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All Journal Jurnal Ilmiah Teknologi dan Rekayasa Prosiding KOMMIT Bulletin of Electrical Engineering and Informatics Bulletin of Electrical Engineering and Informatics ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah KOMPUTASI Jurnal Mitra Manajemen InComTech: Jurnal Telekomunikasi dan Komputer JITK (Jurnal Ilmu Pengetahuan dan Komputer) Communications in Science and Technology JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal INFOTEL Prosiding SeNTIK STI&K
Sunny Arief Sudiro
STMIK Jakarta STI&K
Automotive Engineering Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology

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Journal : JITK (Jurnal Ilmu Pengetahuan dan Komputer)

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AUTOMATION OF THE BERT AND RESNET50 MODEL INFERENCE CONFIGURATION ANALYSIS PROCESS Medi Noviana; Sunny Arief Sudiro
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 10 No. 2 (2024): JITK Issue November 2024
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v10i2.5053

Abstract

Inference is the process of using models to make predictions on new data, performance is measured based on throughput, latency, GPU memory usage, and GPU power usage. The models used are BERT and ResNet50. The right configuration can be used to maximise inference. Configuration analysis needs to be done to find out which configuration is right for model inference. The main challenge in the analysis process lies in its inherent time-intensive nature and inherent complexity, making it a task that is not simple. The analysis needs to be made easier by building an automation programme. The automation programme analyses the BERT model inference configuration by dividing 10 configurations namely bert-large_config_0 to bert-large_config_9, the result is that the right configuration is bert-large_config_2 resulting in a throughput of 12.8 infer/sec with a latency of 618 ms. While the ResNet50 model is divided into 5 configurations, namely resnet50_config_0 to resnet50_config_4, the result is that the right configuration is resnet50_config_1 which produces a throughput of 120.6 infer/sec with a latency of 60.9 ms. The automation programme has the benefit of facilitating the process of analysing the inference configuration.
Co-Authors Admira, Tb. M. Adrie Ahmad Rifai Aqwam Rosadi Kardian Atit Pertiwi Bayu Kumoro Yakti Bheta Agus Wardijono Delta Agus Wardiananto Farina Pramanik Fauzy, Rizky Muhammad Hariyanto Hariyanto Hariyanto Harmanto, Suryadi Hening Hendrato Herdyan Kharisma Putra Ire Puspa Wardhani Johan Harlan Johan Harlan LATIFAH Linda Handayani, Linda Linda Wahyu Widianti Lingga Hermanto Luky Adrianto Lussiana, ETP Maydhi Wiratamara Nursholehah Medi Noviana Mhd. Ridwan Missa Lamsani MM SKom Fivtatianti Hendajani Muhamad Kusumah Ramadhan Nizuar, Irvan Prayitno, Ragiel Hadi Prihandoko . Putu Wiweka Prasetyananda Ragiel Hadi Prayitno Robby Candra Saepul Lukman SALEH, ANDHI RACHMAN Sarifuddin Madenda Satya Ariyono Satya Ariyono Suci Kembaren Suci Kembaren Tubagus Maulana Kusuma Vella Roviqoh