Argonne National Laboratory

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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”, 2017.

2016

P. Guhur, Cappello, F., Peterka, T., and Abou-Kandil, H., “Using Error Estimations for Detecting Silent Data Corruption in Numerical Integration Solvers”, 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.

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

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.
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.

2013

F. Cappello, Bouteiller, A., Herault, T., and Robert, Y., “Multi-Criteria Checkpointing Strategies: Optimizing Response-Time Versus Resource Utilization”, in Europar 2013, Aachen, 2013.
L. A. Bautist Gomez and Cappello, F., “Detecting Silent Data Corruption through Data Dynamic Monitoring for Scientific Applications”, in 19th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Orlando, FL, 2013.