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2017

O. Subasi, Di, S., Balaprakash, P., Unsal, O., Labarta, J., Cristal, A., Krishnamoorthy, S., and Cappello, F., “MACORD: Online Adaptive Machine Learning Framework for Silent Error Detection”, in Cluster Computing (CLUSTER) 2017, Honolulu, HI, 2017.

2016

F. Cappello, Yoshii, K., Finkel, H., and Cong, J., “Re-Form: FPGA-Powered True Codesign Flow for High-Performance Computing In The Post-Moore Era”, in The 2016 Post-Moore’s Era Supercomputing (PMES) Workshop, Salt Lake City, Utah, 2016.
P. Guhur, Zhang, H., Peterka, T., Constantinescu, E. M., and Cappello, F., “Lightweight and Accurate Silent Data Corruption Detection in Ordinary Differential Equation Solvers”, in Euro-Par 2016, Grenoble, France, 2016.
K. Yoshii, Finkel, H., and Cappello, F., “Benchmarking Under the Hood of OpenCL FPGA Platforms”, in 2nd International Workshop on Heterogeneous High-performance Reconfigurable Computing, Salt Lake City, UT, 2016.
P. Guhur, Cappello, F., Peterka, T., and Abou-Kandil, H., “Using Error Estimations for Detecting Silent Data Corruption in Numerical Integration Solvers”, 2016.

2015

F. Cappello, Constantinescu, E. M., Hovland, P. D., Peterka, T., Phillips, C. L., Snir, M., and Wild, S. M., “Improving the Trust in Results of Numerical Simulations and Scientific Data Analytics”, 2015.
L. Bautista-Gomez, Gainaru, A., Perarnau, S., Tiwari, D., Gupta, S., Engelmann, C., Cappello, F., and Snir, M., “Reducing Waste in Large Scale Systems through Introspective Analysis”, in IPDPS 2016, Chicago, IL, 2015.
T. Peterka, Croubois, H., Li, N., Rangel, S., and Cappello, F., “Self-Adaptive Density Estimation of Particle Data”, SIAM Journal on Scientific Computing, 2015.
S. Di and Cappello, F., “Adaptive Impact-Driven Detection of Silent Data Corruption for HPC Applications”, IEEE Transactions on Parallel and Distributed Systems, 2015.
S. Di and Cappello, F., “Fast Error-bounded Lossy HPC Data Compression with SZ”, in IPDPS 2016, Chicago, IL, 2015.

2014

F. Cappello, Geist, A., Gropp, W. D., Kale, S., Kramer, B., and Snir, M., “Toward Exascale Resilience: 2014 Update”, Supercomputing Frontiers and Innovations, vol. 1, no. 1, pp. 1-28, 2014.
S. Di, Kondo, D., and Cappello, F., “Characterizing and Modeling Cloud Applications/Jobs on a Google Data Center”, Journal of Supercomputing, vol. 69, pp. 139-160, 2014.
S. Di, Gomez, L. A. Bautist, and Cappello, F., “Optimization of Multi-level Checkpoint Model with Uncertain Execution Scales”, 2014.
A. Gainaru, Bouguerra, M. S., Cappello, F., Snir, M., and Kramer, W., “Navigating the Blue Waters: Online Failure Prediction in the Petascale Era”, 2014.
L. A. Bautist Gomez, Cappello, F., Carro, L., Debardeleben, N. A., Fang, B., Gurumurthi, S., Pattabiraman, K., Rech, R., and M. Reorda, S., “GPGPUs: How to Combine High Computational Power with High Reliability”, in 2014 Design Automation and Test in Europe Conference and Exhibition, Dresden, Germany, 2014.
S. Di and Cappello, F., “GloudSim: Google Trace Based Cloud Simulator with Virtual Machines”, 2014.
A. Gainaru, Aupy, G., Benoit, A., Cappello, F., Robert, Y., and Snir, M., “Scheduling the I/O of HPC Applications Under Congestion”, 2014.
E. Berrocal, Bautista-Gomez, L., Di, S., Lan, Z., and Cappello, F., “Lightweight Silent Data Corruption Detection Based on Runtime Data Analysis for HPC Applications”, 2014.

2013

B. Nicolae and Cappello, F., “Al-Ckpt: Leveraging Memory Access Patterns for Adaptive Asynchronous Incremental Checkpointing”, in HPDC'13, New York City, 2013.
L. A. Bautist Gomez and Cappello, F., “Improving Floating Point Compression through Binary Masks”, in IEEE BigData 2013, Santa Barbara, California, 2013.