Laura M. Grupp

According to our database1, Laura M. Grupp authored at least 13 papers between 2009 and 2013.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2013
Modeling Power Consumption of NAND Flash Memories Using FlashPower.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2013

The Harey Tortoise: Managing Heterogeneous Write Performance in SSDs.
Proceedings of the 2013 USENIX Annual Technical Conference, 2013

Underpowering NAND flash: profits and perils.
Proceedings of the 50th Annual Design Automation Conference 2013, 2013

2012
Tackling intracell variability in TLC Flash through tensor product codes.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Characterization and error-correcting codes for TLC flash memories.
Proceedings of the International Conference on Computing, Networking and Communications, 2012

The bleak future of NAND flash memory.
Proceedings of the 10th USENIX conference on File and Storage Technologies, 2012

2011
Extracting Device Fingerprints from Flash Memory by Exploiting Physical Variations.
Proceedings of the Trust and Trustworthy Computing - 4th International Conference, 2011

Reliably Erasing Data from Flash-Based Solid State Drives.
Proceedings of the 9th USENIX Conference on File and Storage Technologies, 2011

Understanding the impact of power loss on flash memory.
Proceedings of the 48th Design Automation Conference, 2011

NV-Heaps: making persistent objects fast and safe with next-generation, non-volatile memories.
Proceedings of the 16th International Conference on Architectural Support for Programming Languages and Operating Systems, 2011

2010
Gordon: An Improved Architecture for Data-Intensive Applications.
IEEE Micro, 2010

2009
Characterizing flash memory: anomalies, observations, and applications.
Proceedings of the 42st Annual IEEE/ACM International Symposium on Microarchitecture (MICRO-42 2009), 2009

Gordon: using flash memory to build fast, power-efficient clusters for data-intensive applications.
Proceedings of the 14th International Conference on Architectural Support for Programming Languages and Operating Systems, 2009


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