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Jongse Park
Jongse Park
Associate Professor; School of Computing; KAIST
Bestätigte E-Mail-Adresse bei kaist.ac.kr - Startseite
Titel
Zitiert von
Zitiert von
Jahr
From high-level deep neural models to FPGAs
H Sharma, J Park, D Mahajan, E Amaro, JK Kim, C Shao, A Mishra, ...
2016 49th Annual IEEE/ACM International Symposium on Microarchitecture …, 2016
6622016
Bit fusion: Bit-level dynamically composable architecture for accelerating deep neural network
H Sharma, J Park, N Suda, L Lai, B Chau, JK Kim, V Chandra, ...
2018 ACM/IEEE 45th Annual International Symposium on Computer Architecture …, 2018
6592018
General-purpose code acceleration with limited-precision analog computation
R St. Amant, A Yazdanbakhsh, J Park, B Thwaites, H Esmaeilzadeh, ...
ACM SIGARCH Computer Architecture News 42 (3), 505-516, 2014
2462014
Tabla: A unified template-based framework for accelerating statistical machine learning
D Mahajan, J Park, E Amaro, H Sharma, A Yazdanbakhsh, JK Kim, ...
2016 IEEE International Symposium on High Performance Computer Architecture …, 2016
2212016
Neural acceleration for GPU throughput processors
A Yazdanbakhsh, J Park, H Sharma, P Lotfi-Kamran, H Esmaeilzadeh
Proceedings of the 48th international symposium on microarchitecture, 482-493, 2015
1422015
A network-centric hardware/algorithm co-design to accelerate distributed training of deep neural networks
Y Li, J Park, M Alian, Y Yuan, Z Qu, P Pan, R Wang, A Schwing, ...
2018 51st Annual IEEE/ACM International Symposium on Microarchitecture …, 2018
1082018
Serving heterogeneous machine learning models on {Multi-GPU} servers with {Spatio-Temporal} sharing
S Choi, S Lee, Y Kim, J Park, Y Kwon, J Huh
2022 USENIX Annual Technical Conference (USENIX ATC 22), 199-216, 2022
1022022
Axilog: Language support for approximate hardware design
A Yazdanbakhsh, D Mahajan, B Thwaites, J Park, A Nagendrakumar, ...
2015 Design, Automation & Test in Europe Conference & Exhibition (DATE), 812-817, 2015
952015
Locality-aware dynamic VM reconfiguration on MapReduce clouds
J Park, D Lee, B Kim, J Huh, S Maeng
Proceedings of the 21st international symposium on High-Performance Parallel …, 2012
952012
Dnnweaver: From high-level deep network models to fpga acceleration
H Sharma, J Park, E Amaro, B Thwaites, P Kotha, A Gupta, JK Kim, ...
the Workshop on Cognitive Architectures, 2016
842016
FlexJava: Language support for safe and modular approximate programming
J Park, H Esmaeilzadeh, X Zhang, M Naik, W Harris
10th Joint Meeting of the European Software Engineering Conference and the …, 0
83*
Towards statistical guarantees in controlling quality tradeoffs for approximate acceleration
D Mahajan, A Yazdanbakhsh, J Park, B Thwaites, H Esmaeilzadeh
ACM SIGARCH Computer Architecture News 44 (3), 66-77, 2016
702016
Scale-out acceleration for machine learning
J Park, H Sharma, D Mahajan, JK Kim, P Olds, H Esmaeilzadeh
Proceedings of the 50th Annual IEEE/ACM International Symposium on …, 2017
642017
Rollback-free value prediction with approximate loads
B Thwaites, G Pekhimenko, H Esmaeilzadeh, A Yazdanbakhsh, O Mutlu, ...
Proceedings of the 23rd international conference on Parallel architectures …, 2014
612014
SLO-aware inference scheduler for heterogeneous processors in edge platforms
W Seo, S Cha, Y Kim, J Huh, J Park
ACM Transactions on Architecture and Code Optimization (TACO) 18 (4), 1-26, 2021
382021
AxGames: Towards crowdsourcing quality target determination in approximate computing
J Park, E Amaro, D Mahajan, B Thwaites, H Esmaeilzadeh
ACM SIGPLAN Notices 51 (4), 623-636, 2016
382016
Mixed-signal charge-domain acceleration of deep neural networks through interleaved bit-partitioned arithmetic
S Ghodrati, H Sharma, S Kinzer, A Yazdanbakhsh, J Park, NS Kim, ...
Proceedings of the ACM International Conference on Parallel Architectures …, 2020
332020
Common counters: Compressed encryption counters for secure GPU memory
S Na, S Lee, Y Kim, J Park, J Huh
2021 IEEE International Symposium on High-Performance Computer Architecture …, 2021
322021
Multi-model machine learning inference serving with gpu spatial partitioning
S Choi, S Lee, Y Kim, J Park, Y Kwon, J Huh
arXiv preprint arXiv:2109.01611, 2021
282021
FlexBlock: A flexible DNN training accelerator with multi-mode block floating point support
SH Noh, J Koo, S Lee, J Park, J Kung
IEEE Transactions on Computers 72 (9), 2522-2535, 2023
252023
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