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</o:shapelayout></xml><![endif]--></head><body lang=EN-US link=blue vlink=purple><div class=WordSection1><p class=MsoNormal><span style='color:black'>Dear All,<o:p></o:p></span></p><p class=MsoNormal><span style='color:black'><o:p> </o:p></span></p><p class=MsoNoSpacing style='line-height:115%'><span style='color:black'>This is a kind reminder that our next LI-LA-SiGMA seminar </span><span style='color:black'>will be tomorrow, May 24 at 2.00pm</span><span style='color:#1F497D'> </span><span style='color:black'>(AG room: 234 Netken Hall, LA tech). Our speaker is Dr. Zhang Le</span><span style='color:black'>, </span>Department of Mathematical Sciences<span style='color:black'>, </span>Michigan Tech University, Houghton<span style='color:black'>.</span><span style='color:#1F497D'> <o:p></o:p></span></p><p class=MsoPlainText><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'><o:p> </o:p></span></p><p class=MsoPlainText style='text-align:justify'><b><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:black'>Title: </span></b><b><span style='font-family:"Calibri","sans-serif"'>Using multi-scale and multi-resolution model with Graphics processing Unit (GPU) to simulate real-time actual cancer progression.</span></b><b><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:black'><o:p></o:p></span></b></p><p class=MsoPlainText><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'><o:p> </o:p></span></p><p class=MsoNormal style='text-align:justify'><u>Abstract:</u> Multi-scale agent based model (<i>ABM</i>) has been wildly employed to simulate Glioma tumor cells’ interaction and tumor progression. In this type of <i>ABM</i>, computational scientists always use a quantitative molecular pathway of the intracellular level to determine cell’s phonotype switch of extracellular level as well as simulate the diffusion of the chemoattractants which are the input factors of the molecular pathway of the tissue level. And then, we can investigate which molecules play important roles to determine cells’ phonotype switch and drive the whole Glioma tumor expansion. However, most of the recent <i>ABM</i> models are too theoretic to predict real-time actual cancer progression due to the following reasons. First, it is hard to employ conventional <i>ABM</i> to simulate the large system restricted to the limited compute resource and memory of the computer. Second, we should employ relative fine grids and small time interval for <i>ABM</i> to simulate real-time cancer progression, but it takes long time for the conventional numerical diffusion solver to approximate the exact solution with relative fine grids. For the first problem, we use novel multi-resolution algorithm to relieve the heavy compute requests. The multi-resolution algorithm divides the cancer cells into homogeneous group and heterogeneous group. And then, it concentrates limited compute resource onto the cells in the heterogeneous group. The results demonstrate that multi-resolution <i>ABM</i> can have high predictive power with light compute requests. For the second problem, our study employs cutting-edge graphics processing unit (<i>GPU</i>) technology to speed up the conventional sequential numerical solver for diffusion with relative fine grids. Our research output shows that <i>GPU</i> based parallel compute algorithm can accelerate diffusion processing time around 50 folders than sequential algorithm. Finally, we plan to develop a parallel ordinary differential equation numerical solver to speed up the molecular pathway computation for each cancer cells in the heterogeneous group. In general, <i>GPU</i> based multi-scale and multi-resolution model has great potentiality for us to model real-time actual cancer progression in the 2D and 3D space which could provide more valuable information for the clinical personnel to forecast Glioma tumor expansion.<o:p></o:p></p><p class=MsoPlainText><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'><o:p> </o:p></span></p><p class=MsoPlainText><span style='font-size:11.0pt;font-family:"Calibri","sans-serif"'>The access grid locations are as follow: <o:p></o:p></span></p><p class=MsoPlainText><span style='font-size:11.0pt;font-family:"Calibri","sans-serif"'><o:p> </o:p></span></p><p class=MsoNoSpacing style='line-height:115%'><u>Tulane:</u> AG room: 403 Stanley Thomas Hall<o:p></o:p></p><p class=MsoNoSpacing style='line-height:115%'><u>University of Louisiana at Lafayette</u>: AG room: Abdalla Hall<o:p></o:p></p><p class=MsoNoSpacing style='line-height:115%'><u>Southern University:</u> AG room: 218 Moore Hall<o:p></o:p></p><p class=MsoNoSpacing style='line-height:115%'><u>UNO:</u> AG room: <span style='color:black'>SC 2002</span><o:p></o:p></p><p class=MsoNoSpacing style='line-height:115%'><u>LSU:</u> AG room: Johnston 338<o:p></o:p></p><p class=MsoNoSpacing style='line-height:115%'><u>LATECH:</u> AG room: 234 Netken Hall<o:p></o:p></p><p class=MsoPlainText style='text-align:justify'><span style='font-size:11.0pt;font-family:"Calibri","sans-serif"'><o:p> </o:p></span></p><p class=MsoPlainText style='text-align:justify'><span style='font-size:11.0pt;font-family:"Calibri","sans-serif"'>Please, distribute this email to your students and colleagues.<o:p></o:p></span></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Kind Regards,<o:p></o:p></p><p class=MsoNormal>Dentcho<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>----<o:p></o:p></p><p class=MsoNormal>Dentcho A. Genov, PhD<o:p></o:p></p><p class=MsoNormal>The LONI Institute Fellow<o:p></o:p></p><p class=MsoNormal>Assistant Professor of Physics & Electrical Engineering<o:p></o:p></p><p class=MsoNormal>Louisiana Tech University, Engineering Annex, Room 220<o:p></o:p></p><p class=MsoNormal>599 W Arizona Ave, Ruston LA 71272<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Phone: (318) 257-4190, Fax: (318) 257-2777<o:p></o:p></p><p class=MsoNormal>Webpage: http://www.phys.latech.edu/~dgenov/<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><o:p> </o:p></p></div></body></html>