Faaiz Asim

According to our database, Faaiz Asim authored at least 7 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

AccelOrb: FPGA Acceleration of Orb v2 for Fast Molecular Dynamics.

Sunjae Kim, Gwanhong Park, Jeawoo Lim, Faaiz Asim, Jongeun Lee

Proceedings of the 34th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2026

FlowQ: Fixed-point Low-precision Post-Training Quantization Framework for Efficient and Accurate SNN Inference.

Faaiz Asim, Sanhtet Aung, Jongeun Lee

Proceedings of the 31st Asia and South Pacific Design Automation Conference, 2026

2024

Extending Neural Processing Unit and Compiler for Advanced Binarized Neural Networks.

Minjoon Song, Faaiz Asim, Jongeun Lee

Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024

2023

Partial Sum Quantization for Reducing ADC Size in ReRAM-Based Neural Network Accelerators.

Azat Azamat, Faaiz Asim, Jintae Kim, Jongeun Lee

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., December, 2023

2022

A Deep Learning Accelerator Based on a Streaming Architecture for Binary Neural Networks.

Quang Hieu Vo, Linh Ngoc Le, Faaiz Asim, Lok-Won Kim, Choong Seon Hong

IEEE Access, 2022

Centered Symmetric Quantization for Hardware-Efficient Low-Bit Neural Networks.

Faaiz Asim, Jaewoo Park, Azat Azamat, Jongeun Lee

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Quarry: Quantization-based ADC Reduction for ReRAM-based Deep Neural Network Accelerators.

Azat Azamat, Faaiz Asim, Jongeun Lee

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021