<html><head><meta http-equiv="Content-Type" content="text/html charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class=""><span id="docs-internal-guid-afcb3058-02a8-3994-deae-503e532497e8" class=""><div style="line-height: 1.656; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">[Apologies if you receive multiple copies of this CFP]</span></div><br class=""><div style="line-height: 1.656; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-family: Arial; font-weight: 700; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Call for papers: special session on “Parallelism in Machine Learning: Theory and Applications” at IJCNN 2018</span></div><br class=""><div style="line-height: 1.656; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">International Joint Conference on Neural Networks, hosted at IEEE World Congress on Computational Intelligence (IEEE WCCI 2018)</span></div><div style="line-height: 1.656; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">8-13 July 2018, Rio de Janeiro, Brazil - </span><a href="http://www.ecomp.poli.br/~wcci2018/" style="text-decoration:none;" class=""><span style="font-size: 11pt; font-family: Arial; color: rgb(17, 85, 204); font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; text-decoration: underline; vertical-align: baseline; white-space: pre-wrap;" class="">http://www.ecomp.poli.br/~wcci2018/</span></a></div><br class=""><br class=""><div style="line-height: 1.656; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-family: Arial; font-weight: 700; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Parallelism in Machine Learning: Theory and Applications</span></div><br class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-family: Arial; font-style: italic; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Organized by: Veronica Bolon-Canedo, Jorge Gonzalez-Dominguez, Amparo Alonso-Betanzos (University of A Coruña, Spain), Beatriz Remeseiro (University of Oviedo, Spain)</span></div><br class=""><br class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Machine learning (ML) is a prolific research area focused on the study and definition of algorithms able to learn from and make predictions on data. The current technologies and the use of Internet have revolutionized the way in which people acquire, store, or share data, resulting in huge amounts of information. In order to deal with massive volumes of data, ML techniques have to learn complex models with millions of parameters, increasing the computational cost involved.</span></div><br class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Parallel programming and distributed learning are gaining attention in the last years as a mean to alleviate the effects of this extremely increase of computational cost. The efficient exploitation of High Performance Computing (HPC) resources such as multicore CPUs, hardware accelerators (GPUs, Intel Xeon Phi coprocessors, FPGAs, etc.), clusters or cloud-based systems can significantly accelerate many ML algorithms. This increase of speed allows ML users to either reduce the time needed for their applications or to search a larger space in the same period of time. </span></div><br class=""><br class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">We invite papers on both practical and theoretical issues about incorporating parallel and distributed approaches into machine learning problems. In particular, topics of interest include, but are not limited to:</span></div><br class=""><ul style="margin-top:0pt;margin-bottom:0pt;" class=""><li dir="ltr" style="list-style-type: disc; font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline;" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Development of parallel machine learning algorithms on multicore and manycore architectures: multithreading, GPUs, Intel Xeon Phi coprocessor, FPGAs, etc.</span></div></li><li dir="ltr" style="list-style-type: disc; font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline;" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Development of distributed machine learning algorithms.</span></div></li><li dir="ltr" style="list-style-type: disc; font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline;" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Exploitation of cloud, grid and distributed-memory systems to accelerate machine learning algorithms: Spark, Hadoop, MPI, etc.</span></div></li><li dir="ltr" style="list-style-type: disc; font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline;" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Scalability analysis of parallel and distributed methods for machine learning.</span></div></li><li dir="ltr" style="list-style-type: disc; font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline;" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Performance comparison of parallel and distributed machine learning algorithms.</span></div></li><li dir="ltr" style="list-style-type: disc; font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline;" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Deep learning models trained across multicore CPUs, GPUs or clusters of computers.</span></div></li><li dir="ltr" style="list-style-type: disc; font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline;" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt;" class=""><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Applications: bioinformatics, medicine, multimedia, marketing, cyber security, etc.</span></div></li></ul><br class=""><br class=""><br class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt; text-align: justify;" class=""><span style="font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Submitted papers will be reviewed according to the IJCNN reviewing process and will be evaluated on their scientific value: originality, correctness, and writing style.</span></div><br class=""><br class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt; text-align: justify;" class=""><span style="font-size: 11pt; font-family: Arial; font-weight: 700; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">IMPORTANT DATES:</span></div><br class=""><ul style="margin-top:0pt;margin-bottom:0pt;" class=""><li dir="ltr" style="list-style-type: disc; font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline;" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt; text-align: justify;" class=""><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Paper submission: 15th January 2018</span></div></li><li dir="ltr" style="list-style-type: disc; font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline;" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt; text-align: justify;" class=""><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Paper acceptance: 15th March 2018</span></div></li><li dir="ltr" style="list-style-type: disc; font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline;" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt; text-align: justify;" class=""><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Final paper submission: 1st May 2018</span></div></li><li dir="ltr" style="list-style-type: disc; font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline;" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt; text-align: justify;" class=""><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Early registration: 1st May 2018</span></div></li><li dir="ltr" style="list-style-type: disc; font-size: 11pt; font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline;" class=""><div style="line-height: 1.38; margin-top: 0pt; margin-bottom: 0pt; text-align: justify;" class=""><span style="font-size: 11pt; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">IEEE WCCI 2018 conference: 8-13 July 2018</span></div></li></ul><br class=""></span><br class=""><br class=""><div class="">
<div class=""><div style="orphans: 2; widows: 2;" class=""><font color="#929292" class="">Verónica Bolón Canedo, PhD</font></div><div style="orphans: 2; widows: 2;" class=""><font color="#929292" class="">Grupo LIDIA</font></div><div style="orphans: 2; widows: 2;" class=""><font color="#929292" class="">Departamento de Computación</font></div><div style="orphans: 2; widows: 2;" class=""><font color="#929292" class="">Facultad de Informática</font></div><div style="orphans: 2; widows: 2;" class=""><font color="#929292" class="">Universidade da Coruña</font></div><div style="orphans: 2; widows: 2;" class=""><font color="#929292" class=""><br class=""></font></div><div style="orphans: 2; widows: 2;" class=""><font color="#929292" class="">Campus de Elviña, s/n</font></div><div style="orphans: 2; widows: 2;" class=""><font color="#929292" class="">15071 - A Coruña, Spain</font></div><div style="orphans: 2; widows: 2;" class=""><font color="#929292" class=""><br class=""></font></div><div style="orphans: 2; widows: 2;" class=""><font color="#929292" class="">Phone: +34 981 167150 Ext. 6007</font></div><div style="orphans: 2; widows: 2;" class=""><font color="#929292" class="">Fax: +34 981 167160</font></div><div style="orphans: 2; widows: 2;" class=""><font color="#929292" class="">e-mail: <a href="mailto:veronica.bolon@udc.es" class="">veronica.bolon@udc.es</a></font></div><div style="orphans: 2; widows: 2;" class=""><font color="#929292" class=""><a href="http://www.lidiagroup.org" class="">http://www.lidiagroup.org</a></font></div></div><div class=""><br class=""></div><br class="Apple-interchange-newline">
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