Soft error resilience of Big Data kernels through algorithmic approaches-Reference-Cited by-同舟云学术

Soft error resilience of Big Data kernels through algorithmic approaches

Author:

LeCompte Travis,Legrand Walker,Chen Sui,Peng Lu

Funder

Directorate for Computer and Information Science and Engineering

Division of Computing and Communication Foundations

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Link

Reference32 articles.

1. Christoforides A (2011) Metropolis–Hastings implementation. https://github.com/alexischr/mh

2. IBM’s Big Data Platform and Decision Management (2012) What is big data? http://www-01.ibm.com/software/data/bigdata/what-is-big-data.html

3. Gordon R (2013) http://math.stackexchange.com/questions/346894/prove-of-the-parsevals-theorem-for-discrete-fourier-transform-dft

4. Sharma V, Haran A, Chen S (2013) Kulfi fault injector. http://github.com/quadpixels/kulfi

5. AMPLab at University of California, Berkeley (2014) AMPLab big data benchmark. https://amplab.cs.berkeley.edu/benchmark/

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