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Disambiguation of "Yazdanbakhsh, Amir"

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General-purpose code acceleration with limited-precision analog computation.

, , , , , , , and . ISCA, page 505-516. IEEE Computer Society, (2014)

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Nima Yazdanbakhsh

Pedram Yazdanbakhsh

Manutschehr Amirfeyz

Mahmud Amirian-Khaffadjeh

Iradj Amirzadeh-Asl

 

Other publications of authors with the same name

ReLeQ: A Reinforcement Learning Approach for Deep Quantization of Neural Networks., , , , and . CoRR, (2018)Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation., , , and . ICLR, OpenReview.net, (2020)RFVP: Rollback-Free Value Prediction with Safe-to-Approximate Loads., , , , , and . ACM Trans. Archit. Code Optim., 12 (4): 62:1-62:26 (2016)Progressive Gradient Flow for Robust N: M Sparsity Training in Transformers., , , , , , and . CoRR, (2024)Mitigating the Memory Bottleneck With Approximate Load Value Prediction., , , , , and . IEEE Des. Test, 33 (1): 32-42 (2016)Neuro-general computing an acceleration-approximation approach.. Georgia Institute of Technology, Atlanta, GA, USA, (2018)base-search.net (ftgeorgiatech:oai:smartech.gatech.edu:1853/60224).Accelerating attention through gradient-based learned runtime pruning., , , , and . ISCA, page 902-915. ACM, (2022)AxMemo: hardware-compiler co-design for approximate code memoization., , , , and . ISCA, page 685-697. ACM, (2019)Towards the Co-design of Neural Networks and Accelerators., , , , , , , , , and . MLSys, mlsys.org, (2022)Architecture 2.0: Challenges and Opportunities., and . DAC, page 1-2. IEEE, (2023)