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Author

Jongse Park

Observed name: Park, Jongse
ORCID: 0000-0002-6629-449X
Observed ORCID: 0000-0002-6629-449X
OpenAlex ID: A5037553165
Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Network
2018 · Hardik Sharma, Jongse Park, et al. · Proceedings - International Symposium on Computer Architecture/Proceedings · 593
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From high-level deep neural models to FPGAs
2016 · Hardik Sharma, Jongse Park, et al. · IEEE/ACM International Symposium on Microarchitecture (MICRO) · 495
NeuPIMs: NPU-PIM Heterogeneous Acceleration for Batched LLM Inferencing
2024 · Guseul Heo, Sangyeop Lee, et al. · International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) · 174
TABLA: A unified template-based framework for accelerating statistical machine learning
2016 · Divya Mahajan, Jongse Park, et al. · IEEE International Symposium on High-Performance Computer Architecture (HPCA) · 157
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General-purpose code acceleration with limited-precision analog computation
2014 · Renée St. Amant, Amir Yazdanbakhsh, et al. · ACM SIGARCH Computer Architecture News · 143
Neural acceleration for GPU throughput processors
2015 · Amir Yazdanbakhsh, Jongse Park, et al. · IEEE/ACM International Symposium on Microarchitecture (MICRO) · 105
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A Network-Centric Hardware/Algorithm Co-Design to Accelerate Distributed Training of Deep Neural Networks
2018 · Youjie Li, Jongse Park, et al. · IEEE/ACM International Symposium on Microarchitecture (MICRO) · 87
General-purpose code acceleration with limited-precision analog computation
2014 · Renee St. Amant, Amir Yazdanbakhsh, et al. · Proceedings - International Symposium on Computer Architecture/Proceedings · 71
FlexJava: language support for safe and modular approximate programming
2015 · Jongse Park, Hadi Esmaeilzadeh, et al. · ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) · 70
Locality-aware dynamic VM reconfiguration on MapReduce clouds
2012 · Jongse Park, Daewoo Lee, et al. · ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC) · 63
SLO-Aware Inference Scheduler for Heterogeneous Processors in Edge Platforms
2021 · Wonik Seo, Sanghoon Cha, et al. · ACM Transactions on Architecture and Code Optimization · 60
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LLMServingSim: A HW/SW Co-Simulation Infrastructure for LLM Inference Serving at Scale
2024 · Jaehong Cho, Minsu Kim, et al. · IEEE International Symposium on Workload Characterization · 53
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Axilog: Language Support for Approximate Hardware Design
2015 · Amir Yazdanbakhsh, Divya Mahajan, et al. · Design, Automation, and Test in Europe · 49
Axilog: language support for approximate hardware design
2015 · Amir Yazdanbakhsh, Divya Mahajan, et al. · Design, Automation, and Test in Europe · 45
FlexBlock: A Flexible DNN Training Accelerator With Multi-Mode Block Floating Point Support
2023 · Seock-Hwan Noh, Jahyun Koo, et al. · IEEE Transactions on Computers · 44
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TNPU: Supporting Trusted Execution with Tree-less Integrity Protection for Neural Processing Unit
2022 · Sunho Lee, Jungwoo Kim, et al. · IEEE International Symposium on High-Performance Computer Architecture (HPCA) · 42
Rollback-free value prediction with approximate loads
2014 · Bradley Thwaites, Gennady Pekhimenko, et al. · International Conference on Parallel Architectures and Compilation Techniques (PACT) · 41
Scale-out acceleration for machine learning
2017 · Jongse Park, Hardik Sharma, et al. · IEEE/ACM International Symposium on Microarchitecture (MICRO) · 39
Towards statistical guarantees in controlling quality tradeoffs for approximate acceleration
2016 · Divya Mahajan, Amir Yazdanbakhsh, et al. · ACM SIGARCH Computer Architecture News · 39
Common Counters: Compressed Encryption Counters for Secure GPU Memory
2021 · Seonjin Na, Sunho Lee, et al. · IEEE International Symposium on High-Performance Computer Architecture (HPCA) · 34
Towards Statistical Guarantees in Controlling Quality Tradeoffs for Approximate Acceleration
2016 · Divya Mahajan, Amir Yazdanbaksh, et al. · Proceedings - International Symposium on Computer Architecture/Proceedings · 34
Multi-model Machine Learning Inference Serving with GPU Spatial Partitioning
2021 · Choi, Seungbeom, Lee, Sunho, et al. · arXiv (Cornell University) · 31
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ONNXim: A Fast, Cycle-Level Multi-Core NPU Simulator
2024 · Hyungkyu Ham, Wonhyuk Yang, et al. · IEEE Computer Architecture Letters · 30
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Tandem Processor: Grappling with Emerging Operators in Neural Networks
2024 · Soroush Ghodrati, Sean Kinzer, et al. · International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) · 30
Oaken: Fast and Efficient LLM Serving with Online-Offline Hybrid KV Cache Quantization
2025 · Minsu Kim, Seongmin Hong, et al. · Proceedings - International Symposium on Computer Architecture/Proceedings · 26
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Works count: 76
Citation count: 2,807
H-index: 25
I10-index: 37
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