Turn on suggestions

Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type.

Showing results for

- Intel Community
- Software
- Software Development SDKs and Libraries
- Intel® oneAPI Math Kernel Library
- Which MKL routines to use to efficiently diagonalize large, sparse, and hermitian/symmetric matrices?

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

efnacy

New Contributor I

- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Email to a Friend
- Report Inappropriate Content

01-22-2020
06:08 PM

276 Views

Link Copied

4 Replies

Spencer_P_Intel

Employee

- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Email to a Friend
- Report Inappropriate Content

01-22-2020
08:54 PM

276 Views

Hi,

Starting in MKL 2019 release, a new functionality called the Extremal Eigenvalue solvers was introduced for finding a certain number of smallest or largest eigenvalues of a sparse matrix. See MKL Support for Smallest/Largest Eigenvalues for a short article describing what it does and MKL Documentation for Extremal Eigenvalues for the APIs themselves and more details.

Essentially, we have two algorithms available: the Krylov-Schur (similar to Lanczos) method and a subspace projection method that utilizes the FEAST eigensolver technology.

Gennady_F_Intel

Moderator

- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Email to a Friend
- Report Inappropriate Content

01-22-2020
09:01 PM

276 Views

efnacy

New Contributor I

- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Email to a Friend
- Report Inappropriate Content

01-23-2020
03:24 AM

276 Views

Gennady_F_Intel

Moderator

- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Email to a Friend
- Report Inappropriate Content

01-23-2020
05:17 AM

276 Views

These API were introduced since MKL v.2019.

Topic Options

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

For more complete information about compiler optimizations, see our Optimization Notice.