BSC International Doctoral Symposium

 

The aim of the International Doctoral Symposium is to provide a forum in which PhD students and PostDoc researchers can present the results of their research work. To reach these goals, the attending PhD students and PostDoc researchers will share their experience and findings through talks, poster sessions and discussions. The symposium also includes trainings focused on career development with lectures on research and functioning skills such as how to develop a good presentation, improve the academic writing and IPR issues. Published by: Barcelona Supercomputing Center Supported by: The “Severo Ochoa Centres of Excellence" programme

Recent Submissions

  • Hyperparameter optimization using agents for large scale machine learning 

    Vergés Boncompte, Pere; Vlassov, Vladimir; Badia, Rosa M. (2022-05)
    Conference report
    Open Access
    Machine learning (ML) has become an essential tool for humans to get rational predictions in different aspects of their lives. Hyperparameter algorithms are a tool for creating better ML models. The hyperparameter algorithms ...

  • Investigating memory prefetcher performance over parallel applications: from real to simulated 

    Girelli, Valéria S.; Moreira, Francis B.; Serpa, Matheus S.; Santos, Danilo C.; Navaux, Philippe O. A. (2022-05)
    Conference report
    Open Access
    In recent years, there have been significant advances in the performance of processors, exemplified by the reduction of transistor size and the increase in the number of cores in a processor. Conversely, the memory subsystem ...

  • Exploring the recent evolution of yeast pathogens using the CandidaMine database 

    Schikora-Tamarit, Miquel Àngel; Gabaldón#, Toni (2022-05)
    Conference report
    Open Access
    Advances in medicine (such as chemotherapy or transplants) have extended the life expectancy of patients at the cost of impairing their immune system. This has generated an increasing population of patients highly susceptible ...

  • JLOH: extracting loss of heterozygosity blocks from short-read sequencing data 

    Schiavinato, Matteo; del Olmo, Valentina; Gabaldón, Toni (2022-05)
    Conference report
    Open Access
    Loss of heterozygosity (LOH) happens when a heterozygous genome loses one of the two alleles at a locus. This may have an evolutionary advantage in highly unstable genomes such as those of hybrids (Smukowski Heil et al., ...

  • RosneT: a block tensor algebra library for out-of-core quantum computing simulation 

    Sanchez-Ramirez, Sergio; Conejero, Javier; Garcia-Saez, Artur (2022-05)
    Conference report
    Open Access
    With recent Quantum Devices showing increasing capabilities to perform controlled operations, further development on Quantum Algorithms may benefit from Quantum Simulations on classical hardware. Among important applications ...

  • Space shuttle: a test vehicle for the reliability of the SkyWater 130nm PDK using OpenLane and the Google/E-fabless shuttle run for future space systems 

    Rodríguez Ferrández, Iván; Jover-Alvarez, Alvaro; Kosmidis, Leonidas; Steenari, David (2022-05)
    Conference report
    Open Access
    The ASIC industry is experiencing a massive change in the recent years with more and more small and medium business entering the custom ASIC development. This trend is fueled by the recent open hardware movement and relevant ...

  • Non-reacting large eddy simulation of a low swirl burner 

    Rodrigues, Fredherico; Garíıa-Oliver, José Maria; Mira Martínez, Daniel (2022-05)
    Conference report
    Open Access
    Reduction of the emission of pollutants is one of the main concerns in the study of combustion today. Thermal NOx for example, is generated when high temperatures are achieved in the combustion process. The use of Lean ...

  • CSDownscale: an R package for statistical downscaling 

    Ramón, Jaume; Lledó, Llorenç; Palma, Lluís; Delgado-Torres, Carlos; Marcos, Raül (2022-05)
    Conference report
    Open Access
    Downscaling is any procedure to infer highresolution information from low-resolution variables. Many of these techniques have been defined and applied to climate predictions, which suffer from important biases due to the ...

  • Transcriptome analysis of differential gene expression in disease 

    Ramirez, Jose Miguel; García-Pérez, Raquel; Melé, Marta (2022-05)
    Conference report
    Open Access
    Many diseases strongly impact the human transcriptome at the gene expression level [1]. However, previous work has focused on accessible tissues [2], and has not incorporated the effect of demographic traits, known risk ...

  • Experimental analysis on the NXP’s T2080 cache coherence: a step towards MPSoCs in critical systems 

    Pujol, Roger; Hassan, Mohamed; Cazorla Almeida, Francisco Javier (2022-05)
    Conference report
    Open Access
    The adoption of complex MPSoCs in critical real-time embedded systems [1], [2] mandates a detailed analysis of their architecture to facilitate certification [3]. This analysis is hindered by the lack of a thorough ...

  • Development of corrections for the absolute free binding energy prediction 

    Puch-Giner, Ignasi; Municoy Terol, Martí; Guallar, Victor (2022-05)
    Conference report
    Open Access
    The early stages of drug design rely on hit discovery programs, where initial possible inhibitors’ binding affinities are assessed when bound to their biological target. It is an expensive and time-consuming process, ...

  • HBM, present and future of HPC based on FPGAs 

    Perdomo Hourné, Elias A.; Cervero, Teresa; Martorell Bofill, Xavier (2022-05)
    Conference report
    Open Access
    In the past decades, advances in the speed of commodity CPUs have far out-paced advances in memory latency. Mainmemory access is therefore increasingly a performance bottleneck for many computer applications, including HPC ...

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