Sitao Huang
Sitao Huang
Assistant Professor of EECS, University of California Irvine
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Zitiert von
Zitiert von
FPGA/DNN co-design: An efficient design methodology for IoT intelligence on the edge
C Hao, X Zhang, Y Li, S Huang, J Xiong, K Rupnow, W Hwu, D Chen
Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019
Towards Neural Phrase-based Machine Translation
PS Huang, C Wang, S Huang, D Zhou, L Deng
Sixth International Conference on Learning Representations (ICLR), 2018
Mind mappings: enabling efficient algorithm-accelerator mapping space search
K Hegde, PA Tsai, S Huang, V Chandra, A Parashar, CW Fletcher
Proceedings of the 26th ACM International Conference on Architectural …, 2021
Hardware acceleration of the pair-HMM algorithm for DNA variant calling
S Huang, GJ Manikandan, A Ramachandran, K Rupnow, WW Hwu, ...
Proceedings of the 2017 ACM/SIGDA International Symposium on Field …, 2017
Large graph convolutional network training with gpu-oriented data communication architecture
SW Min, K Wu, S Huang, M Hidayetoğlu, J Xiong, E Ebrahimi, D Chen, ...
arXiv preprint arXiv:2103.03330, 2021
Pylog: An algorithm-centric python-based FPGA programming and synthesis flow
S Huang, K Wu, H Jeong, C Wang, D Chen, WM Hwu
IEEE Transactions on Computers 70 (12), 2015-2028, 2021
Accelerating subsequence similarity search based on dynamic time warping distance with FPGA
Z Wang, S Huang, L Wang, H Li, Y Wang, H Yang
Proceedings of the ACM/SIGDA international symposium on Field programmable …, 2013
Mixed precision quantization for reram-based dnn inference accelerators
S Huang, A Ankit, P Silveira, R Antunes, SR Chalamalasetti, I El Hajj, ...
Proceedings of the 26th Asia and South Pacific Design Automation Conference …, 2021
Analysis and modeling of collaborative execution strategies for heterogeneous CPU-FPGA architectures
S Huang, LW Chang, I El Hajj, S Garcia de Gonzalo, J Gómez-Luna, ...
Proceedings of the 2019 ACM/SPEC International Conference on Performance …, 2019
Hardware-software co-design for an analog-digital accelerator for machine learning
J Ambrosi, A Ankit, R Antunes, SR Chalamalasetti, S Chatterjee, I El Hajj, ...
2018 IEEE International Conference on Rebooting Computing (ICRC), 1-13, 2018
Automatic generation of warp-level primitives and atomic instructions for fast and portable parallel reduction on GPUs
SG De Gonzalo, S Huang, J Gómez-Luna, S Hammond, O Mutlu, W Hwu
2019 IEEE/ACM International Symposium on Code Generation and Optimization …, 2019
Accelerating sparse deep neural networks on FPGAs
S Huang, C Pearson, R Nagi, J Xiong, D Chen, W Hwu
2019 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2019
Pytorch-direct: Enabling gpu centric data access for very large graph neural network training with irregular accesses
SW Min, K Wu, S Huang, M Hidayetoğlu, J Xiong, E Ebrahimi, D Chen, ...
arXiv preprint arXiv:2101.07956, 2021
Collaborative computing for heterogeneous integrated systems
LW Chang, J Gómez-Luna, I El Hajj, S Huang, D Chen, W Hwu
Proceedings of the 8th ACM/SPEC on International Conference on Performance …, 2017
Triangle counting and truss decomposition using FPGA
S Huang, M El-Hadedy, C Hao, Q Li, VS Mailthody, K Date, J Xiong, ...
2018 IEEE high performance extreme computing conference (HPEC), 1-7, 2018
Accelerating frequent item counting with FPGA
Y Sun, Z Wang, S Huang, L Wang, Y Wang, R Luo, H Yang
Proceedings of the 2014 ACM/SIGDA international symposium on Field …, 2014
Analysis and optimization of I/O cache coherency strategies for SoC-FPGA device
SW Min, S Huang, M El-Hadedy, J Xiong, D Chen, W Hwu
2019 29th International Conference on Field Programmable Logic and …, 2019
Near-memory and in-storage fpga acceleration for emerging cognitive computing workloads
A Dhar, S Huang, J Xiong, D Jamsek, B Mesnet, J Huang, NS Kim, W Hwu, ...
2019 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 68-75, 2019
Chimera: A hybrid machine learning-driven multi-objective design space exploration tool for fpga high-level synthesis
M Yu, S Huang, D Chen
Intelligent Data Engineering and Automated Learning–IDEAL 2021: 22nd …, 2021
Thoughts on massively-parallel heterogeneous computing for solving large problems
W Hwu, M Hidayetoglu, WC Chew, C Pearson, S Garcia, S Huang, ...
2017 Computing and Electromagnetics International Workshop (CEM), 67-68, 2017
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