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Adrian Sampson
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Citata da
Anno
EnerJ: Approximate data types for safe and general low-power computation
A Sampson, W Dietl, E Fortuna, D Gnanapragasam, L Ceze, D Grossman
ACM SIGPLAN Notices 46 (6), 164-174, 2011
9972011
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
8792012
Architecture support for disciplined approximate programming
H Esmaeilzadeh, A Sampson, L Ceze, D Burger
Proceedings of the seventeenth international conference on Architectural …, 2012
5982012
Approximate storage in solid-state memories
A Sampson, J Nelson, K Strauss, L Ceze
ACM Transactions on Computer Systems (TOCS) 32 (3), 1-23, 2014
4072014
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
1902015
Accept: A programmer-guided compiler framework for practical approximate computing
A Sampson, A Baixo, B Ransford, T Moreau, J Yip, L Ceze, M Oskin
University of Washington Technical Report UW-CSE-15-01 1 (2), 1-14, 2015
1672015
Reconfiguring the imaging pipeline for computer vision
M Buckler, S Jayasuriya, A Sampson
Proceedings of the IEEE International Conference on Computer Vision, 975-984, 2017
1322017
Expressing and verifying probabilistic assertions
A Sampson, P Panchekha, T Mytkowicz, KS McKinley, D Grossman, ...
Proceedings of the 35th ACM SIGPLAN Conference on Programming Language …, 2014
1222014
Machine learning method to identify independent tasks for parallel layout in web browsers
GC Cascaval, ALD Sampson, B Wang
US Patent 8,510,237, 2013
1182013
EVA²: Exploiting temporal redundancy in live computer vision
M Buckler, P Bedoukian, S Jayasuriya, A Sampson
2018 ACM/IEEE 45th Annual International Symposium on Computer Architecture …, 2018
982018
Monitoring and debugging the quality of results in approximate programs
M Ringenburg, A Sampson, I Ackerman, L Ceze, D Grossman
Proceedings of the Twentieth International Conference on Architectural …, 2015
902015
Predictable accelerator design with time-sensitive affine types
R Nigam, S Atapattu, S Thomas, Z Li, T Bauer, Y Ye, A Koti, A Sampson, ...
Proceedings of the 41st ACM SIGPLAN Conference on Programming Language …, 2020
812020
Exploiting errors for efficiency: A survey from circuits to applications
P Stanley-Marbell, A Alaghi, M Carbin, E Darulova, L Dolecek, ...
ACM Computing Surveys (CSUR) 53 (3), 1-39, 2020
772020
A compiler infrastructure for accelerator generators
R Nigam, S Thomas, Z Li, A Sampson
Proceedings of the 26th ACM International Conference on Architectural …, 2021
702021
A taxonomy of general purpose approximate computing techniques
T Moreau, J San Miguel, M Wyse, J Bornholt, A Alaghi, L Ceze, NE Jerger, ...
IEEE Embedded Systems Letters 10 (1), 2-5, 2017
652017
Probability type inference for flexible approximate programming
B Boston, A Sampson, D Grossman, L Ceze
Proceedings of the 2015 ACM SIGPLAN International Conference on Object …, 2015
652015
Neural acceleration for general-purpose approximate programs
H Esmaeilzadeh, A Sampson, L Ceze, D Burger
Communications of the ACM 58 (1), 105-115, 2014
632014
Vectorization for digital signal processors via equality saturation
A VanHattum, R Nigam, VT Lee, J Bornholt, A Sampson
Proceedings of the 26th ACM International Conference on Architectural …, 2021
542021
Approximate computing: Making mobile systems more efficient
T Moreau, A Sampson, L Ceze
IEEE Pervasive Computing 14 (2), 9-13, 2015
432015
Hardware and software for approximate computing
A Sampson
352015
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