bookmarks

Grid-Egov, 31 December 2009

• http://www.springerlink.com/content/7320r602465j47q4/
• http://www.springerlink.com/content/b9m7l29jkvagtup3/
• http://portal.acm.org/citation.cfm?id=1558740.1558755&coll=GUIDE&dl=GUIDE&CFID=70557268&CFTOKEN=53127398
• http://www.emeraldinsight.com/Insight/viewContentItem.do?contentType=Article&contentId=1728159

BioInformatics, 31 December 2009

• Gromacs on GPU, https://simtk.org/project/xml/downloads.xml?group_id=161

• General purpose molecular dynamics simulations fully implemented on graphics processing units, Joshua A. Anderson, Chris D. Lorenz, and Alex Travesset
  Journal of Computational Physics 227 (2008) 5342-5359 , http://codeblue.umich.edu/hoomd-blue/about.html

• http://www.vpac.org/files/OpenMM_Gromacs_Zephyr_lukep_final.pdf

• Life Sciences and CUDA, http://www.lunarc.lu.se/Documents/nvidia-workshop/files/presentation/90_Life_Sciences.pdf
• BioInformatics and Genome Analysis Course,http://www.pasteur.fr/~tekaia/BCGA2009/ListofSpeakers2009.html

GPU – Matlab, 31 Desember 2009

• The Jacket Engine for MATLAB®, http://www.accelereyes.com/

• GPU Matlab Computing Blog, http://www.accelereyes.com/blog/

• Matlab plug-in for CUDA, http://developer.nvidia.com/object/matlab_cuda.html

GPU – OpenCL

• Tutorial – http://gpgpu.org/ppam2009
• OpenCL.net , Clouds service for GPU computing, http://www.hoopoe-cloud.com/Solutions/OpenCL.NET/Default.aspx
• ViennaCL – A library for linear algebra on GPUs,
  http://viennacl.sourceforge.net/
• rCUDA,  The rCUDA™ Framework enables the concurrent usage of CUDA-compatible devices remotely. http://www.gap.upv.es/index.php/home/software/rcuda.html

HPC in the CLOUDS : http://www.hpcinthecloud.com/

Parallel Computation in Economics:

• Grid economy project,
• http://ideas.repec.org/p/aub/autbar/637.05.html
• http://books.google.co.id/books?id=PvUYLx4aZ2YC&pg=PA103&lpg=PA103&dq=parallel+computational+economic&source=bl&ots=nrj8D0imai&sig=wV_b04wqOxgiMsBYen0dEGmTRVo&hl=id&ei=xZVZS4jyNsqLkAWc6rSqAg&sa=X&oi=book_result&ct=result&resnum=10&ved=0CEwQ6AEwCQ#v=onepage&q=parallel%20computational%20economic&f=false
• http://ideas.repec.org/h/eee/hecchp/1-07.html

Parallel Image Processing

• Parallel Image Processing based CUDA, http://portal.acm.org/citation.cfm?id=1469316
• GpuCV: an opensource GPU-accelerated framework forimage processing and computer vision, http://portal.acm.org/citation.cfm?id=1459578&dl=GUIDE&coll=GUIDE&CFID=74510619&CFTOKEN=32690029
• GPU-based simulation of cellular neural networks for image processing

  http://www.computer.org/portal/web/csdl/doi/10.1109/IJCNN.2009.5178969

• Parallel Image Processing on GPU with CUDA and OpenGL, http://complexhpc.org/events/lisbon/PDF/Mahmoudi.pdf
• http://gpgpu.org/tag/image-processing
• Medical Imaging HPC & Informatics Lab, http://www.uiowa.edu/~mihpclab/

PGI Accelerator Compilers

• http://www.pgroup.com/resources/accel.htm

EuAsiaGrid

• The MainPage, http://www.euasiagrid.org/wiki/index.php/Main_Page
• VOMS (virtual organization management system) introduction, http://training.omii-europe.org/Tutorials/glite3.0/aa.html
• glite-3-user guide, https://edms.cern.ch/file/722398/1.1/gLite-3-UserGuide.pdf
• quick tutorial, http://aproc.twgrid.org/index.php?option=com_content&task=view&id=14&Itemid=33

The Supercomputing Blog, http://supercomputingblog.com/

ICT for Health

• http://www.electronic-health.org/
• 2008 electronic health care proceeding, http://www.springer.com/computer/bioinformatics/book/978-3-642-00412-4

Others

• Numerical analysis in the Web, http://numawww.mathematik.tu-darmstadt.de/
• Net/GridSolve, http://icl.cs.utk.edu/netsolve/

• SMP & Dist routines for Symmetric Tridiag Eigenproblem (Matthias Petschow and Paolo Bientinesi,  NA Digest  Monday, January 17, 2011  Volume 11 : Issue 03)
  Two parallel eigensolvers based on the fast MRRR algorithm. Everybody who is interested in the solution of symmetric or Hermitian eigenproblems is invited to download and test our routines.  The code is under the “New BSD” license.
• 1) MR3SMP: a multi-threaded variant of MRRR for multicore and SMP
  architectures. The routines are written in C and use
  pthreads. Code is available at http://code.google.com/p/mr3smp
  Driver routines for generalized and standard dense
  eigenproblems are included.
• 2) PMRRR: an hybrid distributed + multi-threaded solver for
  distributed architectures with shared memory nodes. The
  routines are written in C and use MPI and pthreads. By
  switching the multi-threading off, PMRRR can also be run in
  pure distributed fashion (MPI only).  Code (still at testing
  stage) is available at http://code.google.com/p/pmrrr

• Research collaboration sites:
  http://www.researchgate.net/ or http://www.myexperiment.org/
• Islamic Crescents Observation Project (ICOP) http://www.icoproject.org
• online survey tools
  • http://www.surveymonkey.com/
  • http://www.freeonlinesurveys.com/
• http://paket-tour.tiket-pesawat-online.com/
• Aturan dan Produk Hukum pendidikan tinggi, http://www.dikti.go.id/tatalaksana/hukum/