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Seungbin Song
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2020 – today
- 2024
- [c7]Seungbin Song
, Ju Min Lee
TeMCO: Tensor Memory Compiler Optimization across Tensor Decompositions in Deep Learning Inference. ICPP 2024: 1114-1123 - 2023
- [c6]Jaeho Lee
Occamy: Memory-efficient GPU Compiler for DNN Inference. DAC 2023: 1-6 - 2022
- [c5]Shinnung Jeong
Decoupling Schedule, Topology Layout, and Algorithm to Easily Enlarge the Tuning Space of GPU Graph Processing. PACT 2022: 198-210 - 2021
- [j2]Gyeongmin Lee
ComFlex: Composable and Flexible Resource Management for the IoT. IEEE Internet Things J. 8(22): 16406-16417 (2021) - [j1]Gyeongmin Lee, Bongjun Kim
Precise Correlation Extraction for IoT Fault Detection With Concurrent Activities. ACM Trans. Embed. Comput. Syst. 20(5s): 94:1-94:21 (2021) - [c4]Seungbin Song, Heelim Choi, Hanjun Kim
Fine-Grained Pipeline Parallelization for Network Function Programs. CGO 2021: 162-173 - 2020
- [c3]Seonyeong Heo
Sharing-aware Data Acquisition Scheduling for Multiple Rules in the IoT. RTAS 2020: 43-55
2010 – 2019
- 2019
- [c2]Bongjun Kim
Spinal code: automatic code extraction for near-user computation in fogs. CC 2019: 87-98 - 2017
- [c1]Seonyeong Heo
RT-IFTTT: Real-Time IoT Framework with Trigger Condition-Aware Flexible Polling Intervals. RTSS 2017: 266-276
Coauthor Index
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