Eduardo Berrocal

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Next-generation supercomputers are expected to have more components and, at the same time, consume several times less energy per operation. Consequently, the number of soft errors is expected to increase dramatically in the coming years. In this respect, techniques that leverage certain properties of iterative HPC applications (such as the <i>smoothness</i>(More)
We have developed Lynx ( web-based database and a knowledge extraction engine, supporting annotation and analysis of experimental data and generation of weighted hypotheses on molecular mechanisms contributing to human phenotypes and disorders of interest. Its underlying knowledge base (LynxKB) integrates various classes of(More)
The silent data corruption (SDC) problem is attracting more and more attentions because it is expected to have a great impact on exascale HPC applications. SDC faults are hazardous in that they pass unnoticed by hardware and can lead to wrong computation results. In this work, we formulate SDC detection as a runtime one-step-ahead prediction method,(More)
Mean Time Between Failures (MTBF), now calculated in days or hours, is expected to drop to minutes on exascale machines. The advancement of resilience technologies greatly depends on a deeper understanding of faults arising from hardware and software components. This understanding has the potential to help us build better fault tolerance technologies. For(More)
Supercomputers with ever increasing computing power are being built for scientific applications. As the system size scales up, so does the size of interconnect network. As a result, communication in supercomputers becomes increasingly expensive due to the long distance between nodes and network contention. Topology mapping, which maps parallel application(More)
Although the storage capacity is rapidly increasing, the size of datasets is also ever-growing, especially for those workflows in HPC that perform the parameter sweep studies. Consequently, the deadlock caused by the storage competition between concurrent workflow instances is still a major pragmatic concern and storage management remains important for high(More)
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