Hyesoon Kim

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 102

Top Venues

Publications

Gaurav Tarlok Kakkar, Jiashen Cao, Aubhro Sengupta, Joy Arulraj, Hyesoon Kim
Hydro: Adaptive Query Processing of ML Queries. CoRR (2024)
Ruobing Han, Hyesoon Kim
Exponentially Expanding the Phase-Ordering Search Space via Dormant Information. CC (2024)
Ruobing Han, Jisheng Zhao, Hyesoon Kim
Enabling Fine-Grained Incremental Builds by Making Compiler Stateful. CGO (2024)
Yuan Feng, Seonjin Na, Hyesoon Kim, Hyeran Jeon
Barre Chord: Efficient Virtual Memory Translation for Multi-Chip-Module GPUs. ISCA (2024)
Chihyo Ahn, Shinnung Jeong, Liam Paul Cooper, Nicholas Parnenzini, Hyesoon Kim
Comparative Analysis of Executing GPU Applications on FPGA: HLS vs. Soft GPU Approaches. IPDPS (Workshops) (2024)
Prasun Gera, Hyesoon Kim
Traversing Large Compressed Graphs on GPUs. IPDPS (2023)
Ramyad Hadidi, Jiashen Cao, Bahar Asgari, Hyesoon Kim
Creating Robust Deep Neural Networks with Coded Distributed Computing for IoT. EDGE (2023)
Jiashen Cao, Rathijit Sen, Matteo Interlandi, Joy Arulraj, Hyesoon Kim
GPU Database Systems Characterization and Optimization. Proc. VLDB Endow. 17 (3) (2023)
Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim
Reducing Inference Latency with Concurrent Architectures for Image Recognition at Edge. EDGE (2023)
Anurag Kar, Xueyang Liu, Yonghae Kim, Gururaj Saileshwar, Hyesoon Kim, Tushar Krishna
Mitigating Timing-Based NoC Side-Channel Attacks With LLC Remapping. IEEE Comput. Archit. Lett. 22 (1) (2023)
Geonhwa Jeong, Sana Damani, Abhimanyu Rajeshkumar Bambhaniya, Eric Qin, Christopher J. Hughes, Sreenivas Subramoney, Hyesoon Kim, Tushar Krishna
VEGETA: Vertically-Integrated Extensions for Sparse/Dense GEMM Tile Acceleration on CPUs. HPCA (2023)
Dheeraj Ramchandani, Bahar Asgari, Hyesoon Kim
Spica: Exploring FPGA Optimizations to Enable an Efficient SpMV Implementation for Computations at Edge. EDGE (2023)
Geonhwa Jeong, Sana Damani, Abhimanyu Rajeshkumar Bambhaniya, Eric Qin, Christopher J. Hughes, Sreenivas Subramoney, Hyesoon Kim, Tushar Krishna
VEGETA: Vertically-Integrated Extensions for Sparse/Dense GEMM Tile Acceleration on CPUs. CoRR (2023)
Euna Kim, Andrei Bersatti, Hyesoon Kim
Extending the Life of Old Systems with More Memory. MEMSYS (2023)
Jun Chen, Xule Zhou, Hyesoon Kim
CuPBoP-AMD: Extending CUDA to AMD Platforms. SC Workshops (2023)
Blaise Tine, Varun Saxena, Santosh Srivatsan, Joshua R. Simpson, Fadi Alzammar, Liam Cooper, Hyesoon Kim
Skybox: Open-Source Graphic Rendering on Programmable RISC-V GPUs. ASPLOS (3) (2023)
Jiashen Cao, Rathijit Sen, Matteo Interlandi, Joy Arulraj, Hyesoon Kim
Revisiting Query Performance in GPU Database Systems. CoRR (2023)
Abhilash Dharmavarapu, Stefano Petrangeli, Jiashen Cao, Hyesoon Kim
EHT-SR: An Entropy-Based Hybrid Approach for Faster Super-Resolution. ISM (2023)
Yonghae Kim, Anurag Kar, Jaewon Lee, Jaekyu Lee, Hyesoon Kim
Hardware-Assisted Code-Pointer Tagging for Forward-Edge Control-Flow Integrity. IEEE Comput. Archit. Lett. 22 (2) (2023)
Sri Ranganathan Palaniappan, Varun Pateel, Sam Jijina, Jeffrey Young, Hyesoon Kim
Unified Co-Simulation Framework for Autonomous UAVs. PEARC (2023)
Yonghae Kim, Anurag Kar, Jaewon Lee, Jaekyu Lee, Hyesoon Kim
RV-CURE: A RISC-V Capability Architecture for Full Memory Safety. CoRR (2023)
Ruobing Han, Jun Chen, Bhanu Garg, Jeffrey Young, Jaewoong Sim, Hyesoon Kim
CuPBoP: A Framework to Make CUDA Portable. PPoPP (2023)
Ramyad Hadidi, Nima Shoghi Ghaleshahi, Bahar Asgari, Hyesoon Kim
Context-Aware Task Handling in Resource-Constrained Robots with Virtualization. EDGE (2023)
Jaewon Lee, Yonghae Kim, Jiashen Cao, Euna Kim, Jaekyu Lee, Hyesoon Kim
Securing GPU via region-based bounds checking. ISCA (2022)
Blaise Tine, Varun Saxena, Santosh Srivatsan, Joshua R. Simpson, Fadi Alzammar, Liam Paul Cooper, Sam Jijina, Swetha Rajagoplan, Tejaswini Anand Kumar, Jeff Young, Hyesoon Kim
Accelerating Graphic Rendering on Programmable RISC-V GPUs. HCS (2022)
Jiashen Cao, Karan Sarkar, Ramyad Hadidi, Joy Arulraj, Hyesoon Kim
FiGO: Fine-Grained Query Optimization in Video Analytics. SIGMOD Conference (2022)
Bahar Asgari, Dheeraj Ramchandani, Amaan Marfatia, Hyesoon Kim
Maia: Matrix Inversion Acceleration Near Memory. FPL (2022)
Ruobing Han, Jaewon Lee, Jaewoong Sim, Hyesoon Kim
COX : Exposing CUDA Warp-level Functions to CPUs. ACM Trans. Archit. Code Optim. 19 (4) (2022)
Ruobing Han, Jun Chen, Bhanu Garg, Jeffrey Young, Jaewoong Sim, Hyesoon Kim
CuPBoP: CUDA for Parallelized and Broad-range Processors. CoRR (2022)
Ramyad Hadidi, Jiashen Cao, Hyesoon Kim
Creating Robust Deep Neural Networks With Coded Distributed Computing for IoT Systems. CoRR (2021)
Bahar Asgari, Ramyad Hadidi, Jiashen Cao, Da Eun Shim, Sung Kyu Lim, Hyesoon Kim
FAFNIR: Accelerating Sparse Gathering by Using Efficient Near-Memory Intelligent Reduction. HPCA (2021)
Blaise Tine, Fares Elsabbagh, Krishna Praveen Yalamarthy, Hyesoon Kim
Vortex: Extending the RISC-V ISA for GPGPU and 3D-GraphicsResearch. CoRR (2021)
Bahar Asgari, Ramyad Hadidi, Joshua Dierberger, Charlotte Steinichen, Amaan Marfatia, Hyesoon Kim
Copernicus: Characterizing the Performance Implications of Compression Formats Used in Sparse Workloads. IISWC (2021)
Ramyad Hadidi, Nima Shoghi Ghaleshahi, Bahar Asgari, Hyesoon Kim
Context-Aware Task Handling in Resource-Constrained Robots with Virtualization. CoRR (2021)
Bahar Asgari, Ramyad Hadidi, Tushar Krishna, Hyesoon Kim, Sudhakar Yalamanchili
Efficiently Solving Partial Differential Equations in a Partially Reconfigurable Specialized Hardware. IEEE Trans. Computers 70 (4) (2021)
Ruobing Han, Blaise Tine, Jaewon Lee, Jaewoong Sim, Hyesoon Kim
Supporting CUDA for an extended RISC-V GPU architecture. CoRR (2021)
Geonhwa Jeong, Eric Qin, Ananda Samajdar, Christopher J. Hughes, Sreenivas Subramoney, Hyesoon Kim, Tushar Krishna
RASA: Efficient Register-Aware Systolic Array Matrix Engine for CPU. DAC (2021)
Jiashen Cao, Ramyad Hadidi, Joy Arulraj, Hyesoon Kim
THIA: Accelerating Video Analytics using Early Inference and Fine-Grained Query Planning. CoRR (2021)
Ramyad Hadidi, Bahar Asgari, Sam Jijina, Adriana Amyette, Nima Shoghi, Hyesoon Kim
Quantifying the design-space tradeoffs in autonomous drones. ASPLOS (2021)
Blaise Tine, Krishna Praveen Yalamarthy, Fares Elsabbagh, Hyesoon Kim
Vortex: Extending the RISC-V ISA for GPGPU and 3D-Graphics. MICRO (2021)
Ruobing Han, Jaewon Lee, Jaewoong Sim, Hyesoon Kim
COX: CUDA on X86 by Exposing Warp-Level Functions to CPUs. CoRR (2021)
Geonhwa Jeong, Eric Qin, Ananda Samajdar, Christopher J. Hughes, Sreenivas Subramoney, Hyesoon Kim, Tushar Krishna
RASA: Efficient Register-Aware Systolic Array Matrix Engine for CPU. CoRR (2021)
Nima Shoghi, Andrei Bersatti, Moinuddin K. Qureshi, Hyesoon Kim
SmaQ: Smart Quantization for DNN Training by Exploiting Value Clustering. IEEE Comput. Archit. Lett. 20 (2) (2021)
Bahar Asgari, Ramyad Hadidi, Tushar Krishna, Hyesoon Kim, Sudhakar Yalamanchili
ALRESCHA: A Lightweight Reconfigurable Sparse-Computation Accelerator. HPCA (2020)
Blaise-Pascal Tine, Sudhakar Yalamanchili, Hyesoon Kim
Tango: An Optimizing Compiler for Just-In-Time RTL Simulation. DATE (2020)
Bahar Asgari, Ramyad Hadidi, Hyesoon Kim
MEISSA: Multiplying Matrices Efficiently in a Scalable Systolic Architecture. ICCD (2020)
Hyojong Kim, Jaewoong Sim, Prasun Gera, Ramyad Hadidi, Hyesoon Kim
Batch-Aware Unified Memory Management in GPUs for Irregular Workloads. ASPLOS (2020)
Bahar Asgari, Ramyad Hadidi, Joshua Dierberger, Charlotte Steinichen, Hyesoon Kim
Copernicus: Characterizing the Performance Implications of Compression Formats Used in Sparse Workloads. CoRR (2020)
Prasun Gera, Hyojong Kim, Piyush Sao, Hyesoon Kim, David A. Bader
Traversing Large Graphs on GPUs with Unified Memory. Proc. VLDB Endow. 13 (7) (2020)
Bahar Asgari, Ramyad Hadidi, Hyesoon Kim
ASCELLA: Accelerating Sparse Computation by Enabling Stream Accesses to Memory. DATE (2020)
Jaewon Lee, Hanning Chen, Jeffrey S. Young, Hyesoon Kim
RISC-V FPGA Platform Toward ROS-Based Robotics Application. FPL (2020)
Blaise Tine, Seyong Lee, Jeffrey S. Vetter, Hyesoon Kim
Productive Hardware Designs using Hybrid HLS-RTL Development. FPGA (2020)
Sam Jijina, Adriana Amyette, Nima Shoghi Ghaleshahi, Ramyad Hadidi, Hyesoon Kim
Understanding the Software and Hardware Stacks of a General-Purpose Cognitive Drone. ISPASS (2020)
Euna Kim, Hyesoon Kim
Things to Consider to Enable Dynamic Graphs in Processing-in-Memory. MEMSYS (2020)
Blaise Tine, Fares Elsabbagh, Seyong Lee, Jeffrey S. Vetter, Hyesoon Kim
Cash: A Single-Source Hardware-Software Codesign Framework for Rapid Prototyping. FPGA (2020)
Nima Shoghi Ghaleshahi, Ramyad Hadidi, Jaewon Lee, Jun Chen, Arthur Siqueira, Rahul Rajan, Shaan Dhawan, Pooya Shoghi Ghalehshahi, Hyesoon Kim
Secure Location-Aware Authentication and Communication for Intelligent Transportation Systems. CoRR (2020)
Fares Elsabbagh, Blaise Tine, Priyadarshini Roshan, Ethan Lyons, Euna Kim, Da Eun Shim, Lingjun Zhu, Sung Kyu Lim, Hyesoon Kim
Vortex: OpenCL Compatible RISC-V GPGPU. CoRR (2020)
Hyesoon Kim
The 2019 Top Picks in Computer Architecture. IEEE Micro 40 (3) (2020)
Andrei Bersatti, Nima Shoghi, Hyesoon Kim
Neural Network Weight Compression with NNW-BDI. MEMSYS (2020)
Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim
Reducing Inference Latency with Concurrent Architectures for Image Recognition. CoRR (2020)
Ramyad Hadidi, Bahar Asgari, Jiashen Cao, Younmin Bae, Hyojong Kim, Michael S. Ryoo, Hyesoon Kim
Edge-Tailored Perception: Fast Inferencing in-the-Edge with Efficient Model Distribution. CoRR (2020)
Yonghae Kim, Jaekyu Lee, Hyesoon Kim
Hardware-based Always-On Heap Memory Safety. MICRO (2020)
Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim
Toward Collaborative Inferencing of Deep Neural Networks on Internet-of-Things Devices. IEEE Internet Things J. 7 (6) (2020)
Bahar Asgari, Ramyad Hadidi, Hyesoon Kim
Proposing a Fast and Scalable Systolic Array for Matrix Multiplication. FCCM (2020)
Pranith Kumar, Hyesoon Kim
Parallel Hash Table Design for NDP Systems. MEMSYS (2020)
Bahar Asgari, Ramyad Hadidi, Nima Shoghi Ghaleshahi, Hyesoon Kim
PISCES: Power-Aware Implementation of SLAM by Customizing Efficient Sparse Algebra. DAC (2020)
Lifeng Nai, Ramyad Hadidi, He Xiao, Hyojong Kim, Jaewoong Sim, Hyesoon Kim
Thermal-aware processing-in-memory instruction offloading. J. Parallel Distributed Comput. 130 (2019)
Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim
Collaborative Execution of Deep Neural Networks on Internet of Things Devices. CoRR (2019)
Bahar Asgari, Ramyad Hadidi, Hyesoon Kim, Sudhakar Yalamanchili
ERIDANUS: Efficiently Running Inference of DNNs Using Systolic Arrays. IEEE Micro 39 (5) (2019)
Joo Hwan Lee, Hyesoon Kim
Empirical Investigation of Stale Value Tolerance on Parallel RNN Training. ISPASS (2019)
Matthew L. Merck, Bingyao Wang, Lixing Liu, Chunjun Jia, Arthur Siqueira, Qiusen Huang, Abhijeet Saraha, Dongsuk Lim, Jiashen Cao, Ramyad Hadidi, Hyesoon Kim
Characterizing the Execution of Deep Neural Networks on Collaborative Robots and Edge Devices. PEARC (2019)
Ramyad Hadidi, Jiashen Cao, Yilun Xie, Bahar Asgari, Tushar Krishna, Hyesoon Kim
Characterizing the Deployment of Deep Neural Networks on Commercial Edge Devices. IISWC (2019)
Blaise-Pascal Tine, Sudhakar Yalamanchili, Hyesoon Kim, Jeffrey S. Vetter
POSTER: Tango: An Optimizing Compiler for Just-In-Time RTL Simulation. PACT (2019)
Bahar Asgari, Ramyad Hadidi, Hyesoon Kim, Sudhakar Yalamanchili
LODESTAR: Creating Locally-Dense CNNs for Efficient Inference on Systolic Arrays. DAC (2019)
Yonghae Kim, Hyesoon Kim
A Case Study: Exploiting Neural Machine Translation to Translate CUDA to OpenCL. CoRR (2019)
Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim
Robustly Executing DNNs in IoT Systems Using Coded Distributed Computing. DAC (2019)
Younmin Bae, Ramyad Hadidi, Bahar Asgari, Jiashen Cao, Hyesoon Kim
Capella: Customizing Perception for Edge Devices by Efficiently Allocating FPGAs to DNNs. FPL (2019)
Jie Zhang, Miryeong Kwon, Hyojong Kim, Hyesoon Kim, Myoungsoo Jung
FlashGPU: Placing New Flash Next to GPU Cores. DAC (2019)
Jiashen Cao, Ramyad Hadidi, Joy Arulraj, Hyesoon Kim
Video analytics from edge to server: work-in-progress. CODES+ISSS (2019)
Yonghae Kim, Hyesoon Kim
Translating CUDA to OpenCL for Hardware Generation using Neural Machine Translation. CGO (2019)
Prasun Gera, Hyojong Kim, Hyesoon Kim, Sunpyo Hong, Vinod George, Chi-Keung Luk
Performance Characterisation and Simulation of Intel's Integrated GPU Architecture. ISPASS (2018)
Lifeng Nai, Ramyad Hadidi, He Xiao, Hyojong Kim, Jaewoong Sim, Hyesoon Kim
CoolPIM: Thermal-Aware Source Throttling for Efficient PIM Instruction Offloading. IPDPS (2018)
Ramyad Hadidi, Jiashen Cao, Matthew Woodward, Michael S. Ryoo, Hyesoon Kim
Distributed Perception by Collaborative Robots. IEEE Robotics Autom. Lett. 3 (4) (2018)
Hyojong Kim, Ramyad Hadidi, Lifeng Nai, Hyesoon Kim, Nuwan Jayasena, Yasuko Eckert, Onur Kayiran, Gabriel H. Loh
CODA: Enabling Co-location of Computation and Data for Multiple GPU Systems. ACM Trans. Archit. Code Optim. 15 (3) (2018)
Ramyad Hadidi, Bahar Asgari, Jeffrey S. Young, Burhan Ahmad Mudassar, Kartikay Garg, Tushar Krishna, Hyesoon Kim
Performance Implications of NoCs on 3D-Stacked Memories: Insights from the Hybrid Memory Cube. ISPASS (2018)
Joo Hwan Lee, Hyesoon Kim
StaleLearn: Learning Acceleration with Asynchronous Synchronization Between Model Replicas on PIM. IEEE Trans. Computers 67 (6) (2018)
Ramyad Hadidi, Jiashen Cao, Matthew Woodward, Michael S. Ryoo, Hyesoon Kim
Real-Time Image Recognition Using Collaborative IoT Devices. ReQuEST@ASPLOS (2018)
Ramyad Hadidi, Jiashen Cao, Matthew Woodward, Michael S. Ryoo, Hyesoon Kim
Musical Chair: Efficient Real-Time Recognition Using Collaborative IoT Devices. CoRR (2018)
Pranith Kumar, Prasun Gera, Hyojong Kim, Hyesoon Kim
Louvre: Light-weight Ordering Using Versioning for Release Consistency. CoRR (2017)
Hyojong Kim, Ramyad Hadidi, Lifeng Nai, Hyesoon Kim, Nuwan Jayasena, Yasuko Eckert, Onur Kayiran, Gabriel H. Loh
CODA: Enabling Co-location of Computation and Data for Near-Data Processing. CoRR (2017)
Chad D. Kersey, Hyesoon Kim, Sudhakar Yalamanchili
Lightweight SIMT core designs for intelligent 3D stacked DRAM. MEMSYS (2017)
Ramyad Hadidi, Bahar Asgari, Jeffrey S. Young, Burhan Ahmad Mudassar, Kartikay Garg, Tushar Krishna, Hyesoon Kim
Performance Implications of NoCs on 3D-Stacked Memories: Insights from the Hybrid Memory Cube. CoRR (2017)
Ramyad Hadidi, Lifeng Nai, Hyojong Kim, Hyesoon Kim
CAIRO: A Compiler-Assisted Technique for Enabling Instruction-Level Offloading of Processing-In-Memory. ACM Trans. Archit. Code Optim. 14 (4) (2017)
Lifeng Nai, Yinglong Xia, Ilie Gabriel Tanase, Hyesoon Kim
Exploring big graph computing - An empirical study from architectural perspective. J. Parallel Distributed Comput. 108 (2017)
Jen-Cheng Huang, Lifeng Nai, Pranith Kumar, Hyojong Kim, Hyesoon Kim
SimProf: A Sampling Framework for Data Analytic Workloads. IPDPS (2017)
Ramyad Hadidi, Bahar Asgari, Burhan Ahmad Mudassar, Saibal Mukhopadhyay, Sudhakar Yalamanchili, Hyesoon Kim
Demystifying the Characteristics of 3D-Stacked Memories: A Case Study for Hybrid Memory Cube. CoRR (2017)
Lifeng Nai, Ramyad Hadidi, Jaewoong Sim, Hyojong Kim, Pranith Kumar, Hyesoon Kim
GraphPIM: Enabling Instruction-Level PIM Offloading in Graph Computing Frameworks. HPCA (2017)
Sangho Lee, Ming-Wei Shih, Prasun Gera, Taesoo Kim, Hyesoon Kim, Marcus Peinado
Inferring Fine-grained Control Flow Inside SGX Enclaves with Branch Shadowing. USENIX Security Symposium (2017)
Ramyad Hadidi, Bahar Asgari, Burhan Ahmad Mudassar, Saibal Mukhopadhyay, Sudhakar Yalamanchili, Hyesoon Kim
Demystifying the characteristics of 3D-stacked memories: A case study for Hybrid Memory Cube. IISWC (2017)
Vijay Janapa Reddi, Hyesoon Kim
On the Internet of Things. IEEE Micro 36 (6) (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Hyesoon Kim