DISA

An article titled “Smarter Worksharing” that highlights our research at Linnaeus University appeared in HiPEAC INFO 53 (page 31). This issue of HiPEAC INFO was dedicated to machine learning and AI research in Europe. Sabri Pllana, Linnaeus University, explains how his team is using machine learning for optimal worksharing on heterogeneous computing systems.

HiPEAC is the European Network on High Performance and Embedded Architecture and Compilation. HiPEAC INFO is quarterly published news by HiPEAC.

Further reading suggestions:

Suejb Memeti and Sabri Pllana. ‘A machine learning approach for accelerating DNA sequence analysis’. International Journal of High Performance Computing Applications, published online on June 26, 2016

//Diana