About Alejandro Díaz-Caro

Profesor Adjunto @ UNQ Investigador Asistente @ CONICET

Course “Probabilistic Análisis of Algorithms” at UBA by J. Clement, L. Lothe, and E. Casaratto

A new course for graduate and undergraduate level will take place at Computer Science Department, School of Exact and Natural Sciences, University of Buenos Aires:
Probabilistic Análisis of Algorithms
26 October to 23 November 2018
Professors:

  • Julien Clement (Laboratoire GREYC – Université de Caen)
  • Loïck Lothe (Université de Caen)
  • Eda Cesaratto (Universidad Nacional General Sarmiento)

Elisa Orduna defends her licenciatura thesis at UBA – Jule 19, 2018

On July 19, 2018 Elisa Orduna defends her “Tesis de Licenciatura en Ciencias de la Computación” (eq. Masters in the EU system) at the Computer Science Department, School of Exact and Natural Sciences, University of Buenos Aires

Title: Preservation of normality in transducers.
Directors: Verónica Becher (Argentina) and Olivier Carton (France).
Evaluation committee: Sergio Abriola and Santiago Figueira

Gervasio Perez obtained his PhD

Gervasio Perez obtained his PhD in Computer Science on April 18, 2018, at Universidad de Buenos Aires under the direction of Sergio Yovine (UBA/CONICET).

Title: Specification, design and implementation of a pattern-based concurrent programming environment

Abstract: Developing correct and efficient parallel software in a cost-effective way is challenging. There are a number of pitfalls that lead to incorrect behaviors and poor performance. Pattern-based software design could help achieving correctness and scalability. However, it has several drawbacks: (a) most patterns are not broadly supported by current parallel-programming models and languages; (b) most often than not getting the appropriate pattern right is difficult; and (c) most patterns do not compose easily, thus making it hard to deal with heterogeneous parallelism.
As an attempt to overcoming these issues, the contribution of this thesis is threefold. First, it proposes a parallel-programming pattern, called PCR [43], consisting of producers, consumers, and reducers which operate concurrently on data sets. To favor correctness, the semantics of PCRs is mathematically defined in terms of the formalism FXML . PCRs are shown to be composable and to seamlessly subsume other well-known parallel-programming patterns, thus providing a framework for heterogeneous designs. Second, it formally shows how the PCR pattern can be correctly implemented in terms of a more concrete parallel execution model. Third, it proposes a platform-agnostic C++ template library to express PCRs . It briefly presents a prototype compiler based on C++ template re-writing which automatically generates distributed implementations relying on the Intel Concurrent Collections C++ library. The programming and code-generation suite is illustrated through several case studies. Overall, the proposed framework provides means to enhance parallel software quality and productivity through an automated methodology based on high-level, platform-independent programming constructs, and a compiling infrastructure to generate portable, executable code.