AI Computing Platform Laboratory
Department of Computer Science and Engineering, Artificial Intelligence Convergence, Ewha Womans University
The AI Computing Platform Laboratory (ACPL) has been a lab of excellence for efficient AI hardware & software research since its founding in 2021.
Our main research goal is to accelerate AI model in a faster and energy-efficient way through HW/SW co-design. Specifically, our research interests include:
- Designing Neural Processing Unit (NPU) and domain-specific hardware
- Making AI model efficient, such as quantization, pruning, and knowledge distillation
- Hardware-aware neural architecture search (HW-Aware NAS) and neural architecture accelerator search (NAAS)
- Processing-in-memory (PIM)
news
| Nov 21, 2024 | Our lab has one paper accepted for publication in IEEE Access. |
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| Oct 11, 2024 | Doeun Kim has joined our group as an undergraduate intern. Welcome! |
| Oct 01, 2024 | Suhyeon Kim has joined our group as an undergraduate intern. Welcome! |
| Sep 19, 2024 | Jaeyoung Choi has joined our group as an undergraduate intern. Welcome! |
| Sep 14, 2024 | Our lab has two papers accepted for presentation at 2024 International Conference on Communications, Computing, Cybersecurity, and Informatics (CCCI). |
latest publications
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SCIESpDRAM: Efficient In-DRAM Acceleration of Sparse Matrix-Vector MultiplicationIEEE Access, vol.12, pp.176009-176021, 2024
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AutoCaps-Zero: Searching for Hardware-Efficient Squash Function in Capsule NetworksIn 2024 International Conference on Communications, Computing, Cybersecurity, and Informatics (CCCI)
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OCW: Enhancing Few-Shot Learning with Optimized Class-Weighting MethodsIn 2024 International Conference on Communications, Computing, Cybersecurity, and Informatics (CCCI)