JSSC

A 11.0 TOPS/W Diffusion Accelerator with Temporal Data Reuse for Real-Time Text-to-Motion Generation

Sungwoong Yune, Jieon Yoon, Hangyeol Lee, Adiwena Putra, Jaehoon Heo, Joo-Young Kim

A Real-Time Deep Reinforcement Learning Processor for Mapless Autonomous Navigation With Unified Actor-Critic Network and Inference-on-Request Scheduling

J. Oh, J.-X. Liu, Y.-C. Teng, H.-C. Wang, and D. Jeon

Adelia: A 4-nm LLM Processing Unit with Streamlined Dataflow and Dual-Mode Parallelism for Maximizing Hardware Efficiency

Sukbin Lim, Jung-Hoon Kim, Seungjae Moon, Junseo Cha, Dongjin Seo, Jongho Kim, Hunjong Lee, Jinwon Lee, Joo-Young Kim

A 57.3 fps 12.8 TFLOPS/W Text-to-Motion Processor with Inter-Iteration Output Sparsity and Inter-Frame Joint Similarity

Jaehoon Heo, Adiwena Putra, Sungwoong Yune, Jieon Yoon, Hangyeol Lee, Ji-Hoon Kim, Joo-Young Kim

A Real-Time Speech Enhancement Processor for Hearing Aids in 28-nm CMOS

S. Park, S. Lee, J. Park, H.-S. Choi, K. Lee, and D. Jeon

C-Transformer: A Homogeneous DNN-Transformer/Spiking-Transformer Processor for Large-Language-Models

Sangyeob Kim, S.Kim, W.Jo, S.Kim, S.Hong, N.Lee, J.Lee, Hoi-Jun Yoo

DPIM: A 2T1C eDRAM Transformer-in-Memory Chip with Sparsity-Aware Quantization and Heterogeneous Dense-Sparse Core

Donghyuk Kim, Jae-Young Kim, Hyunjun Cho, Seungjae Yoo, Sukjin Lee, Sungwoong Yune, Sejeong Yang, Hoichang Jeong, Keonhee Park, Ki-Soo Lee, Jongchan Lee, Chanheum Han, Gunmo Koo, Yuli Han, Jaejin Kim, Jaemin Kim, Kyuho Jason Lee, Joo-Hyu...

ED-MPIM: An Energy-Efficient Event-Driven Smart Vision SoC With High-Linearity and Reconfigurable MRAM PIM

W. Xie, H. Sang, B. Kwon, D. Im, S. Kim, Sangyeob Kim, K. Lee, Hoi-Jun Yoo

EdgeDiff: Energy-Efficient Multi-Modal Few-Step Diffusion Model Accelerator Using Mixed-Precision and Reordered Group Quantization

S. Kim, J. Oh, J. So, Y. Choi, Sangyeob Kim, D. Im, G. Park, Hoi-Jun Yoo

Hawkeye: A Point Cloud Neural Network Processor with Virtual Pillar and Quadtree-based Workload Management for Real-Time Outdoor BEV Detection

Sukbin Lim, Jaehoon Heo, Jinho Yang, Joo-Young Kim

Dyamond: Compact and Efficient 1T1C DRAM IMC Accelerator With Bit Column Addition for Memory-Intensive AI

S.Hong, W.Jo, S.Kim, Sangyeob Kim, S.Um, K.Sohn, Hoi-Jun Yoo

EPU: An Energy-Efficient Explainable AI Accelerator with Sparsity-free Computation and Heat Map Compression/Pruning

Junsoo Kim, Seunghee Han, Geonwoo Ko, Ji-Hoon Kim, Changha Lee, Taewoo Kim, Chan-Hyun Youn, Joo-Young Kim

LOG-CIM: An Energy-Efficient Logarithmic Quantization Computing-In-Memory Processor with Exponential Parallel Data Mapping and Zero-Aware 6T Dual-WL Cell

S.Um, S.Kim, S.Hong, Sangyeob Kim, Hoi-Jun Yoo

NeRF-Navi: An Energy-Efficient NeRF 3-D Path Planning Processor With Reconfigurable Approximate/Accurate Bit Offloading Core

S. Kim, S. Song, W. Park, J. Ryu, G.Park, Sangyeob Kim, S. Kim, D. Han, Hoi-Jun Yoo

NeuGPU: An Energy-Efficient Neural Graphics Processing Unit for Instant Modeling and Real-Time Rendering on Mobile Devices

J.Ryu, H.Kwon, W.Park, Z.Li, B.Kwon, D.Han, D.Im, Sangyeob Kim, H.Joo., M.Kim, Hoi-Jun Yoo

SP-PIM: A Super-Pipelined Processing-In-Memory Accelerator with Local Error Prediction for Area/Energy-Efficient On-Device Learning

Jaehoon Heo, Jung-Hoon Kim, Wontak Han, Jaeuk Kim, Joo-Young Kim

C-DNN: An Energy-Efficient Complementary Deep-Neural-Network Processor With Heterogeneous CNN/SNN Core Architecture

Sangyeob Kim, S.Kim, S.Hong, S.Kim, D.Han, J.Choi, Hoi-Jun Yoo

DynaPlasia: An eDRAM In-Memory Computing-Based Reconfigurable Spatial Accelerator With Triple-Mode Cell

S.Kim, Z.Li, S.Um, W.Jo, S.Ha, J.Lee, Sangyeob Kim, D.Han, Hoi-Jun Yoo

MetaVRain: A Mobile Neural 3-D Rendering Processor With Bundle-Frame-Familiarity-Based NeRF Acceleration and Hybrid DNN Computing

D.Han, J.Ryu, Sangyeob Kim, S.Kim, J.Park, Hoi-Jun Yoo

Neuro-CIM: ADC-Less Neuromorphic Computing-in-Memory Processor With Operation Gating/Stopping and Digital–Analog Networks

Sangyeob Kim, S.Kim, S.Um, S.Kim, K.Kim, Hoi-Jun Yoo

SNPU: An Energy-Efficient Spike Domain Deep-Neural-Network Processor With Two-Step Spike Encoding and Shift-and-Accumulation Unit

Sangyeob Kim, S.Kim, S.Um, S.Kim, J.Lee, Hoi-Jun Yoo