Conjugate gradient solvers on Intel Xeon Phi and NVIDIA GPUs
Kaczmarek O, Schmidt C, Steinbrecher P, Wagner M (2015)
In: Proceedings, GPU Computing in High-Energy Physics (GPUHEP2014) : Pisa, Italy, September 10-12, 2014. Bonati C, Lamanna G, D'Elia M, Sozzi M (Eds); 157-162.
Konferenzbeitrag
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Autor*in
Herausgeber*in
Bonati, Claudio;
Lamanna, Gianluca;
D'Elia, Massimo;
Sozzi, Marco
Abstract / Bemerkung
Lattice Quantum Chromodynamics simulations typically spend most of theruntime in inversions of the Fermion Matrix. This part is therefore frequentlyoptimized for various HPC architectures. Here we compare the performance of theIntel Xeon Phi to current Kepler-based NVIDIA Tesla GPUs running a conjugategradient solver. By exposing more parallelism to the accelerator throughinverting multiple vectors at the same time, we obtain a performance greaterthan 300 GFlop/s on both architectures. This more than doubles the performanceof the inversions. We also give a short overview of the Knights Cornerarchitecture, discuss some details of the implementation and the effortrequired to obtain the achieved performance.
Erscheinungsjahr
2015
Titel des Konferenzbandes
Proceedings, GPU Computing in High-Energy Physics (GPUHEP2014) : Pisa, Italy, September 10-12, 2014
Seite(n)
157-162
Konferenz
GPU Computing in High-Energy Physics (GPUHEP2014)
Konferenzort
Pisa, Italy
Konferenzdatum
2014-09-10 – 2014-09-12
Page URI
https://pub.uni-bielefeld.de/record/2713048
Zitieren
Kaczmarek O, Schmidt C, Steinbrecher P, Wagner M. Conjugate gradient solvers on Intel Xeon Phi and NVIDIA GPUs. In: Bonati C, Lamanna G, D'Elia M, Sozzi M, eds. Proceedings, GPU Computing in High-Energy Physics (GPUHEP2014) : Pisa, Italy, September 10-12, 2014. 2015: 157-162.
Kaczmarek, O., Schmidt, C., Steinbrecher, P., & Wagner, M. (2015). Conjugate gradient solvers on Intel Xeon Phi and NVIDIA GPUs. In C. Bonati, G. Lamanna, M. D'Elia, & M. Sozzi (Eds.), Proceedings, GPU Computing in High-Energy Physics (GPUHEP2014) : Pisa, Italy, September 10-12, 2014 (pp. 157-162).
Kaczmarek, Olaf, Schmidt, Christian, Steinbrecher, Patrick, and Wagner, Mathias. 2015. “Conjugate gradient solvers on Intel Xeon Phi and NVIDIA GPUs”. In Proceedings, GPU Computing in High-Energy Physics (GPUHEP2014) : Pisa, Italy, September 10-12, 2014, ed. Claudio Bonati, Gianluca Lamanna, Massimo D'Elia, and Marco Sozzi, 157-162.
Kaczmarek, O., Schmidt, C., Steinbrecher, P., and Wagner, M. (2015). “Conjugate gradient solvers on Intel Xeon Phi and NVIDIA GPUs” in Proceedings, GPU Computing in High-Energy Physics (GPUHEP2014) : Pisa, Italy, September 10-12, 2014, Bonati, C., Lamanna, G., D'Elia, M., and Sozzi, M. eds. 157-162.
Kaczmarek, O., et al., 2015. Conjugate gradient solvers on Intel Xeon Phi and NVIDIA GPUs. In C. Bonati, et al., eds. Proceedings, GPU Computing in High-Energy Physics (GPUHEP2014) : Pisa, Italy, September 10-12, 2014. pp. 157-162.
O. Kaczmarek, et al., “Conjugate gradient solvers on Intel Xeon Phi and NVIDIA GPUs”, Proceedings, GPU Computing in High-Energy Physics (GPUHEP2014) : Pisa, Italy, September 10-12, 2014, C. Bonati, et al., eds., 2015, pp.157-162.
Kaczmarek, O., Schmidt, C., Steinbrecher, P., Wagner, M.: Conjugate gradient solvers on Intel Xeon Phi and NVIDIA GPUs. In: Bonati, C., Lamanna, G., D'Elia, M., and Sozzi, M. (eds.) Proceedings, GPU Computing in High-Energy Physics (GPUHEP2014) : Pisa, Italy, September 10-12, 2014. p. 157-162. (2015).
Kaczmarek, Olaf, Schmidt, Christian, Steinbrecher, Patrick, and Wagner, Mathias. “Conjugate gradient solvers on Intel Xeon Phi and NVIDIA GPUs”. Proceedings, GPU Computing in High-Energy Physics (GPUHEP2014) : Pisa, Italy, September 10-12, 2014. Ed. Claudio Bonati, Gianluca Lamanna, Massimo D'Elia, and Marco Sozzi. 2015. 157-162.
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