AQUA@home: Difference between revisions

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{{#ev:youtube|VyQgGkj_Rss|700|center|AQUA@home screensaver in action}}

In May 2010, AQUA@home deployed the first [[OpenCL]] application to run under BOINC, allowing its computations to be accelerated across a mix of multicore CPUs and GPUs from different vendors using a single, portable codebase.<ref>{{Cite web |url=https://boinc.berkeley.edu/old_news.php |title=News archive |website=BOINC |access-date=2026-06-27}}</ref> Project researchers subsequently published a direct performance comparison between [[CUDA]] and OpenCL implementations of the same Quantum Monte Carlo computation kernel.<ref>{{Cite journal |last1=Karimi |first1=Kamran |last2=Dickson |first2=Neil |last3=Hamze |first3=Firas |title=A Performance Comparison of CUDA and OpenCL |date=2011-05-16 |url=https://arxiv.org/abs/1005.2581}} DOI: [https://doi.org/10.48550/arXiv.1005.2581 10.48550/ARXIV.1005.2581]</ref>

In May 2010, AQUA@home deployed the first [[wikipedia:OpenCL|OpenCL]] application to run under BOINC, allowing its computations to be accelerated across a mix of multicore CPUs and GPUs from different vendors using a single, portable codebase.<ref>{{Cite web |url=https://boinc.berkeley.edu/old_news.php |title=News archive |website=BOINC |access-date=2026-06-27}}</ref> Project researchers subsequently published a direct performance comparison between [[wikipedia:CUDA|CUDA]] and OpenCL implementations of the same Quantum Monte Carlo computation kernel.<ref>{{Cite journal |last1=Karimi |first1=Kamran |last2=Dickson |first2=Neil |last3=Hamze |first3=Firas |title=A Performance Comparison of CUDA and OpenCL |date=2011-05-16 |url=https://arxiv.org/abs/1005.2581}} DOI: [https://doi.org/10.48550/arXiv.1005.2581 10.48550/ARXIV.1005.2581]</ref>

== Outcome ==

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 {{#ev:youtube|VyQgGkj_Rss|700|center|AQUA@home screensaver in action}}
-In May 2010, AQUA@home deployed the first [[OpenCL]] application to run under BOINC, allowing its computations to be accelerated across a mix of multicore CPUs and GPUs from different vendors using a single, portable codebase.<ref>{{Cite web |url=https://boinc.berkeley.edu/old_news.php |title=News archive |website=BOINC |access-date=2026-06-27}}</ref> Project researchers subsequently published a direct performance comparison between [[CUDA]] and OpenCL implementations of the same Quantum Monte Carlo computation kernel.<ref>{{Cite journal |last1=Karimi |first1=Kamran |last2=Dickson |first2=Neil |last3=Hamze |first3=Firas |title=A Performance Comparison of CUDA and OpenCL |date=2011-05-16 |url=https://arxiv.org/abs/1005.2581}} DOI: [https://doi.org/10.48550/arXiv.1005.2581 10.48550/ARXIV.1005.2581]</ref>
+In May 2010, AQUA@home deployed the first [[wikipedia:OpenCL|OpenCL]] application to run under BOINC, allowing its computations to be accelerated across a mix of multicore CPUs and GPUs from different vendors using a single, portable codebase.<ref>{{Cite web |url=https://boinc.berkeley.edu/old_news.php |title=News archive |website=BOINC |access-date=2026-06-27}}</ref> Project researchers subsequently published a direct performance comparison between [[wikipedia:CUDA|CUDA]] and OpenCL implementations of the same Quantum Monte Carlo computation kernel.<ref>{{Cite journal |last1=Karimi |first1=Kamran |last2=Dickson |first2=Neil |last3=Hamze |first3=Firas |title=A Performance Comparison of CUDA and OpenCL |date=2011-05-16 |url=https://arxiv.org/abs/1005.2581}} DOI: [https://doi.org/10.48550/arXiv.1005.2581 10.48550/ARXIV.1005.2581]</ref>
 == Outcome ==