Shibo Wang
Shibo Wang
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Conformer: Convolution-augmented transformer for speech recognition
A Gulati, J Qin, CC Chiu, N Parmar, Y Zhang, J Yu, W Han, S Wang, ...
arXiv preprint arXiv:2005.08100, 2020
An attention-based spatiotemporal lstm network for next poi recommendation
L Huang, Y Ma, S Wang, Y Liu
IEEE Transactions on Services Computing 14 (6), 1585-1597, 2019
Bigssl: Exploring the frontier of large-scale semi-supervised learning for automatic speech recognition
Y Zhang, DS Park, W Han, J Qin, A Gulati, J Shor, A Jansen, Y Xu, ...
IEEE Journal of Selected Topics in Signal Processing 16 (6), 1519-1532, 2022
Making memristive neural network accelerators reliable
B Feinberg, S Wang, E Ipek
2018 IEEE International Symposium on High Performance Computer Architecture …, 2018
BFloat16: The secret to high performance on Cloud TPUs
S Wang, P Kanwar
Google Cloud Blog 4, 2019
Enabling scientific computing on memristive accelerators
B Feinberg, UKR Vengalam, N Whitehair, S Wang, E Ipek
2018 ACM/IEEE 45th Annual International Symposium on Computer Architecture …, 2018
GSPMD: general and scalable parallelization for ML computation graphs
Y Xu, HJ Lee, D Chen, B Hechtman, Y Huang, R Joshi, M Krikun, ...
arXiv preprint arXiv:2105.04663, 2021
GPUGuard: mitigating contention based side and covert channel attacks on GPUs
Q Xu, H Naghibijouybari, S Wang, N Abu-Ghazaleh, M Annavaram
Proceedings of the ACM International Conference on Supercomputing, 497-509, 2019
Scale mlperf-0.6 models on google tpu-v3 pods
S Kumar, V Bitorff, D Chen, C Chou, B Hechtman, HJ Lee, N Kumar, ...
arXiv preprint arXiv:1909.09756, 2019
Reducing data movement energy via online data clustering and encoding
S Wang, E Ipek
International Symposium on Microarchitecture (MICRO), 2016
Overlap communication with dependent computation via decomposition in large deep learning models
S Wang, J Wei, A Sabne, A Davis, B Ilbeyi, B Hechtman, D Chen, ...
Proceedings of the 28th ACM International Conference on Architectural …, 2022
Automatic cross-replica sharding of weight update in data-parallel training
Y Xu, HJ Lee, D Chen, H Choi, B Hechtman, S Wang
arXiv preprint arXiv:2004.13336, 2020
Development and characterization of a novel air-breathing micro direct methanol fuel cell stack for portable applications
X Liu, B Zhang, Y Zhang, H He, J Li, S Wang, Z Yuan, H Deng
Journal of Micromechanics and Microengineering 20, 2010
Effect of design and operating parameters on dynamic response of a micro direct methanol fuel cell
Y Zhang, H He, Z Yuan, S Wang, X Liu
International journal of hydrogen energy 36 (3), 2230-2236, 2011
Content aware refresh: Exploiting the asymmetry of DRAM retention errors to reduce the refresh frequency of less vulnerable data
S Wang, MN Bojnordi, X Guo, E Ipek
IEEE Transactions on Computers 68 (3), 362-374, 2018
Exploring the limits of Concurrency in ML Training on Google TPUs
S Kumar, Y Wang, C Young, J Bradbury, N Kumar, D Chen, A Swing
Proceedings of Machine Learning and Systems 3, 81-92, 2021
Learning to fuse
A Abdolrashidi, Q Xu, S Wang, S Roy, Y Zhou
NeurIPS ML for Systems Workshop, 2019
Enabling energy efficient Hybrid Memory Cube systems with erasure codes
S Wang, Y Song, MN Bojnordi, E Ipek
International Symposium on Low Power Electronics and Design (ISLPED), 2015
Silicon-based micro direct methanol fuel cell with an N-inputs-N-outputs anode flow pattern
Y Zhang, L Wang, Z Yuan, S Wang, J Li, X Liu
Chinese Science Bulletin 56 (8), 826-829, 2011
Superconducting system architecture for high-performance energy-efficient cryogenic computing
E Ipek, B Feinberg, S Wang, MN Bojnordi, R Patel, EG Friedman
US Patent 10,552,756, 2020
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