Youngsok Kim

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 48

Top Topics

Convolutional Network

Highly Efficient

Top Venues

Publications

Seongyeon Park, Junguk Hong, Jaeyong Song, Hajin Kim, Youngsok Kim, Jinho Lee
AGAThA: Fast and Efficient GPU Acceleration of Guided Sequence Alignment for Long Read Mapping. PPoPP (2024)
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. HPCA (2024)
Seongyeon Park, Junguk Hong, Jaeyong Song, Hajin Kim, Youngsok Kim, Jinho Lee
AGAThA: Fast and Efficient GPU Acceleration of Guided Sequence Alignment for Long Read Mapping. CoRR (2024)
Shinnung Jeong, Sungjun Cho, Yongwoo Lee, Hyunjun Park, Seonyeong Heo, Gwangsun Kim, Youngsok Kim, Hanjun Kim
CR2: Community-aware Compressed Regular Representation for Graph Processing on a GPU. ICPP (2024)
Kiung Jung, Seok Namkoong, Hongjun Um, Hyejun Kim, Youngsok Kim, Yongjun Park
Orchestrating Multiple Mixed Precision Models on a Shared Precision-Scalable NPU. LCTES (2024)
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. CoRR (2024)
Si Ung Noh, Junguk Hong, Chaemin Lim, Seongyeon Park, Jeehyun Kim, Hanjun Kim, Youngsok Kim, Jinho Lee
PID-Comm: A Fast and Flexible Collective Communication Framework for Commodity Processing-in-DIMM Devices. CoRR (2024)
Seungmin Lee, Youngsok Kim, Dukyun Nam, Jong Kim
Gem5-AVX: Extension of the Gem5 Simulator to Support AVX Instruction Sets. IEEE Access 12 (2024)
Si Ung Noh, Junguk Hong, Chaemin Lim, Seongyeon Park, Jeehyun Kim, Hanjun Kim, Youngsok Kim, Jinho Lee
PID-Comm: A Fast and Flexible Collective Communication Framework for Commodity Processing-in-DIMM Devices. ISCA (2024)
Mingi Yoo, Jaeyong Song, Hyeyoon Lee, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee
Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators. CoRR (2023)
Hongsun Jang, Jaewon Jung, Jaeyong Song, Joonsang Yu, Youngsok Kim, Jinho Lee
Pipe-BD: Pipelined Parallel Blockwise Distillation. CoRR (2023)
Jaeyong Song, Hongsun Jang, Jaewon Jung, Youngsok Kim, Jinho Lee
GraNNDis: Efficient Unified Distributed Training Framework for Deep GNNs on Large Clusters. CoRR (2023)
Mingi Yoo, Jaeyong Song, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee
SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators. CoRR (2023)
Chaemin Lim, Suhyun Lee, Jinwoo Choi, Jounghoo Lee, Seongyeon Park, Hanjun Kim, Jinho Lee, Youngsok Kim
Design and Analysis of a Processing-in-DIMM Join Algorithm: A Case Study with UPMEM DIMMs. Proc. ACM Manag. Data 1 (2) (2023)
Deokki Hong, Kanghyun Choi, Hyeyoon Lee, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee
Enabling Hard Constraints in Differentiable Neural Network and Accelerator Co-Exploration. CoRR (2023)
Seongyeon Park, Hajin Kim, Tanveer Ahmad, Nauman Ahmed, Zaid Al-Ars, H. Peter Hofstee, Youngsok Kim, Jinho Lee
SaLoBa: Maximizing Data Locality and Workload Balance for Fast Sequence Alignment on GPUs. CoRR (2023)
Jaeyong Song, Jinkyu Yim, Jaewon Jung, Hongsun Jang, Hyung-Jin Kim, Youngsok Kim, Jinho Lee
Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware Communication Compression. CoRR (2023)
Hongsun Jang, Jaewon Jung, Jaeyong Song, Joonsang Yu, Youngsok Kim, Jinho Lee
Pipe-BD: Pipelined Parallel Blockwise Distillation. DATE (2023)
Jaewon Kwon, Yongju Lee, Hongju Kal, Minjae Kim, Youngsok Kim, Won Woo Ro
McCore: A Holistic Management of High-Performance Heterogeneous Multicores. MICRO (2023)
Jinwoo Choi, Yeonan Ha, Jounghoo Lee, Sangsu Lee, Jinho Lee, Hanhwi Jang, Youngsok Kim
Enabling Fine-Grained Spatial Multitasking on Systolic-Array NPUs Using Dataflow Mirroring. IEEE Trans. Computers 72 (12) (2023)
Jaeho Lee, Shinnung Jeong, Seungbin Song, Kunwoo Kim, Heelim Choi, Youngsok Kim, Hanjun Kim
Occamy: Memory-efficient GPU Compiler for DNN Inference. DAC (2023)
Jaeyong Song, Jinkyu Yim, Jaewon Jung, Hongsun Jang, Hyung-Jin Kim, Youngsok Kim, Jinho Lee
Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware Communication Compression. ASPLOS (2) (2023)
Mingi Yoo, Jaeyong Song, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee
SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators. HPCA (2023)
Donghyeon Kim, Taehoon Kim, Inyong Hwang, Taehyeong Park, Hanjun Kim, Youngsok Kim, Yongjun Park
Virtual PIM: Resource-Aware Dynamic DPU Allocation and Workload Scheduling Framework for Multi-DPU PIM Architecture. PACT (2023)
Kanghyun Choi, Hyeyoon Lee, Deokki Hong, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee
It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher. CVPR (2022)
Deokki Hong, Kanghyun Choi, Hyeyoon Lee, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee
Enabling hard constraints in differentiable neural network and accelerator co-exploration. DAC (2022)
Seongyeon Park, Hajin Kim, Tanveer Ahmad, Nauman Ahmed, Zaid Al-Ars, H. Peter Hofstee, Youngsok Kim, Jinho Lee
SALoBa: Maximizing Data Locality and Workload Balance for Fast Sequence Alignment on GPUs. IPDPS (2022)
Jounghoo Lee, Yeonan Ha, Suhyun Lee, Jinyoung Woo, Jinho Lee, Hanhwi Jang, Youngsok Kim
GCoM: a detailed GPU core model for accurate analytical modeling of modern GPUs. ISCA (2022)
Jinwoo Choi, Jaeyeon Kim, Chaemin Lim, Suhyun Lee, Jinho Lee, Dokyung Song, Youngsok Kim
GuardiaNN: Fast and Secure On-Device Inference in TrustZone Using Embedded SRAM and Cryptographic Hardware. Middleware (2022)
Shinnung Jeong, Yongwoo Lee, Jaeho Lee, Heelim Choi, Seungbin Song, Jinho Lee, Youngsok Kim, Hanjun Kim
Decoupling Schedule, Topology Layout, and Algorithm to Easily Enlarge the Tuning Space of GPU Graph Processing. PACT (2022)
Mingi Yoo, Jaeyong Song, Hyeyoon Lee, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee
Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators. PACT (2022)
Kanghyun Choi, Hyeyoon Lee, Deokki Hong, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee
It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher. CoRR (2022)
Kanghyun Choi, Deokki Hong, Noseong Park, Youngsok Kim, Jinho Lee
Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples. NeurIPS (2021)
Jounghoo Lee, Jinwoo Choi, Jaeyeon Kim, Jinho Lee, Youngsok Kim
Dataflow Mirroring: Architectural Support for Highly Efficient Fine-Grained Spatial Multitasking on Systolic-Array NPUs. DAC (2021)
Kanghyun Choi, Deokki Hong, Noseong Park, Youngsok Kim, Jinho Lee
Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples. CoRR (2021)
Changsu Kim, Shinnung Jeong, Sungjun Cho, Yongwoo Lee, William Song, Youngsok Kim, Hanjun Kim
Thread-Aware Area-Efficient High-Level Synthesis Compiler for Embedded Devices. CGO (2021)
Kanghyun Choi, Deokki Hong, Hojae Yoon, Joonsang Yu, Youngsok Kim, Jinho Lee
DANCE: Differentiable Accelerator/Network Co-Exploration. DAC (2021)
Mingi Yoo, Jaeyong Song, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee
Making a Better Use of Caches for GCN Accelerators with Feature Slicing and Automatic Tile Morphing. IEEE Comput. Archit. Lett. 20 (2) (2021)
Kanghyun Choi, Deokki Hong, Hojae Yoon, Joonsang Yu, Youngsok Kim, Jinho Lee
DANCE: Differentiable Accelerator/Network Co-Exploration. CoRR (2020)
Seonyeong Heo, Sungjun Cho, Youngsok Kim, Hanjun Kim
Real-Time Object Detection System with Multi-Path Neural Networks. RTAS (2020)
Youngsok Kim, Joonsung Kim, Dongju Chae, Daehyun Kim, Jangwoo Kim
μLayer: Low Latency On-Device Inference Using Cooperative Single-Layer Acceleration and Processor-Friendly Quantization. EuroSys (2019)
Eunjin Baek, Hunjun Lee, Youngsok Kim, Jangwoo Kim
FlexLearn: Fast and Highly Efficient Brain Simulations Using Flexible On-Chip Learning. MICRO (2019)
Dongup Kwon, Jaehyung Ahn, Dongju Chae, Mohammadamin Ajdari, Jaewon Lee, Suheon Bae, Youngsok Kim, Jangwoo Kim
DCS-ctrl: A Fast and Flexible Device-Control Mechanism for Device-Centric Server Architecture. ISCA (2018)
Amirali Boroumand, Saugata Ghose, Youngsok Kim, Rachata Ausavarungnirun, Eric Shiu, Rahul Thakur, Daehyun Kim, Aki Kuusela, Allan Knies, Parthasarathy Ranganathan, Onur Mutlu
Google Workloads for Consumer Devices: Mitigating Data Movement Bottlenecks. ASPLOS (2018)
Dayeol Lee, Gwangmu Lee, Dongup Kwon, Sunghwa Lee, Youngsok Kim, Jangwoo Kim
Flexon: A Flexible Digital Neuron for Efficient Spiking Neural Network Simulations. ISCA (2018)
Youngsok Kim, Jae-Eon Jo, Hanhwi Jang, Minsoo Rhu, Hanjun Kim, Jangwoo Kim
GPUpd: a fast and scalable multi-GPU architecture using cooperative projection and distribution. MICRO (2017)
Hakbeom Jang, Yongjun Lee, Jongwon Kim, Youngsok Kim, Jangwoo Kim, Jinkyu Jeong, Jae W. Lee
Efficient footprint caching for Tagless DRAM Caches. HPCA (2016)
Dongju Chae, Joonsung Kim, Youngsok Kim, Jangwoo Kim, Kyung-Ah Chang, Sang-Bum Suh, Hyogun Lee
CloudSwap: A Cloud-Assisted Swap Mechanism for Mobile Devices. CCGrid (2016)
Jaehyung Ahn, Dongup Kwon, Youngsok Kim, Mohammadamin Ajdari, Jaewon Lee, Jangwoo Kim
DCS: a fast and scalable device-centric server architecture. MICRO (2015)
Sangho Lee, Youngsok Kim, Jangwoo Kim, Jong Kim
Stealing Webpages Rendered on Your Browser by Exploiting GPU Vulnerabilities. IEEE Symposium on Security and Privacy (2014)
Youngsok Kim, Jaewon Lee, Jae-Eon Jo, Jangwoo Kim
GPUdmm: A high-performance and memory-oblivious GPU architecture using dynamic memory management. HPCA (2014)
Youngsok Kim, Jaewon Lee, Donggyu Kim, Jangwoo Kim
ScaleGPU: GPU Architecture for Memory-Unaware GPU Programming. IEEE Comput. Archit. Lett. 13 (2) (2014)