<html><head><meta http-equiv="content-type" content="text/html; charset=utf-8"></head><body dir="auto"><div></div><div><div class=""><div class=""><div class=""><font color="#000000"><span style="background-color: rgba(255, 255, 255, 0);">Future Trends in Nuclear Physics Computing, a message from Markus Diefenthaler:</span></font></div></div></div></div><div><br></div><blockquote type="cite"><div class=""><div class=""><div class="">Last year’s workshop on “Future Trends in Nuclear Physics Computing” has been a tremendous success. So we have decided to continue the workshop this year. </div><div class=""><br class=""></div><div class="">We would like to invite you to our workshop and would like to ask you also for a favor: Could you please share our announcement among the Hall B members that are interesting in scientific computing? You find our announcement below. </div><div class=""><br class=""></div><div class="">Many thanks for considering our request, best regards, </div><div class=""><br class=""></div><div class="">Markus. </div><div class=""><br class=""></div><div class=""><b class="">Workshop Announcement </b></div><div class=""><br class=""></div><div class=""><div class="">Dear Colleague: </div><br class="">The second workshop on “Future Trends in Nuclear Physics Computing” will be held from May 2-5 at Jefferson Lab. The event will begin with an afternoon symposium with forward-looking topics, followed by 2.5 days of plenary talks and discussions. <div class=""><br class=""></div><div class="">We will examine our hardware and software strategy at a time horizon of ten years. Our goal is to work towards the definition of a common vision for <font class="">Nuclear Physics (NP)</font> computing and data and recommend future directions for development. In our discussions, we will adopt a data perspective and will focus on the following areas: <div class=""><br class=""><div class=""><div class=""><div class=""><div class=""><ul class="MailOutline"><li class="">resource management and the interplay of I/O, compute and storage,</li><li class="">machine learning for enhancing scientific productivity and appropriate task based approaches,</li><li class="">software portability, reusability and common infrastructure components.</li></ul></div><div class=""><br class=""></div>The workshop is intended for both the NP and <font class=""><span class="">High-Energy Physics (HEP)</span> </font>community and we particularly encourage young scientists to attend. The registration page is available on our website (<a href="https://www.jlab.org/conferences/trends2017" class="">https://www.jlab.org/conferences/trends2017</a>) with limited travel support for Ph.D. students. A summary of the workshop and its goal can be found on: <a href="https://www.jlab.org/conferences/trends2017/poster.pdf" class="">https://www.jlab.org/conferences/trends2017/poster.pdf</a></div><div class=""><br class="">Yours sincerely, <br class=""><br class="">Amber Boehnlein, Markus Diefenthaler, and Graham Heyes (local organizers)</div><div class=""><br class=""><span class="">Program Committee: </span><br class=""><div class=""><ul class=""><li class="">Wes Bethel (LBL)</li><li class="">Amber Boehnlein (JLab)</li><li class="">Kyle Cranmer (NYU)</li><li class="">Markus Diefenthaler (JLab)</li><li class="">Graham Heyes (JLab)</li><li class="">Alexander Kiselev (BNL)</li><li class="">Jerome Lauret (BNL)</li><li class="">Katherine Riley (ANL)</li><li class="">Tom Rockwell (FRIB/NSCL)</li><li class="">Torre Wenaus (BNL)</li></ul></div></div></div></div></div></div></div></div></div></blockquote></body></html>