol. br. , str. -
Projekat Exascale Computing Project [17-SC-20-SC]; U.S. Department of Energy Office of Science; National Nuclear Security Administration; Lawrence Liver more National Laboratory [B639429, B645220, B650752, B658833]; Argonne National Laboratory [9F-60073]; Advanced Micro Devices Inc.; Total Energies E&P Research & Technology USA, LLC
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