Youngsok Kim

66 papers A* 24A 7B 9Misc 1Journal 24Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
DANCE++: Differentiable Accelerator/Network Co-Exploration With Hard Constraints and Data-Free Training for Real-World Scenarios.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Kanghyun Choi, Deokki Hong, Hyeyoon Lee, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee
2026 J jnl
DFLOP: A Data-driven Framework for Multimodal LLM Training Pipeline Optimization.
CoRR
Hyeonjun An, Sihyun Kim, Chaerim Lim, Hyunjoon Kim, Rathijit Sen, Sangmin Jung, Hyeonsoo Lee, Dongwook Kim, Takki Yu, Jinkyu Jeong, Youngsok Kim, Kwanghyun Park
2026 A* conf
LoCaLUT: Harnessing Capacity-Computation Tradeoffs for LUT-Based Inference in DRAM-PIM.
HPCA
Junguk Hong, Changmin Shin, Sukjin Kim, Si Ung Noh, Taehee Kwon, Seongyeon Park, Hanjun Kim, Youngsok Kim, Jinho Lee
2026 J jnl
Peak-memory-aware partitioning and scheduling for multi-tenant DNN model inference.
J. Syst. Archit.
Jaeho Lee, Ju Min Lee, Haeeun Jeong, Hyunho Kwon, Youngsok Kim, Yongjun Park, Hanjun Kim
2026 A* conf
SMTcheck: Accurate SMT Interference Prediction to Improve Scheduling Efficiency in Datacenters.
HPCA
Sanghyun Kim, Jinhyeok Oh, Taehun Kim, Gyutae Kim, Youngsok Kim, Jaehyun Hwang, Joonsung Kim
2025 B conf
DMO-DB: Mitigating the Data Movement Bottlenecks of GPU-Accelerated Relational OLAP.
PACT
Chaemin Lim, Suhyun Lee, Jinwoo Choi, Joonsung Kim, Jinho Lee, Youngsok Kim
2025 A* conf
GCStack+GCScaler: Fast and Accurate GPU Performance Analyses Using Fine-Grained Stall Cycle Accounting and Interval Analysis.
ISCA
Hanna Cha, Sungchul Lee, Jounghoo Lee, Yeonan Ha, Joonsung Kim, Youngsok Kim
2025 J jnl
IntervalSim++: Enhanced Interval Simulation for Unbalanced Processor Designs.
IEEE Comput. Archit. Lett.
Haseung Bong, Nahyeon Kang, Youngsok Kim, Joonsung Kim, Hanhwi Jang
2025 A* conf
LATPC: Accelerating GPU Address Translation Using Locality-Aware TLB Prefetching and MSHR Compression.
MICRO
Yeonan Ha, Jiho Park, Hanna Cha, Jiwon Lee, Joonsung Kim, Won Woo Ro, Youngsok Kim
2025 A conf
PIM-CARE: A Compiler-Assisted Dynamic Resource Allocation Framework for Real-world DRAM PIM.
ICS
Inyong Hwang, Donghyeon Kim, Seokwon Kang, Taehyeong Park, Taehoon Kim, Jiwon Seo, Hanjun Kim, Youngsok Kim, Yongjun Park
2024 B conf
AGAThA: Fast and Efficient GPU Acceleration of Guided Sequence Alignment for Long Read Mapping.
PPoPP
Seongyeon Park, Junguk Hong, Jaeyong Song, Hajin Kim, Youngsok Kim, Jinho Lee
2024 J jnl
AGAThA: Fast and Efficient GPU Acceleration of Guided Sequence Alignment for Long Read Mapping.
CoRR
Seongyeon Park, Junguk Hong, Jaeyong Song, Hajin Kim, Youngsok Kim, Jinho Lee
2024 B conf
CR2: Community-aware Compressed Regular Representation for Graph Processing on a GPU.
ICPP
Shinnung Jeong, Sungjun Cho, Yongwoo Lee, Hyunjun Park, Seonyeong Heo, Gwangsun Kim, Youngsok Kim, Hanjun Kim
2024 J jnl
GCStack: A GPU Cycle Accounting Mechanism for Providing Accurate Insight Into GPU Performance.
IEEE Comput. Archit. Lett.
Hanna Cha, Sungchul Lee, Yeonan Ha, Hanhwi Jang, Joonsung Kim, Youngsok Kim
2024 J jnl
Gem5-AVX: Extension of the Gem5 Simulator to Support AVX Instruction Sets.
IEEE Access
Seungmin Lee, Youngsok Kim, Dukyun Nam, Jong Kim
2024 B conf
GraNNDis: Fast Distributed Graph Neural Network Training Framework for Multi-Server Clusters.
PACT
Jaeyong Song, Hongsun Jang, Hunseong Lim, Jaewon Jung, Youngsok Kim, Jinho Lee
2024 Misc conf
MPC-Wrapper: Fully Harnessing the Potential of Samsung Aquabolt-XL HBM2-PIM on FPGAs.
FCCM
Jinwoo Choi, Yeonan Ha, Hanna Cha, Seil Lee, Sungchul Lee, Jounghoo Lee, Shinhaeng Kang, Bongjun Kim, Hanwoong Jung, Hanjun Kim, Youngsok Kim
2024 B conf
Orchestrating Multiple Mixed Precision Models on a Shared Precision-Scalable NPU.
LCTES
Kiung Jung, Seok Namkoong, Hongjun Um, Hyejun Kim, Youngsok Kim, Yongjun Park
2024 A* conf
PID-Comm: A Fast and Flexible Collective Communication Framework for Commodity Processing-in-DIMM Devices.
ISCA
Si Ung Noh, Junguk Hong, Chaemin Lim, Seongyeon Park, Jeehyun Kim, Hanjun Kim, Youngsok Kim, Jinho Lee
2024 J jnl
PID-Comm: A Fast and Flexible Collective Communication Framework for Commodity Processing-in-DIMM Devices.
CoRR
Si Ung Noh, Junguk Hong, Chaemin Lim, Seongyeon Park, Jeehyun Kim, Hanjun Kim, Youngsok Kim, Jinho Lee
2024 J jnl
SPID-Join: A Skew-resistant Processing-in-DIMM Join Algorithm Exploiting the Bank- and Rank-level Parallelisms of DIMMs.
Proc. ACM Manag. Data
Suhyun Lee, Chaemin Lim, Jinwoo Choi, Heelim Choi, Chan Lee, Yongjun Park, Kwanghyun Park, Hanjun Kim, Youngsok Kim
2024 A* conf
Smart-Infinity: Fast Large Language Model Training using Near-Storage Processing on a Real System.
HPCA
Hongsun Jang, Jaeyong Song, Jaewon Jung, Jaeyoung Park, Youngsok Kim, Jinho Lee
2024 J jnl
Smart-Infinity: Fast Large Language Model Training using Near-Storage Processing on a Real System.
CoRR
Hongsun Jang, Jaeyong Song, Jaewon Jung, Jaeyoung Park, Youngsok Kim, Jinho Lee
2023 J jnl
Design and Analysis of a Processing-in-DIMM Join Algorithm: A Case Study with UPMEM DIMMs.
Proc. ACM Manag. Data
Chaemin Lim, Suhyun Lee, Jinwoo Choi, Jounghoo Lee, Seongyeon Park, Hanjun Kim, Jinho Lee, Youngsok Kim
2023 J jnl
Enabling Fine-Grained Spatial Multitasking on Systolic-Array NPUs Using Dataflow Mirroring.
IEEE Trans. Computers
Jinwoo Choi, Yeonan Ha, Jounghoo Lee, Sangsu Lee, Jinho Lee, Hanhwi Jang, Youngsok Kim
2023 J jnl
Enabling Hard Constraints in Differentiable Neural Network and Accelerator Co-Exploration.
CoRR
Deokki Hong, Kanghyun Choi, Hyeyoon Lee, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee
2023 J jnl
GraNNDis: Efficient Unified Distributed Training Framework for Deep GNNs on Large Clusters.
CoRR
Jaeyong Song, Hongsun Jang, Jaewon Jung, Youngsok Kim, Jinho Lee
2023 A* conf
McCore: A Holistic Management of High-Performance Heterogeneous Multicores.
MICRO
Jaewon Kwon, Yongju Lee, Hongju Kal, Minjae Kim, Youngsok Kim, Won Woo Ro
2023 A* conf
Occamy: Memory-efficient GPU Compiler for DNN Inference.
DAC
Jaeho Lee, Shinnung Jeong, Seungbin Song, Kunwoo Kim, Heelim Choi, Youngsok Kim, Hanjun Kim
2023 — conf
Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware Communication Compression.
ASPLOS (2)
Jaeyong Song, Jinkyu Yim, Jaewon Jung, Hongsun Jang, Hyung-Jin Kim, Youngsok Kim, Jinho Lee
2023 J jnl
Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware Communication Compression.
CoRR
Jaeyong Song, Jinkyu Yim, Jaewon Jung, Hongsun Jang, Hyung-Jin Kim, Youngsok Kim, Jinho Lee
2023 A conf
Pipe-BD: Pipelined Parallel Blockwise Distillation.
DATE
Hongsun Jang, Jaewon Jung, Jaeyong Song, Joonsang Yu, Youngsok Kim, Jinho Lee
2023 J jnl
Pipe-BD: Pipelined Parallel Blockwise Distillation.
CoRR
Hongsun Jang, Jaewon Jung, Jaeyong Song, Joonsang Yu, Youngsok Kim, Jinho Lee
2023 A* conf
SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators.
HPCA
Mingi Yoo, Jaeyong Song, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee
2023 J jnl
SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators.
CoRR
Mingi Yoo, Jaeyong Song, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee
2023 J jnl
SaLoBa: Maximizing Data Locality and Workload Balance for Fast Sequence Alignment on GPUs.
CoRR
Seongyeon Park, Hajin Kim, Tanveer Ahmad, Nauman Ahmed, Zaid Al-Ars, H. Peter Hofstee, Youngsok Kim, Jinho Lee
2023 J jnl
Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators.
CoRR
Mingi Yoo, Jaeyong Song, Hyeyoon Lee, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee
2023 B conf
Virtual PIM: Resource-Aware Dynamic DPU Allocation and Workload Scheduling Framework for Multi-DPU PIM Architecture.
PACT
Donghyeon Kim, Taehoon Kim, Inyong Hwang, Taehyeong Park, Hanjun Kim, Youngsok Kim, Yongjun Park
2022 B conf
Decoupling Schedule, Topology Layout, and Algorithm to Easily Enlarge the Tuning Space of GPU Graph Processing.
PACT
Shinnung Jeong, Yongwoo Lee, Jaeho Lee, Heelim Choi, Seungbin Song, Jinho Lee, Youngsok Kim, Hanjun Kim
2022 A* conf
Enabling hard constraints in differentiable neural network and accelerator co-exploration.
DAC
Deokki Hong, Kanghyun Choi, Hyeyoon Lee, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee
2022 A* conf
GCoM: a detailed GPU core model for accurate analytical modeling of modern GPUs.
ISCA
Jounghoo Lee, Yeonan Ha, Suhyun Lee, Jinyoung Woo, Jinho Lee, Hanhwi Jang, Youngsok Kim
2022 A conf
GuardiaNN: Fast and Secure On-Device Inference in TrustZone Using Embedded SRAM and Cryptographic Hardware.
Middleware
Jinwoo Choi, Jaeyeon Kim, Chaemin Lim, Suhyun Lee, Jinho Lee, Dokyung Song, Youngsok Kim
2022 A* conf
It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher.
CVPR
Kanghyun Choi, Hyeyoon Lee, Deokki Hong, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee
2022 J jnl
It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher.
CoRR
Kanghyun Choi, Hyeyoon Lee, Deokki Hong, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee
2022 A conf
SALoBa: Maximizing Data Locality and Workload Balance for Fast Sequence Alignment on GPUs.
IPDPS
Seongyeon Park, Hajin Kim, Tanveer Ahmad, Nauman Ahmed, Zaid Al-Ars, H. Peter Hofstee, Youngsok Kim, Jinho Lee
2022 B conf
Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators.
PACT
Mingi Yoo, Jaeyong Song, Hyeyoon Lee, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee
2021 A* conf
DANCE: Differentiable Accelerator/Network Co-Exploration.
DAC
Kanghyun Choi, Deokki Hong, Hojae Yoon, Joonsang Yu, Youngsok Kim, Jinho Lee
2021 A* conf
Dataflow Mirroring: Architectural Support for Highly Efficient Fine-Grained Spatial Multitasking on Systolic-Array NPUs.
DAC
Jounghoo Lee, Jinwoo Choi, Jaeyeon Kim, Jinho Lee, Youngsok Kim
2021 J jnl
Making a Better Use of Caches for GCN Accelerators with Feature Slicing and Automatic Tile Morphing.
IEEE Comput. Archit. Lett.
Mingi Yoo, Jaeyong Song, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee
2021 A* conf
Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples.
NeurIPS
Kanghyun Choi, Deokki Hong, Noseong Park, Youngsok Kim, Jinho Lee
2021 J jnl
Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples.
CoRR
Kanghyun Choi, Deokki Hong, Noseong Park, Youngsok Kim, Jinho Lee
2021 A conf
Thread-Aware Area-Efficient High-Level Synthesis Compiler for Embedded Devices.
CGO
Changsu Kim, Shinnung Jeong, Sungjun Cho, Yongwoo Lee, William Song, Youngsok Kim, Hanjun Kim
2020 J jnl
DANCE: Differentiable Accelerator/Network Co-Exploration.
CoRR
Kanghyun Choi, Deokki Hong, Hojae Yoon, Joonsang Yu, Youngsok Kim, Jinho Lee
2020 A conf
Real-Time Object Detection System with Multi-Path Neural Networks.
RTAS
Seonyeong Heo, Sungjun Cho, Youngsok Kim, Hanjun Kim
2019 A* conf
FlexLearn: Fast and Highly Efficient Brain Simulations Using Flexible On-Chip Learning.
MICRO
Eunjin Baek, Hunjun Lee, Youngsok Kim, Jangwoo Kim
2019 A conf
μLayer: Low Latency On-Device Inference Using Cooperative Single-Layer Acceleration and Processor-Friendly Quantization.
EuroSys
Youngsok Kim, Joonsung Kim, Dongju Chae, Daehyun Kim, Jangwoo Kim
2018 A* conf
DCS-ctrl: A Fast and Flexible Device-Control Mechanism for Device-Centric Server Architecture.
ISCA
Dongup Kwon, Jaehyung Ahn, Dongju Chae, Mohammadamin Ajdari, Jaewon Lee, Suheon Bae, Youngsok Kim, Jangwoo Kim
2018 A* conf
Flexon: A Flexible Digital Neuron for Efficient Spiking Neural Network Simulations.
ISCA
Dayeol Lee, Gwangmu Lee, Dongup Kwon, Sunghwa Lee, Youngsok Kim, Jangwoo Kim
2018 A* conf
Google Workloads for Consumer Devices: Mitigating Data Movement Bottlenecks.
ASPLOS
Amirali Boroumand, Saugata Ghose, Youngsok Kim, Rachata Ausavarungnirun, Eric Shiu, Rahul Thakur, Daehyun Kim, Aki Kuusela, Allan Knies, Parthasarathy Ranganathan, Onur Mutlu
2017 A* conf
GPUpd: a fast and scalable multi-GPU architecture using cooperative projection and distribution.
MICRO
Youngsok Kim, Jae-Eon Jo, Hanhwi Jang, Minsoo Rhu, Hanjun Kim, Jangwoo Kim
2016 B conf
CloudSwap: A Cloud-Assisted Swap Mechanism for Mobile Devices.
CCGrid
Dongju Chae, Joonsung Kim, Youngsok Kim, Jangwoo Kim, Kyung-Ah Chang, Sang-Bum Suh, Hyogun Lee
2016 A* conf
Efficient footprint caching for Tagless DRAM Caches.
HPCA
Hakbeom Jang, Yongjun Lee, Jongwon Kim, Youngsok Kim, Jangwoo Kim, Jinkyu Jeong, Jae W. Lee
2015 A* conf
DCS: a fast and scalable device-centric server architecture.
MICRO
Jaehyung Ahn, Dongup Kwon, Youngsok Kim, Mohammadamin Ajdari, Jaewon Lee, Jangwoo Kim
2014 A* conf
GPUdmm: A high-performance and memory-oblivious GPU architecture using dynamic memory management.
HPCA
Youngsok Kim, Jaewon Lee, Jae-Eon Jo, Jangwoo Kim
2014 J jnl
ScaleGPU: GPU Architecture for Memory-Unaware GPU Programming.
IEEE Comput. Archit. Lett.
Youngsok Kim, Jaewon Lee, Donggyu Kim, Jangwoo Kim
2014 A* conf
Stealing Webpages Rendered on Your Browser by Exploiting GPU Vulnerabilities.
IEEE Symposium on Security and Privacy
Sangho Lee, Youngsok Kim, Jangwoo Kim, Jong Kim