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