Jongse Park
Jongse Park
Assistant Professor; School of Computing; KAIST
Verified email at kaist.ac.kr - Homepage
Title
Cited by
Cited by
Year
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
2902016
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
1842014
Bit fusion: Bit-level dynamically composable architecture for accelerating deep neural network
H Sharma, J Park, N Suda, L Lai, B Chau, V Chandra, H Esmaeilzadeh
2018 ACM/IEEE 45th Annual International Symposium on Computer Architecture …, 2018
1572018
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
1152016
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
852012
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
752015
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
642015
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
55*
Rollback-free value prediction with approximate loads
B Thwaites, G Pekhimenko, H Esmaeilzadeh, A Yazdanbakhsh, J Park, ...
2014 23rd International Conference on Parallel Architecture and Compilation …, 2014
472014
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
422016
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
392016
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
342018
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
332017
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
212016
Expax: A framework for automating approximate programming
J Park, X Zhang, K Ni, H Esmaeilzadeh, M Naik
Georgia Institute of Technology, 2014
162014
Prediction-based quality control for approximate accelerators
D Mahajan, A Yazdanbakhsh, J Park, B Thwaites, H Esmaeilzadeh
Second Workshop on Approximate Computing Across the System Stack, WACAS, 2015
152015
Axilog: Abstractions for approximate hardware design and reuse
D Mahajan, K Ramkrishnan, R Jariwala, A Yazdanbakhsh, J Park, ...
IEEE Micro, 2015
132015
Expectation-oriented framework for automating approximate programming
J Park, K Ni, X Zhang, H Esmaeilzadeh, M Naik
Workshop on Approximate Computing Across the System Stack (WACAS), 2014
82014
Toward general-purpose code acceleration with analog computation
A Yazdanbakhsh, RS Amant, B Thwaites, J Park, H Esmaeilzadeh, ...
Workshop on approximate computing across the system stack (WACAS) in …, 2014
52014
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
22020
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