Inter-professional partnership: a case study

O estudo caso apresentado neste artigo aborda a colaboração entre profissionais de múltiplas áreas disciplinares. Este estudo descreve como foi realizada a parceria entre a equipa de enfermagem e a equipa de psicologia clinica nas visitas domiciliárias com familias em risco. Igualmente, discute as dificuldades enfrentadas quando os profissionais não partilhavam os mesmos modelos de praticas colaborativas.

Sparse matrix multiplication on a reconfigurable many-core architecture

Sparse matrix-vector multiplication (SMVM) is a fundamental operation in many scientific and engineering applications. In many cases sparse matrices have thousands of rows and columns where most of the entries are zero, while non-zero data is spread over the matrix. This sparsity of data locality reduces the effectiveness of data cache in general-purpose processors quite reducing their performance efficiency when compared to what is achieved with dense matrix multiplication. In this paper, we propose a parallel processing solution for SMVM in a many-core architecture. The architecture is tested with known benchmarks using a ZYNQ-7020 FPGA. The architecture is scalable in the number of core elements and limited only by the available memory bandwidth. It achieves performance efficiencies up to almost 70% and better performances than previous FPGA designs.