About me

I am currently a PhD candidate at UCSD researching novel computational methods with the Systems Energy Efficiency Lab (SeeLab), My research interests include approximate computing, GPU acceleration, and novel hardware for neural network optimization.

CV English

• (2019) ARGA: Approximate Reuse for GPGPU Acceleration”, IEEE/ACM Design Automation Conference (DAC), D. Peroni, M. Imani, H. Nejatollahi, N. Dutt, T. Rosing

• (2019) ALook: Adaptive Lookup for GPGPU Acceleration," 2019 24th Asia and South Pacific Design Automation Conference (ASP-DAC), D. Peroni, M. Imani, T. Rosing

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• (2018) “Runtime Efficiency-Accuracy Trade-off Using Configurable Floating Point Multiplier”, EEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), D. Peroni, M. Imani, T. Rosing

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• (2018) CANNA: Neural network acceleration using configurable approximation on GPGPU," 2018 23rd Asia and South Pacific Design Automation Conference (ASP-DAC), M. Imani, M. Masich, D. Peroni, D. Peroni, T. Rosing

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• (2018) Program Acceleration Using Nearest Distance Associative Search,'' IEEE International Symposium on Quality Electronic Design (ISQED), M. Imani, D. Peroni, T. Rosing

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• (2017) “Resistive CAM Acceleration for Tunable Approximate Computing” IEEE Transactions on Emerging Topics in Computing (TETC), M. Imani, D. Peroni, A. Rahimi, T. Rosing

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• (2017) NVALT: Approximate Lookup Table for GPU Acceleration”, IEEE Embedded System Letter (ESL), M. Imani, D. Peroni, T. Rosing

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• (2017) CFPU: Configurable Floating Point Multiplier for Energy-Efficient Computing”, IEEE/ACM Design Automation Conference (DAC), M. Imani, D. Peroni, T. Rosing

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• (2017) “Non-volatile Content Addressable Memory for Computing Acceleration” Non-Volatile Memory Workshop (NVMW), M. Imani, D. Peroni, T. Rosing

• (2017) "Efficient Neural Network Acceleration on GPGPU using Content Addressable Memory," IEEE/ACM Design Automation and Test in Europe Conference (DATE), M. Imani, D. Peroni, Y. Kim, A. Rahimi and T. Rosing

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• (2016) “Resistive CAM Acceleration for Tunable Approximate Computing” in IEEE International Conference on Computer Design (ICCD), M. Imani, D. Peroni, A. Rahimi, T. Rosing,

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• dperoni@eng.ucsd.edu
• 530 391 5887
• Room 2148, Computer Science and Engineering Building, La Jolla, CA 92093