A Case Study of OpenMP applied to Map/Reduce-style Computations

As data analytics are growing in importance they are also quickly becoming one of the dominant application domains that require parallel processing. This paper investigates the applicability of OpenMP, the dominant shared-memory parallel programming model in high-performance computing, to the domain of data analytics. We contrast the performance and programmability of key data analytics benchmarks against Phoenix++, a state-of-the-art shared memory map/reduce programming system. Our study shows that OpenMP outperforms the Phoenix++ system by a large margin for several benchmarks. In other cases, however, the programming model is lacking support for this application domain.

CV workshop - Projecting a professional image

Slides and activity sheets to accompany a set of practical workshop activities which help participants identify some of their individual skills, as the basis for a future coursework to produce a CV

The Work and Workshop of the Master of the Rajhrad Altarpiece

The main aim of this project was to verify the possibility raised in the publication of new archival data in 1980 that the group of panel paintings attributed to the Master of the Rajhrad Altarpiece and his workshop were not created before 1420, as earlier academic opinion held, but in fact only around 1450. It included a detailed analysis of the 21 panels forming the group, including infrared reflectography research. This helped identify the highly personal underdrawing style of the "Rajhrad Master" as common to all the panels in the group, proving that they really form a coherent whole. Questions of the painter's education and the nature of Bohemian society around 1450 were also considered, as. Bartlova felt these had been neglected in earlier studies. She concludes that the Master studied in Prague in the late 1430s and then continued studying in Vienna and Munich from 1440. The new dating of the group of panels connected with this anonymous master and his workshop throws new light on Bohemian artistic production during the late Hussite period (c.1430-c.1470). It was generally thought that artistic activity moved out of Prague after the outbreak of the Hussite wars in the 1420s, but this research revealed considerable activity there throughout the period. Numerous painters listed in the Book of the Prague Painters' Guild for this period can now be linked with extant panels, although most of these have survived outside Prague, principally in South Bohemia. These findings have broad implications for studies of Bohemian art in this period.

Towards speaking style transplantation in speech synthesis

One of the biggest challenges in speech synthesis is the production of naturally sounding synthetic voices. This means that the resulting voice must be not only of high enough quality but also that it must be able to capture the natural expressiveness imbued in human speech. This paper focus on solving the expressiveness problem by proposing a set of different techniques that could be used for extrapolating the expressiveness of proven high quality speaking style models into neutral speakers in HMM-based synthesis. As an additional advantage, the proposed techniques are based on adaptation approaches, which means that they can be used with little training data (around 15 minutes of training data are used in each style for this paper). For the final implementation, a set of 4 speaking styles were considered: news broadcasts, live sports commentary, interviews and parliamentary speech. Finally, the implementation of the 5 techniques were tested through a perceptual evaluation that proves that the deviations between neutral and speaking style average models can be learned and used to imbue expressiveness into target neutral speakers as intended.

Development of a genre-dependent TTS system with cross-speaker speaking-style transplantation

One of the biggest challenges in speech synthesis is the production of contextually-appropriate naturally sounding synthetic voices. This means that a Text-To-Speech system must be able to analyze a text beyond the sentence limits in order to select, or even modulate, the speaking style according to a broader context. Our current architecture is based on a two-step approach: text genre identification and speaking style synthesis according to the detected discourse genre. For the final implementation, a set of four genres and their corresponding speaking styles were considered: broadcast news, live sport commentaries, interviews and political speeches. In the final TTS evaluation, the four speaking styles were transplanted to the neutral voices of other speakers not included in the training database. When the transplanted styles were compared to the neutral voices, transplantation was significantly preferred and the similarity to the target speaker was as high as 78%.