Daniel Peroni

Orcid: 0000-0002-1580-9473

Affiliations:
  • University of California at San Diego, La Jolla, USA


According to our database1, Daniel Peroni authored at least 11 papers between 2017 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2020
Runtime Efficiency-Accuracy Tradeoff Using Configurable Floating Point Multiplier.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

Data Reuse for Accelerated Approximate Warps.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

2019
Approximate Computing for GPGPU Acceleration.
PhD thesis, 2019

Resistive CAM Acceleration for Tunable Approximate Computing.
IEEE Trans. Emerg. Top. Comput., 2019

ARGA: Approximate Reuse for GPGPU Acceleration.
Proceedings of the 56th Annual Design Automation Conference 2019, 2019

ALook: adaptive lookup for GPGPU acceleration.
Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019

2018
Nvalt: Nonvolatile Approximate Lookup Table for GPU Acceleration.
IEEE Embed. Syst. Lett., 2018

Program acceleration using nearest distance associative search.
Proceedings of the 19th International Symposium on Quality Electronic Design, 2018

CANNA: Neural network acceleration using configurable approximation on GPGPU.
Proceedings of the 23rd Asia and South Pacific Design Automation Conference, 2018

2017
Efficient neural network acceleration on GPGPU using content addressable memory.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017

CFPU: Configurable Floating Point Multiplier for Energy-Efficient Computing.
Proceedings of the 54th Annual Design Automation Conference, 2017


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