default search action
Youngsok Kim
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j5]Seungmin Lee
, Youngsok Kim
Gem5-AVX: Extension of the Gem5 Simulator to Support AVX Instruction Sets. IEEE Access 12: 20767-20778 (2024) - [c36]Jaeyong Song
GraNNDis: Fast Distributed Graph Neural Network Training Framework for Multi-Server Clusters. PACT 2024: 91-107 - [c35]Jinwoo Choi, Yeonan Ha, Hanna Cha, Seil Lee, Sungchul Lee, Jounghoo Lee, Shinhaeng Kang, Bongjun Kim
MPC-Wrapper: Fully Harnessing the Potential of Samsung Aquabolt-XL HBM2-PIM on FPGAs. FCCM 2024: 162-172 - [c34]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: 345-360 - [c33]Shinnung Jeong
CR2: Community-aware Compressed Regular Representation for Graph Processing on a GPU. ICPP 2024: 544-554 - [c32]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: 245-260 - [c31]Kiung Jung
Orchestrating Multiple Mixed Precision Models on a Shared Precision-Scalable NPU. LCTES 2024: 72-82 - [c30]Seongyeon Park
AGAThA: Fast and Efficient GPU Acceleration of Guided Sequence Alignment for Long Read Mapping. PPoPP 2024: 431-444 - [i13]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 abs/2403.06478 (2024) - [i12]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 abs/2403.06664 (2024) - [i11]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 abs/2404.08871 (2024) - 2023
- [j4]Chaemin Lim
Design and Analysis of a Processing-in-DIMM Join Algorithm: A Case Study with UPMEM DIMMs. Proc. ACM Manag. Data 1(2): 113:1-113:27 (2023) - [j3]Jinwoo Choi
Enabling Fine-Grained Spatial Multitasking on Systolic-Array NPUs Using Dataflow Mirroring. IEEE Trans. Computers 72(12): 3383-3398 (2023) - [c29]Donghyeon Kim
Virtual PIM: Resource-Aware Dynamic DPU Allocation and Workload Scheduling Framework for Multi-DPU PIM Architecture. PACT 2023: 112-123 - [c28]Jaeyong Song
Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware Communication Compression. ASPLOS (2) 2023: 560-573 - [c27]Jaeho Lee
Occamy: Memory-efficient GPU Compiler for DNN Inference. DAC 2023: 1-6 - [c26]Hongsun Jang, Jaewon Jung, Jaeyong Song
Pipe-BD: Pipelined Parallel Blockwise Distillation. DATE 2023: 1-6 - [c25]Mingi Yoo, Jaeyong Song
SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators. HPCA 2023: 1-14 - [c24]Jaewon Kwon
McCore: A Holistic Management of High-Performance Heterogeneous Multicores. MICRO 2023: 1044-1058 - [i10]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 abs/2301.09310 (2023) - [i9]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 abs/2301.09312 (2023) - [i8]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 abs/2301.09813 (2023) - [i7]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 abs/2301.09830 (2023) - [i6]Mingi Yoo, Jaeyong Song, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee
SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators. CoRR abs/2301.10388 (2023) - [i5]Hongsun Jang, Jaewon Jung, Jaeyong Song, Joonsang Yu, Youngsok Kim, Jinho Lee
Pipe-BD: Pipelined Parallel Blockwise Distillation. CoRR abs/2301.12443 (2023) - [i4]Jaeyong Song, Hongsun Jang, Jaewon Jung, Youngsok Kim, Jinho Lee
GraNNDis: Efficient Unified Distributed Training Framework for Deep GNNs on Large Clusters. CoRR abs/2311.06837 (2023) - 2022
- [c23]Mingi Yoo, Jaeyong Song
Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators. PACT 2022: 40-53 - [c22]Shinnung Jeong
Decoupling Schedule, Topology Layout, and Algorithm to Easily Enlarge the Tuning Space of GPU Graph Processing. PACT 2022: 198-210 - [c21]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: 8301-8311 - [c20]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: 589-594 - [c19]Seongyeon Park
SALoBa: Maximizing Data Locality and Workload Balance for Fast Sequence Alignment on GPUs. IPDPS 2022: 728-738 - [c18]Jounghoo Lee, Yeonan Ha, Suhyun Lee, Jinyoung Woo, Jinho Lee
GCoM: a detailed GPU core model for accurate analytical modeling of modern GPUs. ISCA 2022: 424-436 - [c17]Jinwoo Choi, Jaeyeon Kim, Chaemin Lim
GuardiaNN: Fast and Secure On-Device Inference in TrustZone Using Embedded SRAM and Cryptographic Hardware. Middleware 2022: 15-28 - [i3]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 abs/2203.17008 (2022) - 2021
- [j2]Mingi Yoo
Making a Better Use of Caches for GCN Accelerators with Feature Slicing and Automatic Tile Morphing. IEEE Comput. Archit. Lett. 20(2): 102-105 (2021) - [c16]Changsu Kim, Shinnung Jeong
Thread-Aware Area-Efficient High-Level Synthesis Compiler for Embedded Devices. CGO 2021: 327-339 - [c15]Jounghoo Lee, Jinwoo Choi, Jaeyeon Kim, Jinho Lee
Dataflow Mirroring: Architectural Support for Highly Efficient Fine-Grained Spatial Multitasking on Systolic-Array NPUs. DAC 2021: 247-252 - [c14]Kanghyun Choi, Deokki Hong, Hojae Yoon, Joonsang Yu, Youngsok Kim
DANCE: Differentiable Accelerator/Network Co-Exploration. DAC 2021: 337-342 - [c13]Kanghyun Choi, Deokki Hong, Noseong Park, Youngsok Kim, Jinho Lee:
Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples. NeurIPS 2021: 14835-14847 - [i2]Kanghyun Choi, Deokki Hong, Noseong Park, Youngsok Kim, Jinho Lee:
Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples. CoRR abs/2111.02625 (2021) - 2020
- [c12]Seonyeong Heo
Real-Time Object Detection System with Multi-Path Neural Networks. RTAS 2020: 174-187 - [i1]Kanghyun Choi, Deokki Hong, Hojae Yoon, Joonsang Yu, Youngsok Kim, Jinho Lee:
DANCE: Differentiable Accelerator/Network Co-Exploration. CoRR abs/2009.06237 (2020)
2010 – 2019
- 2019
- [c11]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: 45:1-45:15 - [c10]Eunjin Baek, Hunjun Lee, Youngsok Kim
FlexLearn: Fast and Highly Efficient Brain Simulations Using Flexible On-Chip Learning. MICRO 2019: 304-318 - 2018
- [c9]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: 316-331 - [c8]Dayeol Lee, Gwangmu Lee, Dongup Kwon, Sunghwa Lee, Youngsok Kim
Flexon: A Flexible Digital Neuron for Efficient Spiking Neural Network Simulations. ISCA 2018: 275-288 - [c7]Dongup Kwon, Jaehyung Ahn, Dongju Chae, Mohammadamin Ajdari, Jaewon Lee, Suheon Bae, Youngsok Kim
DCS-ctrl: A Fast and Flexible Device-Control Mechanism for Device-Centric Server Architecture. ISCA 2018: 491-504 - 2017
- [c6]Youngsok Kim
GPUpd: a fast and scalable multi-GPU architecture using cooperative projection and distribution. MICRO 2017: 574-586 - 2016
- [c5]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: 462-472 - [c4]Hakbeom Jang, Yongjun Lee, Jongwon Kim, Youngsok Kim
Efficient footprint caching for Tagless DRAM Caches. HPCA 2016: 237-248 - 2015
- [c3]Jaehyung Ahn, Dongup Kwon, Youngsok Kim
DCS: a fast and scalable device-centric server architecture. MICRO 2015: 559-571 - 2014
- [j1]Youngsok Kim
ScaleGPU: GPU Architecture for Memory-Unaware GPU Programming. IEEE Comput. Archit. Lett. 13(2): 101-104 (2014) - [c2]Youngsok Kim
GPUdmm: A high-performance and memory-oblivious GPU architecture using dynamic memory management. HPCA 2014: 546-557 - [c1]Sangho Lee, Youngsok Kim
Stealing Webpages Rendered on Your Browser by Exploiting GPU Vulnerabilities. IEEE Symposium on Security and Privacy 2014: 19-33
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-23 20:34 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: