4 citations · 14 across the 16 of their papers we have counts for
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cs.CE2016
Hybrid CPU-GPU generation of the Hamiltonian and Overlap matrices in FLAPW methods
Diego Fabregat-Traver, Davor Davidović, Markus Höhnerbach +1
In this paper we focus on the integration of high-performance numerical libraries in ab initio codes and the portability of performance and scalability. The target of our work is F…
cs.CE2016★ 1 cited
Accelerating scientific codes by performance and accuracy modeling
Diego Fabregat-Traver, Ahmed E. Ismail, Paolo Bientinesi
Scientific software is often driven by multiple parameters that affect both accuracy and performance. Since finding the optimal configuration of these parameters is a highly comple…