- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
single precision:
Summary PARDISO: ( factorize to factorize )
================
Times:
======
Time A to LU: 0.000000 s
Factorization: Time for writing to files : 0.000000
Factorization: Time for reading from files : 0.000000
Time numfct : 4066.776367 s
Time malloc : 0.000056 s
Time total : 4066.812012 s total - sum: 0.035689 s
Statistics:
===========
< Parallel Direct Factorization with #processors: > 8
< Numerical Factorization with BLAS3 and O(n) synchronization >
< Linear system Ax = b>
#equations: 5389726
#non-zeros in A: 42250735
non-zeros in A (%): 0.000145
#right-hand sides: 1
< Factors L and U >
#columns for each panel: 96
#independent subgraphs: 0
< Preprocessing with state of the art partitioning metis>
#supernodes: 2241484
size of largest supernode: 9951
number of nonzeros in L 3046299967
number of nonzeros in U 1
number of nonzeros in L+U 3046299968
gflop for the numerical factorization: 11175.376953
gflop/s for the numerical factorization: 2.747969
------------------------------------------------------------------------------------------------------------
double precision:
Summary PARDISO: ( factorize to factorize )
================
Times:
======
Time A to LU: 0.000000 s
Factorization: Time for writing to files : 0.000000
Factorization: Time for reading from files : 0.000000
Time numfct : 663.914768 s
Time malloc : 0.000054 s
Time total : 663.954133 s total - sum: 0.039310 s
Statistics:
===========
< Parallel Direct Factorization with #processors: > 8
< Numerical Factorization with BLAS3 and O(n) synchronization >
< Linear system Ax = b>
#equations: 5389726
#non-zeros in A: 42250735
non-zeros in A (%): 0.000145
#right-hand sides: 1
< Factors L and U >
#columns for each panel: 96
#independent subgraphs: 0
< Preprocessing with state of the art partitioning metis>
#supernodes: 2241484
size of largest supernode: 9951
number of nonzeros in L 3046299967
number of nonzeros in U 1
number of nonzeros in L+U 3046299968
gflop for the numerical factorization: 11175.376693
gflop/s for the numerical factorization: 16.832547
Link Copied
- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
Described issue looks too strange becauseon our tests single precision version of PARDISO provides significantly better performance than double precision version.So is it possible for you to provide us with your test case? Alsoplease provide us with MKL version you useand withplatform description.
Regards,
Sergey
- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
Hi,
Could you provide us with the following info:
What the iparm(60) do you set? What MKL_PARDISO_OOC_MAX_CORE_SIZE do you set and how much RAM your system has?
Regards, Sergey
- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
Single precision real and complex data support in PARDISO
: http://software.intel.com/en-us/articles/single-precision-real-and-complex-data-support-in-pardiso/, I set iparm(28)=1 for single precision. However, I don't find this instruction in manaul. What's the right way to solve single precision? Just input single precision A,b and x?By the way, I set MKL_PARDISO_OOC_MAX_CORE_SIZE=20000 and my RAM=32G.
- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
PARDISO (pt, &maxfct, &mnum, &mtype, &phase,
&N, (float*)mkl_a, mkl_ia, mkl_ja, &idum, &nrhs,
iparm, &msglvl, &ddum, &ddum, &error);
In adiition, I set iparm(28)=1. However, I got gabage sometime for solution, even though error=0.
- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
According to MKL manual, for single precision mode A, x and b should be offloat type:
A: DOUBLE PRECISION - for real types of matrices (mtype=1,2, -2 and 11) and for double precision PARDISO (iparm(28)=0)
REAL - for real types of matrices (mtype=1, 2, -2 and 11) and for single precision PARDISO (iparm(28)=1)
Regards,
Sergey

- Subscribe to RSS Feed
- Mark Topic as New
- Mark Topic as Read
- Float this Topic for Current User
- Bookmark
- Subscribe
- Printer Friendly Page