4 papers
APT: Accelerating Diffusion Transformers via Attention Probability-Guided Pruning and Quantization
Sungyeob Yoo, Seeyeon Kim, Joonyong Park +2
Recent advances in generative AI have significantly increased the demand for high-resolution image and video generation, positioning diffusion models as a core technology. Among th…
MASQ: Accelerating Masked Diffusion via Stage-Wise Multi-Precision Quantization
Seeyeon Kim, Jaehun Lee, Sungyeob Yoo +1
Masked diffusion enables region-specific image synthesis but suffers from computational redundancy, since the entire image is processed each timestep even though only the masked re…
RED: Energy Optimization Framework for eDRAM-based PIM with Reconfigurable Voltage Swing and Retention-aware Scheduling
Jae-Young Kim, Donghyuk Kim, Seungjae Yoo +3
In the era of artificial intelligence (AI), Transformer demonstrates its performance across various applications. The excessive amount of parameters incurs high latency and energy…
Exploration of Systolic-Vector Architecture with Resource Scheduling for Dynamic ML Workloads
Jung-Hoon Kim, Sungyeob Yoo, Seungjae Moon +1
As artificial intelligence (AI) and machine learning (ML) technologies disrupt a wide range of industries, cloud datacenters face ever-increasing demand in inference workloads. How…