no code implementations • 18 Jan 2022 • Corey Lammie, Jason K. Eshraghian, Chenqi Li, Amirali Amirsoleimani, Roman Genov, Wei D. Lu, Mostafa Rahimi Azghadi
The impact of device and circuit-level effects in mixed-signal Resistive Random Access Memory (RRAM) accelerators typically manifest as performance degradation of Deep Learning (DL) algorithms, but the degree of impact varies based on algorithmic features.
1 code implementation • 20 Jun 2022 • Chenqi Li, Corey Lammie, Xuening Dong, Amirali Amirsoleimani, Mostafa Rahimi Azghadi, Roman Genov
During the past two decades, epileptic seizure detection and prediction algorithms have evolved rapidly.
no code implementations • 17 Oct 2022 • Chenqi Li, Yuan Ren, Bingbing Liu
To tackle the first challenge, we propose FPA raycasting and surrogate model raydrop.