Takip et
Ritchie Zhao
Ritchie Zhao
Microsoft
cornell.edu üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Accelerating binarized convolutional neural networks with software-programmable FPGAs
R Zhao, W Song, W Zhang, T Xing, JH Lin, M Srivastava, R Gupta, ...
Proceedings of the 2017 ACM/SIGDA international symposium on field …, 2017
5202017
Serving dnns in real time at datacenter scale with project brainwave
E Chung, J Fowers, K Ovtcharov, M Papamichael, A Caulfield, ...
iEEE Micro 38 (2), 8-20, 2018
4082018
Improving neural network quantization without retraining using outlier channel splitting
R Zhao, Y Hu, J Dotzel, C De Sa, Z Zhang
International conference on machine learning, 7543-7552, 2019
3702019
Rosetta: A realistic high-level synthesis benchmark suite for software programmable FPGAs
Y Zhou, U Gupta, S Dai, R Zhao, N Srivastava, H Jin, J Featherston, ...
Proceedings of the 2018 ACM/SIGDA International Symposium on Field …, 2018
1602018
Pushing the limits of narrow precision inferencing at cloud scale with microsoft floating point
B Darvish Rouhani, D Lo, R Zhao, M Liu, J Fowers, K Ovtcharov, ...
Advances in neural information processing systems 33, 10271-10281, 2020
1342020
The Celerity open-source 511-core RISC-V tiered accelerator fabric: Fast architectures and design methodologies for fast chips
S Davidson, S Xie, C Torng, K Al-Hawai, A Rovinski, T Ajayi, L Vega, ...
IEEE Micro 38 (2), 30-41, 2018
1342018
Accelerating persistent neural networks at datacenter scale
E Chung, J Fowers, K Ovtcharov, M Papamichael, A Caulfield, ...
Hot Chips 29, 2017
862017
Quantization for dnn accelerators
DC Burger, ES Chung, BD Rouhani, D Lo, R Zhao
US Patent App. 15/972,048, 2019
752019
Flow for quantized neural networks
DC Burger, ES Chung, BD Rouhani, D Lo, R Zhao
US Patent 11,645,493, 2023
732023
Elasticflow: A complexity-effective approach for pipelining irregular loop nests
M Tan, G Liu, R Zhao, S Dai, Z Zhang
2015 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 78-85, 2015
632015
A parallel bandit-based approach for autotuning FPGA compilation
C Xu, G Liu, R Zhao, S Yang, G Luo, Z Zhang
Proceedings of the 2017 ACM/SIGDA international symposium on field …, 2017
622017
Microscaling data formats for deep learning
BD Rouhani, R Zhao, A More, M Hall, A Khodamoradi, S Deng, ...
arXiv preprint arXiv:2310.10537, 2023
532023
Adjusting activation compression for neural network training
D Lo, BD Rouhani, ES Chung, Y Zhao, A Phanishayee, R Zhao
US Patent 12,165,038, 2024
512024
With shared microexponents, a little shifting goes a long way
B Darvish Rouhani, R Zhao, V Elango, R Shafipour, M Hall, ...
Proceedings of the 50th Annual International Symposium on Computer …, 2023
442023
Dynamic hazard resolution for pipelining irregular loops in high-level synthesis
S Dai, R Zhao, G Liu, S Srinath, U Gupta, C Batten, Z Zhang
Proceedings of the 2017 ACM/SIGDA International Symposium on Field …, 2017
432017
Celerity: An open source RISC-V tiered accelerator fabric
T Ajayi, K Al-Hawaj, A Amarnath, S Dai, S Davidson, P Gao, G Liu, A Lotfi, ...
Symp. on High Performance Chips (Hot Chips), 2017
382017
Binarized convolutional neural networks with separable filters for efficient hardware acceleration
JH Lin, T Xing, R Zhao, Z Zhang, M Srivastava, Z Tu, RK Gupta
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
382017
A 1.4 GHz 695 Giga Risc-V inst/s 496-core manycore processor with mesh on-chip network and an all-digital synthesized PLL in 16nm CMOS
A Rovinski, C Zhao, K Al-Hawaj, P Gao, S Xie, C Torng, S Davidson, ...
2019 Symposium on VLSI Circuits, C30-C31, 2019
352019
Building efficient deep neural networks with unitary group convolutions
R Zhao, Y Hu, J Dotzel, CD Sa, Z Zhang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
342019
Evaluating celerity: A 16-nm 695 Giga-RISC-V instructions/s manycore processor with synthesizable PLL
A Rovinski, C Zhao, K Al-Hawaj, P Gao, S Xie, C Torng, S Davidson, ...
IEEE Solid-State Circuits Letters 2 (12), 289-292, 2019
332019
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