RT Journal Article T1 Refactoring software to heterogeneous parallel platforms A1 García Sánchez, José Daniel AB In summary, the papers included in this special issue are representative of the progress achieved by the research community at various levels from the very high level using parallel patterns to lower levels using, for example, transactional software memory. Also the integration of GPUs and FPGAs in the landscape is essential to achieve better performance in different categories of applications. All these innovative research directions will contribute to better achieve the long-term goal of better refactoring of existing applications to new and evolving parallel heterogeneous architectures. PB Springer SN 0920-8542 YR 2019 FD 2019-08-16 LK https://hdl.handle.net/10016/33716 UL https://hdl.handle.net/10016/33716 LA eng DS e-Archivo RD 27 jul. 2024