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Nano Grid in NAREGI

Nano Grid in NAREGI. Mutsumi AOYAGI Kyushu Univ. & Institute for Molecular Science aoyagi@cc.kyushu-u.ac.jp. Na tional Re search G rid I nitiative. Working with other national and international initiatives,. Goals. To establish a Grid Infrastructure in Japan.

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Nano Grid in NAREGI

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  1. Nano Grid in NAREGI Mutsumi AOYAGI Kyushu Univ. & Institute for Molecular Science aoyagi@cc.kyushu-u.ac.jp

  2. National Research Grid Initiative Working with other national and international initiatives, Goals To establish a Grid Infrastructure in Japan To deploy nano- and bio-applications on the Grid Period & Budget Starts April 1st of 2003 →2007 ~$16 million / year + Supplementary Budget, depending on Economy condition. Ministry of Education, Culture, Sports, Science and Technology

  3. Key Institutes and mission National Institute of Informatics(NII)&Institute for Molecular Science(IMS)&Institute of Physical and Chemical Research(RIKEN) Conduct of NAREGIDevelop Grid Infrastructure Develop nano-science applications on Grid Develop bio-science applications on Grid Grid Tech. Research Center, Many Universities and Companies will participate in

  4. Facilities plan for nano team • Grid applications use distributed resources such as • High-performance computers • Large storage systems • High-end visualization environments For nano Grid applications,IMS has a plan to install new computer resources~10TFLOPS/0.3PB, by the end of 2003 fiscal year.

  5. ゲート （金属） a b 制御電圧 絶縁体 ドレイン ソース Nチャネル 基板 電流 d 制御電圧 c 金 炭素 酸素 窒素 水素 硫黄 金 電流 Target applications(1) of nano team Large scale Electronic Structure Simulations of Soft Materials and Molecular Assemblies. Molecular Motors Self-assembled

  6. Target applications(2) of nano team Large scale Molecular Dynamics Simulations of Bio-Materials and Solvent. 形態形成 構造予測 ポストゲノム 拡張アンサンブル法 プロティン G B1 統計力学 分子動力学法 m １０，０００個、１００ s Protein holding membrane

  7. Developments of Application platform Nano structure Platform MD and MC engine Nano design Interaction potential Nano componets MO ブ FMO リ Reaction path ッ ジ DFT ン グ Nano structure Editor エ Potential Function ン ジ ン Average Force Nano Functionality Zooming engine OCTA COGNAC PASTA SUSHI MUFFIN Joint : Dr. Mikami, (AIST)

  8. Initial guess,… Evaluate Integrals Construct Fock Matrix no New Density Converged? yes Populations,… Direct SCFMOmethod O(N4) integral Calcs. vs O(N2) Fock, Density Comm. N: size of problem

  9. O(N4) integral Calcs. tei(4,4,4,4)=(((3+2*p*(4*PAx*PBx+PBx**2+PAx**2*(1+2*p*PBx**2)))*(3+2*q*(4*QCx*QDx+QDx**2+QCx**2*(1+2*q*QDx**2)))*f(0,t))/(p**2*q**2)+(4*(3+2*p*(4*PAx*PBx+PBx**2+PAx**2*(1+2*p*PBx**2)))*PQx*(QCx+QDx)*(3+2*q*QCx*QDx)*f(1,t))/(p*q*(p+q))(4*(PAx+PBx)*(3+2*p*PAx*PBx)*PQx*(3+2*q*(4*QCx*QDx+QDx**2+QCx**2*(1+2*q*QDx**2)))*f(1,t))/(p*q*(p+q))(8*(PAx+PBx)*(3+2*p*PAx*PBx)*(QCx+QDx)*(3+2*q*QCx*QDx)*(((p+q)*f(1,t))+2*p*PQx**2*q*f(2,t)))/(p*q*(p+q)**2)+(2*(3+2*p*(4*PAx*PBx+PBx**2+PAx**2*(1+2*p*PBx**2)))*(3+q*(QCx**2+4*QCx*QDx+QDx**2))*(((p+q)*f(1,t))+2*p*PQx**2*q*f(2,t)))/(p*q**2*(p+q)**2)+(2*(3+p*(PAx**2+4*PAx*PBx+PBx**2))*(3+2*q*(4*QCx*QDx+QDx**2+QCx**2*(1+2*q*QDx**2)))*(((p+q)*f(1,t))+2*p*PQx**2*q*f(2,t)))/(p**2*q*(p+q)**2)+(4*(3+2*p*(4*PAx*PBx+PBx**2+PAx**2*(1+2*p*PBx**2)))*PQx*(QCx+QDx)*(3*(p+q)*f(2,t)+2*p*PQx**2*q*f(3,t)))/(q*(p+q)**3)\+(8*(3+p*(PAx**2+4*PAx*PBx+PBx**2))*PQx*(QCx+QDx)*(3+2*q*QCx*QDx)*(3*(p+q)*f(2,t)+2*p*PQx**2*q*f(3,t)))/(p*(p+q)**3)(8*(PAx+PBx)*(3+2*p*PAx*PBx)*PQx*(3+q*(QCx**2+4*QCx*QDx+QDx**2))*(3*(p+q)*f(2,t)+2*p*PQx**2*q*f(3,t)))/(q*(p+q)**3)(4*(PAx+PBx)*PQx*(3+2*q*(4*QCx*QDx+QDx**2+QCx**2*(1+2*q*QDx**2)))*(3*(p+q)*f(2,t)+2*p*PQx**2*q*f(3,t)))/(p*(p+q)**3)+((3+2*p*(4*PAx*PBx+PBx**2+PAx**2*(1+2*p*PBx**2)))*(3*(p+q)**2*f(2,t)+4*p*PQx**2*q*(3*(p+q)*f(3,t)+p*PQx**2*q*f(4,t))))/(q**2*(p+q)**4)(8*(PAx+PBx)*(3+2*p*PAx*PBx)*(QCx+QDx)*(3*(p+q)**2*f(2,t)+4*p*PQx**2*q*(3*(p+q)*f(3,t)+p*PQx**2*q*f(4,t))))/(q*(p+q)**4)(8*(PAx+PBx)*(QCx+QDx)*(3+2*q*QCx*QDx)*(3*(p+q)**2*f(2,t)+4*p*PQx**2*q*(3*(p+q)*f(3,t)+p*PQx**2*q*f(4,t))))/(p*(p+q)**4)+(4*(3+p*(PAx**2+4*PAx*PBx+PBx**2))*(3+q*(QCx**2+4*QCx*QDx+QDx**2))*(3*(p+q)**2*f(2,t)+4*p*PQx**2*q*(3*(p+q)*f(3,t)+p*PQx**2*q*f(4,t))))/(p*q*(p+q)**4)+((3+2*q*(4*QCx*QDx+QDx**2+QCx**2*(1+2*q*QDx**2)))*(3*(p+q)**2*f(2,t)+4*p*PQx**2*q*(3*(p+q)*f(3,t)+p*PQx**2*q*f(4,t))))/(p**2*(p+q)**4)(4*p*(PAx+PBx)*(3+2*p*PAx*PBx)*PQx*(15*(p+q)**2*f(3,t)+4*p*PQx**2*q*(5*(p+q)*f(4,t)+p*PQx**2*q*f(5,t))))/(q*(p+q)**5)+(8*(3+p*(PAx**2+4*PAx*PBx+PBx**2))*PQx*(QCx+QDx)*(15*(p+q)**2*f(3,t)+4*p*PQx**2*q*(5*(p+q)*f(4,t)+p*PQx**2*q*f(5,t))))/(p+q)**5+(4*PQx*q*(QCx+QDx)*(3+2*q*QCx*QDx)*(15*(p+q)**2*f(3,t)+4*p*PQx**2*q*(5*(p+q)*f(4,t)+p*PQx**2*q*f(5,t))))/(p*(p+q)**5)(8*(PAx+PBx)*PQx*(3+q*(QCx**2+4*QCx*QDx+QDx**2))*(15*(p+q)**2*f(3,t)+4*p*PQx**2*q*(5*(p+q)*f(4,t)+p*PQx**2*q*f(5,t))))/(p+q)**5+(8*(PAx+PBx)*(QCx+QDx)*(15*(p+q)**3*f(3,t)+30*p*PQx**2*q*(p+q)*(3*(p+q)*f(4,t)+2*p*PQx**2*q*f(5,t))8*p**3*PQx**6*q**3*f(6,t)))/(p+q)**6+(2*(3+p*(PAx**2+4*PAx*PBx+PBx**2))*(15*(p+q)**3*f(3,t)30*p*PQx**2*q*(p+q)*(3*(p+q)*f(4,t)+2*p*PQx**2*q*f(5,t))+8*p**3*PQx**6*q**3*f(6,t)))/(q*(p+q)**6)+(2*(3+q*(QCx**2+4*QCx*QDx+QDx**2))*(15*(p+q)**3*f(3,t)30*p*PQx**2*q*(p+q)*(3*(p+q)*f(4,t)+2*p*PQx**2*q*f(5,t))+8*p**3*PQx**6*q**3*f(6,t)))/(p*(p+q)**6)(787 MUL, 261 ADD,69 FUNC) Amount of Floating point operations differ significantly depending on the type of integrals. tei(3,1,1,1)=((PAy*(1+2*p*PAx*PBx)*(1+2*q*QCx*QDx)*f(0,t))/q+((((p+q)**4*((PAy+PQy)*q*(1+2*q*QCx*QDx)+p*(PAy+2*PAx*PAy*PQx*q+2*PAy*PBx*PQx*q+2*PAx*PBx*PQy*q2*PAx*PAy*q*QCx2*PAy*PBx*q*QCx2*PAy*PQx*q*QCx+2*q*((PAy*(PAx+PBx+PQx))+2*(PAy*(PAx+PBx)*PQx+PAx*PBx*PQy)*q*QCx)*QDx)2*p**2*PAx*PAy*PBx*(1+2*PQx*q*(QCx+QDx)))*f(1,t))/q)+(p+q)*((p+q)*((p+q)*(3*p*PAy+6*p**2*PAx*PAy*PQx+6*p**2*PAy*PBx*PQx+2*p**2*PAy*PQx**2+4*p**3*PAx*PAy*PBx*PQx**2+p*PQy+2*p**2*PAx*PBx*PQy+2*p*PAy*PQx**2*q+PQy*q+2*p*PAx*PQx*PQy*q (116 MUL, 31 ADD, 2FUNC)

  10. Load Balancing Number of Integrals Calculated # Computing node index

  11. Composite Simulations Examples QM/MM model Particle/Continuum model Data exchanges only at Physical boundary MD simulation combined with electro-static simulation to evaluate defect rate of nano devices. Hitachi Lab. 2001

  12. Grid meets Multi-Scale/ Multi-Physics? Structure Analysis Fluid Dynamics Coarse-Grain Dynamics MD MC Reaction Dynamics MO Band Struct. Different space and time scales

  13. Concluding remarks A solution based on Research Grid will have significant advantages for customizing interdisciplinary simulations, and also.. Grid will make a big chance for the Collaboration between Computational Scientists and Computer Scientists in HPC field.

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