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Hardik Sharma
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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
4642016
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
3412018
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
1572016
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
1102015
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
502016
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
462017
Planaria: Dynamic architecture fission for spatial multi-tenant acceleration of deep neural networks
S Ghodrati, BH Ahn, JK Kim, S Kinzer, BR Yatham, N Alla, H Sharma, ...
2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture …, 2020
272020
Mixed-signal charge-domain acceleration of deep neural networks through interleaved bit-partitioned arithmetic
S Ghodrati, H Sharma, S Kinzer, A Yazdanbakhsh, K Samadi, NS Kim, ...
arXiv preprint arXiv:1906.11915, 2019
162019
Bit-parallel vector composability for neural acceleration
S Ghodrati, H Sharma, C Young, NS Kim, H Esmaeilzadeh
2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020
102020
Processing artificial neural network weights
AE Chalfin, H Sharma, TJ Olson
US Patent 10,599,935, 2020
82020
The impact of 3D stacking on GPU-accelerated deep neural networks: An experimental study
W Wahby, T Sarvey, H Sharma, H Esmaeilzadeh, MS Bakir
2016 IEEE International 3D Systems Integration Conference (3DIC), 1-4, 2016
32016
DnnWeaver v2. 0: From tensors to FPGAs
H Sharma, J Park, B Samynathan, B Robatmili, S Mirkhani, ...
Memory2. 1 (), 3, 2016
22016
Systems, apparatus, methods, and architectures for a neural network workflow to generate a hardware accelerator
H Sharma, J Park
US Patent 11,321,606, 2022
12022
Systems, apparatus, methods, and architectures for heterogeneous precision acceleration of quantized neural networks
H Sharma, J Park
US Patent App. 16/744,039, 2020
12020
Accelerated deep learning for the edge-to-cloud continuum: A specialized full stack derived from algorithms
H Sharma
Georgia Institute of Technology, 2019
12019
From Tensors to FPGAs: Accelerating Deep Learning
H Sharma, J Park, B Samynathan, B Robatmili, S Mirkhani, ...
Hot Chips: Symposium on High Performance Chips. IEEE/ACM, 2018
12018
Hardware acceleration pipeline with filtering engine for column-oriented database management systems with arbitrary scheduling functionality
H Sharma, M Brzozowski, B Samynathan
US Patent App. 16/988,650, 2021
2021
Systems, apparatus, methods, and architecture for precision heterogeneity in accelerating neural networks for inference and training
H Sharma, J Park
US Patent App. 16/744,037, 2020
2020
Selecting encoding options
S Pratapa, H Sharma, TJ Olson, AE Chalfin
US Patent 10,559,093, 2020
2020
Approximate Computing and Microfluidic Cooling for Enhanced Machine Learning
H Sharma, W Wahby, T Sarvey, MS Bakir, H Esmailzadeh
Workshop on Approximate Computing Across the System Stack (WAX), 2016
2016
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