ACCELERATING AI COMPUTING

The main goal of AI Computing Platform Lab is advancing modern computing systems to efficiently accelerate AI models.

Current openings

▷ Undergraduate Research Interns (one slot available)

▷ Master / Ph.D. Programs

▷ Research Professor (one slot available)

Our research goal

How to make AI model run faster
or energy efficiently?

Our direction

HW-Aware
AI Model

HW-SW
Co-Design

System-Level
Optimization

Scale-Out

Latest News


  • 2022-03-01 Hyojin Kim, Eunseo Yang have joined our group as an undergraduate research intern. Welcome!
  • 2022-02-01 Sooyoung Kwon has joined our group as an undergraduate research intern. Welcome!
  • 2022-01-01 Juyeon Kim has joined our group as an undergraduate research intern. Welcome!
  • 2021-12-01 HaYoung Lim has joined our group as an undergraduate research intern. Welcome!
  • 2021-09-01 Jieui Kang has joined our group as a Master student. Welcome!
  • 2021-09-01 Yeseo Jang has joined our group as an undergraduate research intern this fall. Welcome!
  • 2021-07-01 We have two undergraduate research interns joining this summer. Welcome aboard JaeRyung and JiHo.
  • 2021-05-17 1 paper is accepted for publication in IEEE Transactions on Computers (co-author).
  • 2021-04-01 AI Computing Platform Lab (ACPL) was founded.

Latest Publications


  • “S-FLASH: A NAND Flash-based Deep Neural Network Accelerator Exploiting Bit-level Sparsity”, IEEE TC, Jun. 2022 [DOI].
  • “CREMON: Cryptography Embedded on the Convolutional Neural Network Accelerator”, IEEE TCAS-II, Dec. 2020 [DOI].
  • “An Energy-Efficient Deep Convolutional Neural Network Training Accelerator for In-Situ Personalization on Smart Devices”, IEEE JSSC, Oct. 2020 [DOI].