The goal of the new design is to increase the computational intensity of the major compute kernels and to reduce synchronization and data transfers between GPUs ...
... hybrid. CPU-GPU generalized eigensolver for electronic structure calculations based on fine grained memory aware tasks. International Journal of High ...
Jun 9, 2014 · Leading Edge Hybrid Multi-GPU Algorithms for Generalized Eigenproblems in Electronic Structure Calculations ; Year of Publication, 2013 ; Authors ...
TL;DR: A set of leading edge dense linear algebra algorithms are developed as part of a generalized eigensolver, featuring fine grained memory aware kernels ...
A novel hybrid CPU–GPU generalized eigensolver for electronic structure calculations based on fine-grained memory aware tasks · 36 Citations · 34 References.
Leading Edge Hybrid Multi-GPU Algorithms for Generalized Eigenproblems in Electronic Structure Calculations. Conference Paper. Jun 2013. Azzam ...
Tomov, J. Dongarra, R. Solcà, and T. C. Schulthess, “Leading Edge Hybrid Multi-GPU Algorithms for Generalized Eigenproblems in Electronic Structure Calculations ...
A novel hybrid CPU-GPU generalized eigensolver for electronic structure calculations based on fine grained memory aware tasks. International Journal of High ...
MAGMA uses hybrid algorithms where the computation is split into tasks of varying granularity and their execution scheduled over the hardware components. ...
The adoption of hybrid CPU–GPU nodes in traditional supercomputing platforms such as the Cray-XK6 opens acceleration opportunities for electronic structure ...