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<span style="margin:0px;font-size:12pt;background-color:rgb(255, 255, 255)"><span style="margin:0px;font-family:Calibri, Helvetica, sans-serif">Hello All,</span></span>
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<div style="margin:0px;font-size:12pt;background-color:rgb(255, 255, 255)"><span style="margin:0px;font-family:Calibri, Helvetica, sans-serif">Tomorrow, April 18</span><span style="margin:0px"><sup><span style="margin:0px;font-size:12pt;font-family:Calibri, Helvetica, sans-serif">th</span></sup></span><span style="margin:0px;font-family:Calibri, Helvetica, sans-serif"> at
1pm (EDT), Ioannis Sakiotis will give a (virtual) cake<span> </span><span data-markjs="true" class="markz5ld3e6fj" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin:0px">seminar</span><span> </span>on<span> </span></span><span style="margin:0px"><a href="https://jlab-org.zoomgov.com/j/1611179843?pwd=M09CNTFpbFVZSW1IQlhIMGp3RUVHUT09" target="_blank" rel="noopener noreferrer" data-auth="NotApplicable" data-linkindex="0" style="margin:0px"><span style="margin:0px;font-family:Calibri, Helvetica, sans-serif">https://jlab-org.zoomgov.com/j/1611179843?pwd=M09CNTFpbFVZSW1IQlhIMGp3RUVHUT09</span></a></span><br>
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<div style="margin:0px;font-size:12pt;background-color:rgb(255, 255, 255)"><span style="margin:0px;font-family:Calibri, Helvetica, sans-serif">Please see below for the title and abstract of<span> </span></span><span style="margin:0px;font-family:Calibri, Helvetica, sans-serif">Ioannis</span><span style="margin:0px;font-family:Calibri, Helvetica, sans-serif">'
talk.</span></div>
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<div style="margin:0px;font-size:12pt;background-color:rgb(255, 255, 255)"><span style="margin:0px;font-family:Calibri, Helvetica, sans-serif"><u><b>Cake<span> </span><span data-markjs="true" class="markz5ld3e6fj" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin:0px">Seminar</span></b></u><br>
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<div style="margin:0px;font-size:12pt;background-color:rgb(255, 255, 255)"><span style="margin:0px;font-family:Calibri, Helvetica, sans-serif">Monday, April 18</span><span style="margin:0px"><sup><span style="margin:0px;font-size:12pt;font-family:Calibri, Helvetica, sans-serif">th</span></sup></span><span style="margin:0px;font-family:Calibri, Helvetica, sans-serif"> at
1:00PM</span></div>
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<div style="margin:0px;font-size:12pt;background-color:rgb(255, 255, 255)"><u><b><span style="margin:0px;font-family:Calibri, Helvetica, sans-serif">Ioannis Sakiotis</span></b></u><span style="margin:0px;font-family:Calibri, Helvetica, sans-serif"><span> </span>(Old
Dominion University)</span></div>
<div style="margin:0px;font-size:12pt;background-color:rgb(255, 255, 255)"><span style="margin:0px;font-family:Calibri, Helvetica, sans-serif">will discuss "Deterministic and Probabilistic Multi-dimensional Numerical Integration on GPUs"</span></div>
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<div style="margin:0px;font-size:12pt;background-color:rgb(255, 255, 255)"><span style="margin:0px;font-family:Calibri, Helvetica, sans-serif"><u><b>Abstract</b></u></span><span style="margin:0px;font-family:Calibri, Helvetica, sans-serif">: 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 style="margin:0px"><span style="margin:0px;font-family:Calibri, Helvetica, sans-serif">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 style="margin:0px"><span style="margin:0px;font-family:Calibri, Helvetica, sans-serif">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="margin:0px;font-family:Calibri, Helvetica, sans-serif">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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<div style="margin:0px;font-size:12pt;background-color:rgb(255, 255, 255)"><span style="margin:0px;font-family:Calibri, Helvetica, sans-serif">See you tomorrow!</span></div>
<span style="margin:0px;font-size:12pt;background-color:rgb(255, 255, 255)"><span style="margin:0px;font-family:Calibri, Helvetica, sans-serif">Caroline, Colin & Patrick</span></span><br>
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