Yeseong Kim
Orcid: 0000-0001-5947-9632
According to our database1,
Yeseong Kim
authored at least 75 papers
between 2012 and 2024.
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Bibliography
2024
Advancing Hyperdimensional Computing Based on Trainable Encoding and Adaptive Training for Efficient and Accurate Learning.
ACM Trans. Design Autom. Electr. Syst., 2024
Exploiting Boosting in Hyperdimensional Computing for Enhanced Reliability in Healthcare.
CoRR, 2024
Brain-Inspired Hyperdimensional Computing in the Wild: Lightweight Symbolic Learning for Sensorimotor Controls of Wheeled Robots.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Proceedings of the 42nd IEEE International Conference on Computer Design, 2024
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024
NDPipe: Exploiting Near-data Processing for Scalable Inference and Continuous Training in Photo Storage.
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024
2023
Sparsity Controllable Hyperdimensional Computing for Genome Sequence Matching Acceleration.
Proceedings of the 31st IFIP/IEEE International Conference on Very Large Scale Integration, 2023
Algorithm-Hardware Co-Design for Efficient Brain-Inspired Hyperdimensional Learning on Edge (Extended Abstract).
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Hierarchical, Distributed and Brain-Inspired Learning for Internet of Things Systems.
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023
Proceedings of the Great Lakes Symposium on VLSI 2023, 2023
Efficient Hyperdimensional Learning with Trainable, Quantizable, and Holistic Data Representation.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023
Sidekick: Near Data Processing for Clustering Enhanced by Automatic Memory Disaggregation.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023
Comprehensive Integration of Hyperdimensional Computing with Deep Learning towards Neuro-Symbolic AI.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023
2022
IEEE Trans. Computers, 2022
ACM J. Emerg. Technol. Comput. Syst., 2022
DeepSketch: A New Machine Learning-Based Reference Search Technique for Post-Deduplication Delta Compression.
CoRR, 2022
BioHD: an efficient genome sequence search platform using HyperDimensional memorization.
Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022
DeepSketch: A New Machine Learning-Based Reference Search Technique for Post-Deduplication Delta Compression.
Proceedings of the 20th USENIX Conference on File and Storage Technologies, 2022
DeepPM: Transformer-based Power and Performance Prediction for Energy-Aware Software.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022
Online Performance and Power Prediction for Edge TPU via Comprehensive Characterization.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022
Algorithm-Hardware Co-Design for Efficient Brain-Inspired Hyperdimensional Learning on Edge.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022
QuiltNet: efficient deep learning inference on multi-chip accelerators using model partitioning.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022
XCelHD: An Efficient GPU-Powered Hyperdimensional Computing with Parallelized Training.
Proceedings of the 27th Asia and South Pacific Design Automation Conference, 2022
2021
Spiking Hyperdimensional Network: Neuromorphic Models Integrated with Memory-Inspired Framework.
CoRR, 2021
Scalable edge-based hyperdimensional learning system with brain-like neural adaptation.
Proceedings of the International Conference for High Performance Computing, 2021
Efficient Brain-Inspired Hyperdimensional Learning with Spatiotemporal Structured Data.
Proceedings of the 29th International Symposium on Modeling, 2021
Massively Parallel Big Data Classification on a Programmable Processing In-Memory Architecture.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2021
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021
DP-Sim: A Full-stack Simulation Infrastructure for Digital Processing In-Memory Architectures.
Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021
Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021
2020
SHEARer: Highly-Efficient Hyperdimensional Computing by Software-Hardware Enabled Multifold Approximation.
CoRR, 2020
Proceedings of the 33rd IEEE International System-on-Chip Conference, 2020
DUAL: Acceleration of Clustering Algorithms using Digital-based Processing In-Memory.
Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020
SHEAR<i>er</i>: highly-efficient hyperdimensional computing by software-hardware enabled multifold approximation.
Proceedings of the ISLPED '20: ACM/IEEE International Symposium on Low Power Electronics and Design, 2020
Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2020
GenieHD: Efficient DNA Pattern Matching Accelerator Using Hyperdimensional Computing.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020
2019
Proceedings of the 1st Workshop on Machine Learning on Edge in Sensor Systems, 2019
MAPIM: Mat Parallelism for High Performance Processing in Non-volatile Memory Architecture.
Proceedings of the 20th International Symposium on Quality Electronic Design, 2019
Proceedings of the 2019 International Symposium on Physical Design, 2019
FloatPIM: in-memory acceleration of deep neural network training with high precision.
Proceedings of the 46th International Symposium on Computer Architecture, 2019
Proceedings of the 16th IEEE International Conference on Networking, Sensing and Control, 2019
Proceedings of the 2019 on Great Lakes Symposium on VLSI, 2019
Proceedings of the 2019 on Great Lakes Symposium on VLSI, 2019
Application Performance Prediction and Optimization Under Cache Allocation Technology.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019
Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019
Proceedings of the 12th IEEE International Conference on Cloud Computing, 2019
2018
Proceedings of the 19th International Symposium on Quality Electronic Design, 2018
Proceedings of the 8th International Conference on the Internet of Things, 2018
2017
Enabling efficient system design using vertical nanowire transistor current mode logic.
Proceedings of the 2017 IFIP/IEEE International Conference on Very Large Scale Integration, 2017
Proceedings of the IEEE International Conference on Rebooting Computing, 2017
P<sup>4</sup>: Phase-based power/performance prediction of heterogeneous systems via neural networks.
Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017
ORCHARD: Visual object recognition accelerator based on approximate in-memory processing.
Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017
Cross-platform machine learning characterization for task allocation in IoT ecosystems.
Proceedings of the IEEE 7th Annual Computing and Communication Workshop and Conference, 2017
Proceedings of the 22nd Asia and South Pacific Design Automation Conference, 2017
2016
A Personalized Network Activity-Aware Approach to Reducing Radio Energy Consumption of Smartphones.
IEEE Trans. Mob. Comput., 2016
Proceedings of the 5th Non-Volatile Memory Systems and Applications Symposium, 2016
ACAM: Approximate Computing Based on Adaptive Associative Memory with Online Learning.
Proceedings of the 2016 International Symposium on Low Power Electronics and Design, 2016
2015
Characterization of User's Behavior Variations for Design of Replayable Mobile Workloads.
Proceedings of the Mobile Computing, Applications, and Services, 2015
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2015
CAUSE: Critical Application Usage-Aware Memory System using Non-volatile Memory for Mobile Devices.
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2015
2014
ACM Trans. Embed. Comput. Syst., 2014
2012
Personalized Diapause: Reducing Radio Energy Consumption of Smartphones by Network-Context Aware Dormancy Predictions.
Proceedings of the 2012 Workshop on Power-Aware Computing Systems, HotPower'12, 2012