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)
We investigated whether 2-chlorodexoyadenosine could induce apoptosis in B cell chronic lymphocytic leukemia (B-CLL) cells in vitro using clinically achievable drug doses, measuring apoptosis ratio by flow cytometry. B cells were isolated from previously untreated patients and apoptosis was measured in these cells immediately after isolation and following(More)
Communications to the Editor reports emanating from the Third ACCP Consensus Conference on Antithrombotic Therapy, which is a valuable reference issue. I was particularly interested in the article on antithrombotic therapy in atrial fibrillation’ and would like to know the authors’ opinion on the role of warfarin in paroxysmal atrial fibrillation. Since the(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)
Recent technological advances in genomics now allow producing biological data at unprecedented tera- and petabyte scales. Yet, the extraction of useful knowledge from this voluminous data presents a significant challenge to a scientific community. Efficient mining of vast and complex data sets for the needs of biomedical research critically depends on(More)
Since rheumatoid arthritis (RA) and psoriatic arthritis (PA) are common diseases, there should be a group of patients in which the two entities coexist, with an estimated prevalence ranging from 0.03/10,000 to 0.15/10,000. The two entities may share clinical, analytic and radiologic features that further complicate the diagnosis. We report here a patient in(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)