| Name | Modified | Size | Downloads / Week |
|---|---|---|---|
| Parent folder | |||
| MiBench_for_MiDataSets_V1_1__README.txt | 2007-09-05 | 2.6 kB | |
| MiBench_for_MiDataSets_V1_1.tar.gz | 2007-09-05 | 7.2 MB | |
| Totals: 2 Items | 7.2 MB | 0 | |
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.