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== Hardware ==  | == Hardware ==  | ||
Latest revision as of 10:24, 6 November 2013
This site is set up for sharing ideas, findings and experience in heterogeneous computing. Please, log in and create new or edit existing pages. How to format wiki-pages read here.
Contents
HCL software for heterogeneous computing
- Extensions for MPI: mpC HeteroMPI libELC
 - Extensions for GridRPC: SmartGridSolve NI-Connect
 - Computation benchmarking, modeling, dynamic load balancing: FuPerMod PMM
 - Communication benchmarking, modeling, optimization: CPM MPIBlib
 
Heterogeneous mathematical software
Operating systems
Development tools
- C/C++, Python, UML, FORTRAN
 - Autotools
 - GDB, OProfile, Valgrind
 - Doxygen
 - ChangeLog, Subversion
 - Eclipse
 - Bash Scripts
 
Libraries
- GNU C Library
 - MPI
 - STL, Boost
 - GSL
 - BLAS LAPACK ScaLAPACK
 - NLOPT
 - BitTorrent (B. Cohen's version)
 - CUDA SDK
 
Data processing
Paper & Presentation Tools
HCL templates for slides and posters in the HCL publications repository trunk/templates
Hardware
- HCL cluster
 - Other UCD Resources
 - UTK multicores + GPU
 - Grid5000
 - BlueGene/P
 - Desktop Backup
 - Memory size, overcommit, limit
 
How to connect to cluster via SSH
How to find information about the hardware
Mathematics
- Confidence interval (Statistics), Student's t-distribution (implemented in GSL)
 - Linear regression (implemented in GSL)
 - Binomial tree (use Graphviz to visualize trees)
 - Spline interpolation, Spline approximation (implemented in GSL)