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Hadi Esmaeilzadeh
Hadi Esmaeilzadeh
Associate Professor; Computer Science and Engineering; University of California, San Diego
Verified email at eng.ucsd.edu - Homepage
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Cited by
Year
Dark silicon and the end of multicore scaling
H Esmaeilzadeh, E Blem, R St. Amant, K Sankaralingam, D Burger
Proceedings of the 38th annual international symposium on Computer …, 2011
25722011
A reconfigurable fabric for accelerating large-scale datacenter services
A Putnam, AM Caulfield, ES Chung, D Chiou, K Constantinides, J Demme, ...
ACM SIGARCH Computer Architecture News 42 (3), 13-24, 2014
15542014
Neural acceleration for general-purpose approximate programs
H Esmaeilzadeh, A Sampson, L Ceze, D Burger
2012 45th annual IEEE/ACM international symposium on microarchitecture, 449-460, 2012
8712012
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
6402016
Bit fusion: Bit-level dynamically composable architecture for accelerating deep neural network
H Sharma, J Park, N Suda, L Lai, B Chau, JK Kim, V Chandra, ...
2018 ACM/IEEE 45th Annual International Symposium on Computer Architecture …, 2018
6122018
Architecture support for disciplined approximate programming
H Esmaeilzadeh, A Sampson, L Ceze, D Burger
Proceedings of the seventeenth international conference on Architectural …, 2012
5972012
Dark silicon and the end of multicore scaling
H Esmaeilzadeh, E Blem, RS Amant, K Sankaralingam, D Burger
IEEE micro 32 (3), 122-134, 2012
3882012
AxBench: A multiplatform benchmark suite for approximate computing
A Yazdanbakhsh, D Mahajan, H Esmaeilzadeh, P Lotfi-Kamran
IEEE Design & Test 34 (2), 60-68, 2016
2742016
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
2392014
Power challenges may end the multicore era
H Esmaeilzadeh, E Blem, RS Amant, K Sankaralingam, D Burger
Communications of the ACM 56 (2), 93-102, 2013
2282013
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
2142016
Snapea: Predictive early activation for reducing computation in deep convolutional neural networks
V Akhlaghi, A Yazdanbakhsh, K Samadi, RK Gupta, H Esmaeilzadeh
2018 ACM/IEEE 45th Annual International Symposium on Computer Architecture …, 2018
1962018
SNNAP: Approximate computing on programmable SoCs via neural acceleration
T Moreau, M Wyse, J Nelson, A Sampson, H Esmaeilzadeh, L Ceze, ...
2015 IEEE 21st International Symposium on High Performance Computer …, 2015
1862015
A reconfigurable fabric for accelerating large-scale datacenter services
A Putnam, AM Caulfield, ES Chung, D Chiou, K Constantinides, J Demme, ...
IEEE Micro 35 (3), 10-22, 2015
1712015
Privacy in deep learning: A survey
F Mireshghallah, M Taram, P Vepakomma, A Singh, R Raskar, ...
arXiv preprint arXiv:2004.12254, 2020
1682020
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
1362015
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
1202020
Ganax: A unified mimd-simd acceleration for generative adversarial networks
A Yazdanbakhsh, H Falahati, PJ Wolfe, H Esmaeilzadeh, K Samadi
2018 ACM/IEEE 45th annual international symposium on computer architecture …, 2018
1152018
Looking back on the language and hardware revolutions: measured power, performance, and scaling
H Esmaeilzadeh, T Cao, Y Xi, SM Blackburn, KS McKinley
ACM SIGARCH Computer Architecture News 39 (1), 319-332, 2011
1142011
Shredder: Learning noise distributions to protect inference privacy
F Mireshghallah, M Taram, P Ramrakhyani, A Jalali, D Tullsen, ...
Proceedings of the Twenty-Fifth International Conference on Architectural …, 2020
1022020
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