Jaewoong Sim

41 papers A* 13A 4B 7Misc 1Journal 14Unranked 2
YearRankTypeTitle / Venue / Authors
2026 A* conf
GRTX: Efficient Ray Tracing for 3D Gaussian-Based Rendering.
HPCA
Junseo Lee, Sangyun Jeon, Jungi Lee, Junyong Park, Jaewoong Sim
2026 J jnl
GRTX: Efficient Ray Tracing for 3D Gaussian-Based Rendering.
CoRR
Junseo Lee, Sangyun Jeon, Jungi Lee, Junyong Park, Jaewoong Sim
2025 A* conf
MX+: Pushing the Limits of Microscaling Formats for Efficient Large Language Model Serving.
MICRO
Jungi Lee, Junyong Park, Soohyun Cha, Jaehoon Cho, Jaewoong Sim
2025 J jnl
MX+: Pushing the Limits of Microscaling Formats for Efficient Large Language Model Serving.
CoRR
Jungi Lee, Junyong Park, Soohyun Cha, Jaehoon Cho, Jaewoong Sim
2025 A* conf
VR-Pipe: Streamlining Hardware Graphics Pipeline for Volume Rendering.
HPCA
Junseo Lee, Jaisung Kim, Junyong Park, Jaewoong Sim
2025 J jnl
VR-Pipe: Streamlining Hardware Graphics Pipeline for Volume Rendering.
CoRR
Junseo Lee, Jaisung Kim, Junyong Park, Jaewoong Sim
2024 J jnl
CuPBoP: Making CUDA a Portable Language.
ACM Trans. Design Autom. Electr. Syst.
Ruobing Han, Jun Chen, Bhanu Garg, Xule Zhou, John Lu, Jeffrey Young, Jaewoong Sim, Hyesoon Kim
2024 — conf
GSCore: Efficient Radiance Field Rendering via Architectural Support for 3D Gaussian Splatting.
ASPLOS (3)
Junseo Lee, Seokwon Lee, Jungi Lee, Junyong Park, Jaewoong Sim
2024 A* conf
InfiniGen: Efficient Generative Inference of Large Language Models with Dynamic KV Cache Management.
OSDI
Wonbeom Lee, Jungi Lee, Junghwan Seo, Jaewoong Sim
2024 J jnl
InfiniGen: Efficient Generative Inference of Large Language Models with Dynamic KV Cache Management.
CoRR
Wonbeom Lee, Jungi Lee, Junghwan Seo, Jaewoong Sim
2024 A* conf
MoNDE: Mixture of Near-Data Experts for Large-Scale Sparse Models.
DAC
Taehyun Kim, Kwanseok Choi, Youngmock Cho, Jaehoon Cho, Hyuk-Jae Lee, Jaewoong Sim
2024 J jnl
MoNDE: Mixture of Near-Data Experts for Large-Scale Sparse Models.
CoRR
Taehyun Kim, Kwanseok Choi, Youngmock Cho, Jaehoon Cho, Hyuk-Jae Lee, Jaewoong Sim
2024 A* conf
Tender: Accelerating Large Language Models via Tensor Decomposition and Runtime Requantization.
ISCA
Jungi Lee, Wonbeom Lee, Jaewoong Sim
2024 J jnl
Tender: Accelerating Large Language Models via Tensor Decomposition and Runtime Requantization.
CoRR
Jungi Lee, Wonbeom Lee, Jaewoong Sim
2023 B conf
CuPBoP: A Framework to Make CUDA Portable.
PPoPP
Ruobing Han, Jun Chen, Bhanu Garg, Jeffrey Young, Jaewoong Sim, Hyesoon Kim
2023 A* conf
NeuRex: A Case for Neural Rendering Acceleration.
ISCA
Junseo Lee, Kwanseok Choi, Jungi Lee, Seokwon Lee, Joonho Whangbo, Jaewoong Sim
2023 B conf
SDM: Sharing-Enabled Disaggregated Memory System with Cache Coherent Compute Express Link.
PACT
Hyokeun Lee, Kwanseok Choi, Hyuk-Jae Lee, Jaewoong Sim
2022 J jnl
COX : Exposing CUDA Warp-level Functions to CPUs.
ACM Trans. Archit. Code Optim.
Ruobing Han, Jaewon Lee, Jaewoong Sim, Hyesoon Kim
2022 J jnl
CuPBoP: CUDA for Parallelized and Broad-range Processors.
CoRR
Ruobing Han, Jun Chen, Bhanu Garg, Jeffrey Young, Jaewoong Sim, Hyesoon Kim
2021 J jnl
COX: CUDA on X86 by Exposing Warp-Level Functions to CPUs.
CoRR
Ruobing Han, Jaewon Lee, Jaewoong Sim, Hyesoon Kim
2021 J jnl
Specializing FGPU for Persistent Deep Learning.
ACM Trans. Reconfigurable Technol. Syst.
Rui Ma, Jia-Ching Hsu, Tian Tan, Eriko Nurvitadhi, David Sheffield, Rob Pelt, Martin Langhammer, Jaewoong Sim, Aravind Dasu, Derek Chiou
2021 J jnl
Supporting CUDA for an extended RISC-V GPU architecture.
CoRR
Ruobing Han, Blaise Tine, Jaewon Lee, Jaewoong Sim, Hyesoon Kim
2020 A* conf
Batch-Aware Unified Memory Management in GPUs for Irregular Workloads.
ASPLOS
Hyojong Kim, Jaewoong Sim, Prasun Gera, Ramyad Hadidi, Hyesoon Kim
2019 A conf
Evaluating and Enhancing Intel® Stratix® 10 FPGAs for Persistent Real-Time AI.
FPGA
Eriko Nurvitadhi, Dongup Kwon, Ali Jafari, Andrew Boutros, Jaewoong Sim, Phillip Tomson, Huseyin Sumbul, Gregory K. Chen, Phil C. Knag, Raghavan Kumar, Ram Krishnamurthy, Debbie Marr, Sergey Gribok, Bogdan Pasca, Martin Langhammer, Aravind Dasu
2019 B conf
Specializing FGPU for Persistent Deep Learning.
FPL
Rui Ma, Derek Chiou, Jia-Ching Hsu, Tian Tan, Eriko Nurvitadhi, David Sheffield, Rob Pelt, Martin Langhammer, Jaewoong Sim, Aravind Dasu
2019 J jnl
Thermal-aware processing-in-memory instruction offloading.
J. Parallel Distributed Comput.
Lifeng Nai, Ramyad Hadidi, He Xiao, Hyojong Kim, Jaewoong Sim, Hyesoon Kim
2019 Misc conf
Why Compete When You Can Work Together: FPGA-ASIC Integration for Persistent RNNs.
FCCM
Eriko Nurvitadhi, Dongup Kwon, Ali Jafari, Andrew Boutros, Jaewoong Sim, Phillip Tomson, Huseyin Sumbul, Gregory K. Chen, Phil C. Knag, Raghavan Kumar, Ram Krishnamurthy, Sergey Gribok, Bogdan Pasca, Martin Langhammer, Debbie Marr, Aravind Dasu
2018 A conf
A Customizable Matrix Multiplication Framework for the Intel HARPv2 Xeon+FPGA Platform: A Deep Learning Case Study.
FPGA
Duncan J. M. Moss, Krishnan Srivatsan, Eriko Nurvitadhi, Piotr Ratuszniak, Chris Johnson, Jaewoong Sim, Asit K. Mishra, Debbie Marr, Suchit Subhaschandra, Philip Heng Wai Leong
2018 A conf
CoolPIM: Thermal-Aware Source Throttling for Efficient PIM Instruction Offloading.
IPDPS
Lifeng Nai, Ramyad Hadidi, He Xiao, Hyojong Kim, Jaewoong Sim, Hyesoon Kim
2017 A conf
Can FPGAs Beat GPUs in Accelerating Next-Generation Deep Neural Networks?
FPGA
Eriko Nurvitadhi, Ganesh Venkatesh, Jaewoong Sim, Debbie Marr, Randy Huang, Jason Ong Gee Hock, Yeong Tat Liew, Krishnan Srivatsan, Duncan J. M. Moss, Suchit Subhaschandra, Guy Boudoukh
2017 A* conf
GraphPIM: Enabling Instruction-Level PIM Offloading in Graph Computing Frameworks.
HPCA
Lifeng Nai, Ramyad Hadidi, Jaewoong Sim, Hyojong Kim, Pranith Kumar, Hyesoon Kim
2017 B conf
High performance binary neural networks on the Xeon+FPGA™ platform.
FPL
Duncan J. M. Moss, Eriko Nurvitadhi, Jaewoong Sim, Asit K. Mishra, Debbie Marr, Suchit Subhaschandra, Philip Heng Wai Leong
2016 — conf
Accelerating Binarized Neural Networks: Comparison of FPGA, CPU, GPU, and ASIC.
FPT
Eriko Nurvitadhi, David Sheffield, Jaewoong Sim, Asit K. Mishra, Ganesh Venkatesh, Debbie Marr
2016 B conf
Accelerating recurrent neural networks in analytics servers: Comparison of FPGA, CPU, GPU, and ASIC.
FPL
Eriko Nurvitadhi, Jaewoong Sim, David Sheffield, Asit K. Mishra, Krishnan Srivatsan, Debbie Marr
2015 B conf
BSSync: Processing Near Memory for Machine Learning Workloads with Bounded Staleness Consistency Models.
PACT
Joo Hwan Lee, Jaewoong Sim, Hyesoon Kim
2014 J jnl
A Configurable and Strong RAS Solution for Die-Stacked DRAM Caches.
IEEE Micro
Jaewoong Sim, Gabriel H. Loh, Vilas Sridharan, Mike O'Connor
2014 A* conf
Transparent Hardware Management of Stacked DRAM as Part of Memory.
MICRO
Jaewoong Sim, Alaa R. Alameldeen, Zeshan Chishti, Chris Wilkerson, Hyesoon Kim
2013 A* conf
Resilient die-stacked DRAM caches.
ISCA
Jaewoong Sim, Gabriel H. Loh, Vilas Sridharan, Mike O'Connor
2012 A* conf
A Mostly-Clean DRAM Cache for Effective Hit Speculation and Self-Balancing Dispatch.
MICRO
Jaewoong Sim, Gabriel H. Loh, Hyesoon Kim, Mike O'Connor, Mithuna Thottethodi
2012 B conf
A performance analysis framework for identifying potential benefits in GPGPU applications.
PPoPP
Jaewoong Sim, Aniruddha Dasgupta, Hyesoon Kim, Richard W. Vuduc
2012 A* conf
FLEXclusion: Balancing cache capacity and on-chip bandwidth via Flexible Exclusion.
ISCA
Jaewoong Sim, Jaekyu Lee, Moinuddin K. Qureshi, Hyesoon Kim