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Physically Accurate Learning-based Performance Prediction of Hardware-accelerated ML Algorithms.

H. Esmaeilzadeh, S. Ghodrati, A. Kahng, J. Kim, S. Kinzer, S. Kundu, R. Mahapatra, S. Manasi, S. Sapatnekar, Z. Wang, and Z. Zeng. MLCAD, page 119-126. ACM / IEEE, (2022)

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Soroush Nakhaie

Soroush Doostkam

Soroush Sharbati

Soroush Mahjour

Soroush Nasoudi Shoar

Other publications of authors with the same name

A Computational Stack for Cross-Domain Acceleration.S. Kinzer, J. Kim, S. Ghodrati, B. Yatham, A. Althoff, D. Mahajan, S. Lerner, and H. Esmaeilzadeh. HPCA, page 54-70. IEEE, (2021)Accelerating attention through gradient-based learned runtime pruning.Z. Li, S. Ghodrati, A. Yazdanbakhsh, H. Esmaeilzadeh, and M. Kang. ISCA, page 902-915. ACM, (2022)In-Storage Domain-Specific Acceleration for Serverless Computing.R. Mahapatra, S. Ghodrati, B. Ahn, S. Kinzer, S. Wang, H. Xu, L. Karthikeyan, H. Sharma, A. Yazdanbakhsh, M. Alian and 1 other author(s). ASPLOS (2), page 530-548. ACM, (2024)Tandem Processor: Grappling with Emerging Operators in Neural Networks.S. Ghodrati, S. Kinzer, H. Xu, R. Mahapatra, Y. Kim, B. Ahn, D. Wang, L. Karthikeyan, A. Yazdanbakhsh, J. Park and 2 other author(s). ASPLOS (2), page 1165-1182. ACM, (2024)Thesios: Synthesizing Accurate Counterfactual I/O Traces from I/O Samples.P. Phothilimthana, S. Kadekodi, S. Ghodrati, S. Moon, and M. Maas. ASPLOS (3), page 1016-1032. ACM, (2024)VeriGOOD-ML: An Open-Source Flow for Automated ML Hardware Synthesis.H. Esmaeilzadeh, S. Ghodrati, J. Gu, S. Guo, A. Kahng, J. Kim, S. Kinzer, R. Mahapatra, S. Manasi, E. Mascarenhas and 6 other author(s). ICCAD, page 1-7. IEEE, (2021)Restoring the Broken Covenant Between Compilers and Deep Learning Accelerators.S. Kinzer, S. Ghodrati, R. Mahapatra, B. Ahn, E. Mascarenhas, X. Li, J. Matai, L. Zhang, and H. Esmaeilzadeh. CoRR, (2023)Bit-Parallel Vector Composability for Neural Acceleration.S. Ghodrati, H. Sharma, C. Young, N. Kim, and H. Esmaeilzadeh. DAC, page 1-6. IEEE, (2020)Physically Accurate Learning-based Performance Prediction of Hardware-accelerated ML Algorithms.H. Esmaeilzadeh, S. Ghodrati, A. Kahng, J. Kim, S. Kinzer, S. Kundu, R. Mahapatra, S. Manasi, S. Sapatnekar, Z. Wang and 1 other author(s). MLCAD, page 119-126. ACM / IEEE, (2022)MESA: Microarchitecture Extensions for Spatial Architecture Generation.D. Wang, J. Lou, N. Jin, E. Mascarenhas, R. Mahapatra, S. Kinzer, S. Ghodrati, A. Yazdanbakhsh, H. Esmaeilzadeh, and N. Kim. ISCA, page 49:1-49:14. ACM, (2023)

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Disambiguation of "Ghodrati, Soroush"

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Physically Accurate Learning-based Performance Prediction of Hardware-accelerated ML Algorithms.

Please choose a person to relate this publication to

Soroush Nakhaie

Soroush Doostkam

Soroush Sharbati

Soroush Mahjour

Soroush Nasoudi Shoar

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Ghodrati, Soroush"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Physically Accurate Learning-based Performance Prediction of Hardware-accelerated ML Algorithms.

Please choose a person to relate this publication to

Soroush Nakhaie

Soroush Doostkam

Soroush Sharbati

Soroush Mahjour

Soroush Nasoudi Shoar

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
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Physically Accurate Learning-based Performance Prediction of Hardware-accelerated ML Algorithms.