HPCA

IVE: An Accelerator for Single-Server Private Information Retrieval Using Versatile Processing Elements

S. Kim, H. Ji, J. Kim, W. Choi, J. Park, and J. Ahn

LILo: Harnessing the On-chip Accelerators in Intel CPUs for Compressed LLM Inference Acceleration

H. Kim, Q. Xia, J. Huang, N. Wang, Y. Lee, J. Ahn, W. K Feghali, R. Wang, and N. Kim

LoCaLUT: Harnessing Capacity-Computation Tradeoffs for LUT-Based Inference in DRAM-PIM

Junguk Hong, Changmin Shin, Sukjin Kim, Si Ung Noh, Taehee Kwon, SeongYeon Park, Hanjun Kim, Youngsok Kim, Jinho Lee

LoCaLUT: Harnessing Capacity-Computation Tradeoffs for LUT-Based Inference in DRAM-PIM

Junguk Hong, Changmin Shin, Sukjin Kim, Si Ung Noh, Taehee Kwon, Seongyeon Park, Hanjun Kim, Youngsok Kim, Jinho Lee

MemSOS: OS-Guided Selective Memory Mirroring

Junghoon Kim, Jongheon Jeong, Seokwon Moon, Seong Hoon Seo, Yeonhong Park, Jinkyu Jeong, Nam Sung Kim, and Jae W. Lee

PASCAL: A Phase-Aware Scheduling Algorithm for Serving Reasoning-based Large Language Models

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

PIM-malloc: A Fast and Scalable Dynamic Memory Allocator for Processing-In-Memory (PIM) Architectures

Dongjae Lee, Bongjoon Hyun, Youngjin Kwon, and Minsoo Rhu

ReScue: Reliable and Secure CXL Memory

C. Song, A. A. Cruz, M. J. Kim, M. Wi, G. Ye, K. Kim, S. Lee, J. Ahn, and N. Sung Kim

RoMe: Row Granularity Access Memory System for Large Language Models

H. Nam*, S. Baek*, J. Kim, M. J. Kim, and J. Ahn

SMTcheck: Accurate SMT Interference Prediction to Improve Scheduling Efficiency in Datacenters

Sanghyun Kim, Jinhyeok Oh, Taehun Kim, Gyutae Kim, Youngsok Kim, Jaehyun Hwang, Joonsung Kim

The Cost of Dynamic Reasoning: Demystifying AI Agents and Test-Time Scaling from an AI Infrastructure Perspective

Jiin Kim, Byeongjun Shin, Jinha Chung, and Minsoo Rhu

V-Rex: Real-Time Streaming Video LLM Acceleration via Dynamic KV Cache Retrieval

Donghyuk Kim, Sejeong Yang, Wonjin Shin, Joo-Young Kim

Anaheim: Architecture and Algorithms for Processing Fully Homomorphic Encryption in Memory

J. Kim, S. Yun, H. Ji, W. Choi, S. Kim, and J. Ahn

EXION: Exploiting Inter- and Intra-Iteration Output Sparsity for Diffusion Models

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

FACIL: Flexible DRAM Address Mapping for SoC-PIM Cooperative On-device LLM Inference

Seong Hoon Seo, Junghoon Kim, Donghyun Lee, Seonah Yoo, Seokwon Moon, Yeonhong Park, and Jae W. Lee

Piccolo: Large-Scale Graph Processing with Fine-Grained In-Memory Scatter-Gather

Changmin Shin, Jaeyong Song, Hongsun Jang, Dogeun Kim, Jun Sung, Taehee Kwon, Jae Hyung Ju, Frank Liu, Yeonkyu Choi, Jinho Lee

An LPDDR-based CXL-PNM Platform for TCO-efficient Inference of Transformer-based Large Language Models

S.-S. Park, K. Kim, J. So, J. Jung, J. Lee, K. Woo, N. Kim, Y. Lee, H. Kim, Y. Kwon, J. Kim, J. Lee, Y. Cho, Y. Tai, J. Cho, H. S, J. Ahn, and N. Kim

FIGNA: Integer Unit-based Accelerator Design for FP-INT GEMM Preserving Numerical Accuracy

Jaeyong Jang*, Yulhwa Kim*, Juheun Lee, Jae-Joon Kim

Morphling: A Throughput-Maximized TFHE-based Accelerator using Transform-domain Reuse

Prasetiyo, Adiwena Putra, Joo-young Kim

Pathfinding Future PIM Architectures by Demystifying a Commercial PIM Technology

Bongjoon Hyun, Taehun Kim, Dongjae Lee, and Minsoo Rhu

Smart-Infinity: Fast Large Language Model Training using Near-Storage Processing on a Real System

Hongsun Jang, Jaeyong Song, Jaewon Jung, Jaeyoung Park, Youngsok Kim, Jinho Lee

Smart-Infinity: Fast Large Language Model Training using Near-Storage Processing on a Real System

Hongsun Jang, Jaeyong Song, Jaewon Jung, Jaeyoung Park, Youngsok Kim, Jinho Lee

SPADE: Sparse Pillar-based 3D Object Detection Accelerator for Autonomous Driving

Minjae Lee, Seongmin Park, Hyungmin Kim, Minyong Yoon, Janghwan Lee, Jun Won Choi, Nam Sung Kim, Mingu Kang, Jungwook Choi

GROW: A Row-Stationary Sparse-Dense GEMM Accelerator for Memory-Efficient Graph Convolutional Neural Networks

Ranggi Hwang, Minhoo Kang, Jiwon Lee, Dongyun Kam, Youngjoo Lee, and Minsoo Rhu

LightTrader: A Standalone AI-enabled High-Frequency Trading System with 16 TFLOPS / 64 TOPS Deep Learning Inference Accelerators

Sungyeob Yoo, Hyunsung Kim, Jinseok Kim, Sunghyun Park, Joo-Young Kim, Jinwook Oh

SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators

Mingi Yoo, Jaeyong Song, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee

SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators

Mingi Yoo, Jaeyong Song, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee

SHADOW: Preventing Row Hammer in DRAM with Intra-Subarray Row Shuffling

M. Wi*, J. Park*, S. Ko, M. J. Kim, N. Kim, E. Lee, and J. Ahn