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Axilog: Abstractions for Approximate Hardware Design and Reuse.

D. Mahajan, K. Ramkrishnan, R. Jariwala, A. Yazdanbakhsh, J. Park, B. Thwaites, A. Nagendrakumar, A. Rahimi, H. Esmaeilzadeh, and K. Bazargan. IEEE Micro, 35 (5): 16-30 (2015)

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Amir Laadhar University of Stuttgart

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Mitigating the Memory Bottleneck With Approximate Load Value Prediction.A. Yazdanbakhsh, B. Thwaites, H. Esmaeilzadeh, G. Pekhimenko, O. Mutlu, and T. Mowry. IEEE Design & Test, 33 (1): 32-42 (2016)Energy-aware design space exploration of registerfile for extensible processors.A. Yazdanbakhsh, M. Kamal, M. Salehi, H. Noori, and S. Fakhraie. ICSAMOS, page 273-281. IEEE, (2010)RFVP: Rollback-Free Value Prediction with Safe-to-Approximate Loads.A. Yazdanbakhsh, G. Pekhimenko, B. Thwaites, H. Esmaeilzadeh, O. Mutlu, and T. Mowry. TACO, 12 (4): 62:1-62:26 (2016)ReLeQ: A Reinforcement Learning Approach for Deep Quantization of Neural Networks.A. Elthakeb, P. Pilligundla, A. Yazdanbakhsh, S. Kinzer, and H. Esmaeilzadeh. CoRR, (2018)Neuro-general computing an acceleration-approximation approach.A. Yazdanbakhsh. Georgia Institute of Technology, Atlanta, GA, USA, (2018)base-search.net (ftgeorgiatech:oai:smartech.gatech.edu:1853/60224).AxMemo: hardware-compiler co-design for approximate code memoization.Z. Liu, A. Yazdanbakhsh, D. Wang, H. Esmaeilzadeh, and N. Kim. ISCA, page 685-697. ACM, (2019)A new merit function for custom instruction selection under an area budget constraint.M. Kamal, A. Yazdanbakhsh, H. Noori, A. Afzali-Kusha, and M. Pedram. Design Autom. for Emb. Sys., 17 (1): 1-25 (2013)General-purpose code acceleration with limited-precision analog computation.R. Amant, A. Yazdanbakhsh, J. Park, B. Thwaites, H. Esmaeilzadeh, A. Hassibi, L. Ceze, and D. Burger. ISCA, page 505-516. IEEE Computer Society, (2014)Grater: An approximation workflow for exploiting data-level parallelism in FPGA acceleration.A. Lotfi, A. Rahimi, A. Yazdanbakhsh, H. Esmaeilzadeh, and R. Gupta. DATE, page 1279-1284. IEEE, (2016)TABLA: A unified template-based framework for accelerating statistical machine learning.D. Mahajan, J. Park, E. Amaro, H. Sharma, A. Yazdanbakhsh, J. Kim, and H. Esmaeilzadeh. HPCA, page 14-26. IEEE Computer Society, (2016)

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Disambiguation of "Yazdanbakhsh, Amir"

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Axilog: Abstractions for Approximate Hardware Design and Reuse.

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Amir Laadhar University of Stuttgart

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Disambiguation of "Yazdanbakhsh, Amir"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Axilog: Abstractions for Approximate Hardware Design and Reuse.

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Amir Laadhar University of Stuttgart

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Axilog: Abstractions for Approximate Hardware Design and Reuse.