Ping Chi

According to our database1, Ping Chi authored at least 12 papers between 2010 and 2017.

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

Timeline

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Links

On csauthors.net:

Bibliography

2017
Approximate image storage with multi-level cell STT-MRAM main memory.
Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017

Building energy-efficient multi-level cell STT-RAM caches with data compression.
Proceedings of the 22nd Asia and South Pacific Design Automation Conference, 2017

2016
Adapting B<sup>+</sup> -Tree for Emerging Nonvolatile Memory-Based Main Memory.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2016

NEUTRAMS: Neural network transformation and co-design under neuromorphic hardware constraints.
Proceedings of the 49th Annual IEEE/ACM International Symposium on Microarchitecture, 2016

PRIME: A Novel Processing-in-Memory Architecture for Neural Network Computation in ReRAM-Based Main Memory.
Proceedings of the 43rd ACM/IEEE Annual International Symposium on Computer Architecture, 2016

Architecture design with STT-RAM: Opportunities and challenges.
Proceedings of the 21st Asia and South Pacific Design Automation Conference, 2016

2015
Memory and Storage System Design with Nonvolatile Memory Technologies.
IPSJ Trans. Syst. LSI Des. Methodol., 2015

Leveraging nonvolatility for architecture design with emerging NVM.
Proceedings of the IEEE Non-Volatile Memory System and Applications Symposium, 2015

2014
Building energy-efficient multi-level cell STT-MRAM based cache through dynamic data-resistance encoding.
Proceedings of the Fifteenth International Symposium on Quality Electronic Design, 2014

Making B<sup>+</sup>-tree efficient in PCM-based main memory.
Proceedings of the International Symposium on Low Power Electronics and Design, 2014

Using multi-level cell STT-RAM for fast and energy-efficient local checkpointing.
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2014

2010
MDCT spectrum separation: Catching the fine spectral structures for stereo coding.
Proceedings of the IEEE International Conference on Acoustics, 2010


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