DAC

CANNON: A CXL-Based Near-Memory Processing Architecture for Approximate Nearest Neighbor Search on Real Hardware

Ganghyun Kim, Hyeonjun An, Hyunjoon Kim, Rathijit Sen, Kangkyu Park, Jinho Baek, Kwangsik Shin, Youngpyo Joo, and Kwanghyun Park

CoX-MoE: Coalesced Expert Execution for High-Throughput MoE Inference with AMX-Enabled CPU-GPU Co-Execution

Muyoung Son, Yi Chen, Seungjae Yoo, Soongyu Choi, Joo-Young Kim

MASQ: Accelerating Masked Diffusion via Stage-Wise Multi-Precision Quantization

Seeyeon Kim, Jaehun Lee, Sungyeob Yoo, Joo-Young Kim

MXP: A Posit-Inspired Microscaling Format for Vision-Language Tasks

Dohyun Kim, Byungkuk Yoon, Jehun Lee, Juheun Lee, Jae-Joon Kim

ORBIS: Output-Guided Token Reduction with Distribution-Aware Matching for Video Diffusion Acceleration

Hangyeol Lee, Joo-Young Kim

PIMony: A DRAM-PIM Design for Harmonizing PIM and Memory Accesses with Minimal Interference

Gyeonghwan Park, Inseong Choi, Byungkuk Yoon, Sanghyeok Han, Jae-Joon Kim

PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers

Jiin Kim, Gwangoo Yeo, Yujeong Choi, and Minsoo Rhu

SePArate: Segmenting Patterns from Defects in Wafer Manufacturing Using Weak Supervision

Dain Kwon, Changmin Shin, Sunjong Park, Kanghyun Choi, Hyeyoon Lee, Jaewon Jang, Minseok Choi, Jinho Lee

SpecMoE: A Fast and Efficient Mixture-of-Experts Inference via Self-Assisted Speculative Decoding

Jehyeon Bang, Eunyeong Cho, Ranggi Hwang, Jinha Chung, and Minsoo Rhu

TopGQ: Fast GNN Post-Training Quantization Leveraging Topology Information

Dain Kwon, Kanghyun Choi, Hyeyoon Lee, Sunjong Park, Seoyong Lee, Sukjin Kim, Jinho Lee

ZK-Flex: A Flexible and Scalable Framework for Accelerating Zero-Knowledge Proofs

Adiwena Putra, Cuong Manh Duong, Anh Quang Pham, Joo-Young Kim

ABC-FHE: A Resource-Efficient Accelerator Enabling Bootstrappable Parameters for Client-Side Fully Homomorphic Encryption

Sungwoong Yune, Hyojeong Lee, Adiwena Putra, Hyunjun Cho, Cuong Duong Manh, Jaeho Jeon, Joo-Young Kim

Near-Memory LLM Inference Processor based on 3D DRAM-to-logic Hybrid Bonding

Sanghyeok Han, Byungkuk Yoon, Gyeonghwan Park, Choungki Song, Dongkyun Kim, Jae-Joon Kim

SplitSync: Bank Group-Level Split-Synchronization for High-Performance DRAM PIM

Byungkuk Yoon, Sanghyeok Han, Gyeonghwan Park, Jae-Joon Kim

4-Transistor Ternary Content Addressable Memory Cell Design using Stacked Hybrid IGZO/Si Transistors

Munhyeon Kim, Jae-Joon Kim

Fused Sampling and Grouping with Search Space Reduction for Efficient Point Cloud Acceleration

Hyunsung Yoon, Jae-Joon Kim

Maintaining Sanity: Algorithm-based Comprehensive Fault Tolerance for CNNs

Jinhyo Jung, Hwisoo So, Woobin Ko, Sumedh Shridhar Joshi, Yebon Kim, Yohan Ko, Aviral Shrivastava, Kyoungwoo Lee

A Memory-Efficient Edge Inference Accelerator with XOR-based Model Compression

Hyunseung Lee, Jihoon Hong, Soosung Kim, Seung Yul Lee, and Jae W. Lee

Enabling Hard Constraints in Differentiable Neural Network and Accelerator Co-Exploration

Deokki Hong, Kanghyun Choi, Hye Yoon Lee, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee

Fast Adversarial Training with Dynamic Batch-level Attack Control

Jaewon Jung, Jaeyong Song, Hongsun Jang, Hyeyoon Lee, Kanghyun Choi, Noseong Park, Jinho Lee

Fast Adversarial Training with Dynamic Batch-level Attack Control

Jaewon Jung, Jaeyong Song, Hongsun Jang, Hyeyoon Lee, Kanghyun Choi, Noseong Park, and Jinho Lee

In-Memory Neural Network Accelerator based on eDRAM Cell with Enhanced Retention Time

Inhwan Lee, Eunhwan Kim, Nameun Kang, Hyunmyung Oh and Jae-Joon Kim

Occamy: Memory-efficient GPU Compiler for DNN Inference

Jaeho Lee, Shinnung Jeong, Seungbin Song, Kunwoo Kim, Heelim Choi, Youngsok Kim, Hanjun Kim