Search Results - "Putra, Adiwena"

Low Latency YOLOv3-Tiny Accelerator for Low-Cost FPGA Using General Matrix Multiplication Principle by Adiono, Trio, Putra, Adiwena, Sutisna, Nana, Syafalni, Infall, Mulyawan, Rahmat

“…This paper presents a comprehensive hardware accelerator architecture of YOLOv3-Tiny targeted for low-cost FPGA with a high frame rate, high accuracy, and low…”
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Morphling: A Throughput-Maximized TFHE-based Accelerator using Transform-domain Reuse by Prasetiyo, Putra, Adiwena, Kim, Joo-Young

“…Fully Homomorphic Encryption (FHE) has become an increasingly important aspect in modern computing, particularly in preserving privacy in cloud computing by…”
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Full Custom Layout of Neural Network Processing Element Using Push Pull D Flip Flop and Modified Carry Look Ahead Adder by Putra, Adiwena, Adiono, Trio

“…This paper presents a full custom design of a 4-bit ANN processing element, implemented using 120 nm technology. The processing element consists of register,…”
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Strix: An End-to-End Streaming Architecture with Two-Level Ciphertext Batching for Fully Homomorphic Encryption with Programmable Bootstrapping by Putra, Adiwena, Prasetiyo, Chen, Yi, Kim, John, Kim, Joo-Young

“…Homomorphic encryption (HE) enables computations on encrypted data by concealing information under noise for security. However, the process of bootstrapping,…”
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Strix: An End-to-End Streaming Architecture with Two-Level Ciphertext Batching for Fully Homomorphic Encryption with Programmable Bootstrapping by Putra, Adiwena, Prasetiyo, Prasetiyo, Chen, Yi, Kim, John, Kim, Joo-Young

“…Homomorphic encryption (HE) is a type of cryptography that allows computations to be performed on encrypted data. The technique relies on learning with errors…”
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Hardware Dataflow for Convolutional Neural Network Accelerator by Putra, Adiwena, Adiono, Trio, Sutisna, Nana, Syafalni, Infall, Mulyawan, Rahmat

“…Convolutional Neural Network (CNN) is one the most used Artificial Neural Network in AI system. While this type of network managed to achieve high accuracy for…”
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