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<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 12pt;">Hello All,</span></div>
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<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 12pt;">This coming Monday, April 18</span><span><sup><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 12pt;">th</span></sup></span><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 12pt;"> at
1pm (EDT), Ioannis Sakiotis will give a (virtual) cake seminar on </span><span><a href="https://jlab-org.zoomgov.com/j/1611179843?pwd=M09CNTFpbFVZSW1IQlhIMGp3RUVHUT09" id="LPNoLPOWALinkPreview"><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 12pt;">https://jlab-org.zoomgov.com/j/1611179843?pwd=M09CNTFpbFVZSW1IQlhIMGp3RUVHUT09</span></a></span><br>
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<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 12pt;">Please see below for the title and abstract of
</span><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 12pt;">Ioannis</span><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 12pt;">' talk.</span></div>
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<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 12pt;"><u><b>Cake Seminar</b></u><br>
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<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 12pt;">Monday, April 18</span><span><sup><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 12pt;">th</span></sup></span><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 12pt;"> at
1:00PM</span></div>
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<u><b><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 12pt;">Ioannis Sakiotis</span></b></u><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 12pt;"> (Old Dominion University)</span></div>
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<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 12pt;">will discuss "Deterministic and Probabilistic Multi-dimensional Numerical Integration on GPUs"</span></div>
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<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 12pt;"><u><b>Abstract</b></u></span><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 12pt;">: The task of multi-dimensional numerical integration is frequently encountered
in physics and other scientific fields. High computational intensity causes existing libraries to often require prohibitively long execution times on challenging integrands. Adaptive algorithms have demonstrated the best performance on serial systems, but
efficient many-core utilization is difficult to achieve because the adaptive workload can vary greatly across the integration space and is impossible to predict a priori. As a result, there a shortage of efficient and robust parallel numerical integration
libraries.</span>
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<div><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 12pt;">We present PAGANI and m-Cubes, two algorithms tailored for GPU execution, based on the popular Cuhre and VEGAS algorithms. PAGANI utilizes quadrature techniques while m-Cubes is
Monte Carlo based. Different integrand characteristics can make either algorithm more appropriate, but both offer high-performance solutions to multi-dimensional integrands.</span></div>
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<div><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 12pt;">CUDA implementations executed on a V100 GPU show orders of magnitude speedup over the serial algorithms as well superior reliability and performance over other deterministic and
probabilistic GPU implementations.</span></div>
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<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 12pt;">Finally, a modern C++ interface header-only implementation makes both algorithms portable, allowing their utilization in complicated pipelines with easy to define stateful integrals
and without requiring knowledge of either parallel or CUDA programming constructs.</span></div>
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<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 12pt;">Have a pleasant weekend!</span></div>
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<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 12pt;">Caroline, Colin & Patrick</span><br>
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