Band: Coordinated Multi-DNN Inference on Heterogeneous Processors (Joo Seong Jeong, Jingyu Lee, Donghyun Kim, Changmin Jeon, Changjin Jeong, Youngki Lee, Byung-Gon Chun) #전병곤 교수팀 

Orca: A Distributed Serving System for Transformer-Based Generative Models (Gyeong-In Yu, Joo Seong Jeong, Geon-Woo Kim, Soojeong Kim, Byung-Gon Chun) #전병곤 교수팀 

Hippo: Sharing Computations in Hyper-Parameter Optimization (Ahnjae Shin, Joo Seong Jeong, Do Yoon Kim, Soyoung Jung, Byung-Gon Chun) #전병곤 교수팀 

WindTunnel: Towards Differentiable ML Pipelines Beyond a Single Model (Gyeong-In Yu, Saeed Amizadeh, Sehoon Kim, Artidoro Pagnoni, Ce Zhang, Byung-Gon Chun, Markus Weimer, Matteo Interlandi) #전병곤 교수팀 

Row-Streaming Dataflow Using a Chaining Buffer and Systolic Array+ Structure (Hweesoo Kim, Sunjung Lee, Jaewan Choi, Jung Ho Ahn) #안정호 교수팀

A 40nm 4.81 TFLOPS/W 8b Floating-Point Training Processor for Non-Sparse Neural Networks Using Shared Exponent Bias and 24-Way Fused Multiply-Add Tree (Jeongwoo Park, Sunwoo Lee, Dongsuk Jeon) #전동석 교수팀

Behemoth: A Flash-centric Training Accelerator for Extreme-scale DNNs (Shine Kim, Yunho Jin, Gina Sohn, Jonghyun Bae, Tae Jun Ham, and Jae W. Lee) #이재욱 교수팀

FlashNeuron: SSD-Enabled Large-Batch Training of Very Deep Neural Networks (Jonghyun Bae, Jongsung Lee, Yunho Jin, Sam Son, Shine Kim, Hakbeom Jang, Tae Jun Ham, and Jae W. Lee) #이재욱 교수팀

Layerweaver: Maximizing Resource Utilization of Neural Processing Units via Layer-Wise Scheduling (Young H. Oh, Seonghak Kim, Yunho Jin, Sam Son, Jonghyun Bae, Jongsung Lee, Yeonhong Park, Dong Uk Kim, Tae Jun Ham, and Jae W. Lee) #이재욱 교수팀

CryoGuard: A Near Refresh-Free Robust DRAM Design for Cryogenic Computing (Gyuhyeon Lee, Seongmin Na, Ilkwon Byun, Dongmoon Min, and Jangwoo Kim) #김장우 교수팀

ELSA: Hardware-Software Co-design for Efficient, Lightweight Self-Attention Mechanism in Neural Networks (Tae Jun Ham, Yejin Lee, Seong Hoon Seo, Soosung Kim, Hyunji Choi, Sung Jun Jung, and Jae W. Lee) #이재욱 교수팀

BOSS: Bandwidth-Optimized Search Accelerator for Storage-Class Memory (Jun Heo, Seung Yul Lee, Sunhong Min, Yeonhong Park, Sung Jun Jung, Tae Jun Ham, and Jae W. Lee) #이재욱 교수팀

A Fast and Flexible Hardware-based Virtualization Mechanism for Computational Storage Devices (Dongup Kwon, Dongryeong Kim, Junehyuk Boo, Wonsik Lee, and Jangwoo Kim) #김장우 교수팀

ASAP: Fast Mobile Application Switch via Adaptive Prepaging (Sam Son, Seung Yul Lee, Yunho Jin, Jonghyun Bae, Jinkyu Jeong, Tae Jun Ham, Jae W. Lee, and Hongil Yoon) #이재욱 교수팀

Refurbish Your Training Data: Reusing Partially Augmented Samples for Faster Deep Neural Network Training (Gyewon Lee, Irene Lee, Hyeonmin Ha, Kyunggeun Lee, Hwarim Hyun, Ahnjae Shin, Byung-Gon Chun) #전병곤 교수팀

NeuroEngine: A Hardware-Based Event-Driven Simulation System for Advanced Brain-Inspired Computing (Hunjun Lee, Chanmyeong Kim, Yujin Chung, and Jangwoo Kim) #김장우 교수팀

MERCI: Efficient Embedding Reduction on Commodity Hardware via Sub-Query Memoization (Yejin Lee, Seong Hoon Seo, Hyunji Choi, Hyoung Uk Sul, Soosung Kim, Jae W. Lee, and Tae Jun Ham) #이재욱 교수팀

BCD deduplication: effective memory compression using partial cache-line deduplication (Sungbo Park, Ingab Kang, Yaebin Moon, Jung Ho Ahn, G.Edward Suh) #안정호 교수팀

Finding Consensus Bugs in Ethereum via Multi-transaction Differential Fuzzing (Youngseok Yang, Taesoo Kim, Byung-Gon Chun) #전병곤 교수팀

TRiM: Tensor Reduction in Memory (Byeongho Kim, Jaehyun Park, Eojin Lee, Minsoo Rhu, Jung Ho Ahn) #안정호 교수팀

MViD: Sparse Matrix-Vector Multiplication in Mobile DRAM for Accelerating Recurrent Neural Networks (Byeongho Kim, Jongwook Chung, Eojin Lee, Wonkyung Jung, Sunjung Lee, Jaewan Choi, Jaehyun Park, Minbok Wi, Sukhan Lee, Jung Ho Ahn) #안정호 교수팀

CryoCache: A Fast, Large, and Cost-Effective Cache Architecture for Cryogenic Computing (Dongmoon Min, Ilkwon Byun, Gyu-Hyeon Lee, Seongmin Na, and Jangwoo Kim) #김장우 교수팀

IIU: Specialized Architecture for Inverted Index Search (Jun Heo, Jaeyeon Won, Yejin Lee, Shivam Bharuka, Jaeyoung Jang, Tae Jun Ham, and Jae W. Lee) #이재욱 교수팀

Overlapping Host-to-Device Copy and Computation using Hidden Unified Memory (Jaehoon Jung, Daeyoung Park, Youngdong Do, Jungho Park, and Jaejin Lee) #이재진 교수팀