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Home / MiBench_for_MiDataSets / V1.1 - bug-fix
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Modified MiBench for MiDataSets V1.1 (GPL license)


*** Development website ***

http://midatasets.sourceforge.net


*** Release History ***

MiDataSets & modified MiBench

V1.1 September 05, 2007

     We would like to thank you all for your interest
     and valuable feedback, and are pleased to announce 
     a bug-fix release for modified MiBench benchmark sources 
     for MiDataSets V1. Any new benchmarks and datasets'
     contributions are welcome!

     If you have any questions or comments, please don't hesitate
     to contact Grigori Fursin (grigori.fursin@inria.fr, 
     http://fursin.net/research)

     The following benchmarks have been fixed:

     * consumer_lame
     * office_ghostscript
     * office_ispell
     * office_stringsearch
     * security_blowfish_d
     * security_blowfish_e
     * security_pgp_d
     * security_pgp_e

V1.0 March 17, 2007

     Official release.

V0.1 February 01, 2006 

     Preliminary set of several datasets is prepared
     and used internally at INRIA for research.


*** Remarks ***

Most of the source codes have been slightly modified by Grigori Fursin
to simplify and automate iterative optimizations. A loop wrapper has been 
added around the main procedure to make some benchmarks run longer when 
real execution time is used for measurements instead of a simulator 
(we do not yet take into account cache effects - it's a future work). 
Each benchmark with each datasets run approximately 10 seconds 
on INRIA cluster with AMD Athlon 64 3700+ processors.

Each directory has 3 Makefiles for GCC, Intel compilers and PathScale compilers. 
Each directory has a "__run" batch file to execute a benchmark. The first
parameter is the dataset number and the second optional parameter is the 
upper bound of the loop wrapper around the main procedure. 
If second parameter is omitted, the loop wrapper upper bound 
is taken from the file _run/_finfo_dataset.<dataset_number>.

Several batch files are included as examples to automate iterative optimizations
 all__create_work_dirs - creates temporal work directories for each benchmark
 all__delete_work_dirs - delete all temporal work directories
 all_compile - compile all benchmarks in the temporal work directories 
 all_run - run all benchmarks with all datasets in the temporal work directories

Though we made an effort to include only copyright free datasets 
from the Internet, mistakes are possible. In such cases, please 
contact Grigori Fursin (grigori.fursin@inria.fr) as soon as possible 
and we will try to resolve the issue.
Source: MiBench_for_MiDataSets_V1_1__README.txt, updated 2007-09-05