| Port details |
- vdt Fast and inline implementations of mathematical functions
- 0.4.6 math
 =2      0.4.6Version of this port present on the latest quarterly branch. - Maintainer: erik@tenku.dk
- Port Added: 2022-12-26 08:18:08
- Last Update: 2025-04-09 18:25:22
- Commit Hash: 2a03c69f
- People watching this port, also watch:: jdictionary, py311-Automat, py311-python-gdsii, py311-PyOpenGL, p5-Sane
- Also Listed In: devel science
- License: LGPL3+
- WWW:
- https://github.com/dpiparo/vdt
- Description:
- vectorised math:
- A collection of fast and inline implementations of mathematical functions.
- The functions can be used in autovectorised loops.
- Double and single precision implementations are available.
- No overhead present, no intrinsics used.
- A scalar (T(T)) and array signature (void(const unsigned int,T*,T*))
are provided.
Born and developed at CERN, it is used, among the others, by LHC
experiments and the Geant4 simulation toolkit.
Much of the VDT code is inspired by the well known Cephes mathematical
library.
  ¦  ¦  ¦  ¦ 
- Manual pages:
- FreshPorts has no man page information for this port.
- pkg-plist: as obtained via:
make generate-plist - USE_RC_SUBR (Service Scripts)
- no SUBR information found for this port
- Dependency lines:
-
- To install the port:
- cd /usr/ports/math/vdt/ && make install clean
- To add the package, run one of these commands:
- pkg install math/vdt
- pkg install vdt
NOTE: If this package has multiple flavors (see below), then use one of them instead of the name specified above.- PKGNAME: vdt
- Flavors: there is no flavor information for this port.
- distinfo:
- TIMESTAMP = 1744221062
SHA256 (dpiparo-vdt-v0.4.6_GH0.tar.gz) = 1820feae446780763ec8bbb60a0dbcf3ae1ee548bdd01415b1fb905fd4f90c54
SIZE (dpiparo-vdt-v0.4.6_GH0.tar.gz) = 60081
Packages (timestamps in pop-ups are UTC):
- Dependencies
- NOTE: FreshPorts displays only information on required and default dependencies. Optional dependencies are not covered.
- Build dependencies:
-
- cmake : devel/cmake-core
- ninja : devel/ninja
- This port is required by:
- for Libraries
-
- devel/root
Configuration Options:- No options to configure
- Options name:
- math_vdt
- USES:
- cmake
- FreshPorts was unable to extract/find any pkg message
- Master Sites:
|
| Commit History - (may be incomplete: for full details, see links to repositories near top of page) |
| Commit | Credits | Log message |
|---|
0.4.6
09 Apr 2025 18:25:22
 |
Nuno Teixeira (eduardo)
Author: Erik Jensen |
math/vdt: Update to 0.4.6
ChangeLog: https://github.com/dpiparo/vdt/blob/master/ReleaseNotes.txt
PR: 285991 |
0.4.4
26 Dec 2022 08:16:37
|
Nuno Teixeira (eduardo)
Author: Erik Jensen |
math/vdt: New port: Fast and inline implementations of mathematical functions
vectorised math:
- A collection of fast and inline implementations of mathematical functions.
- The functions can be used in autovectorised loops.
- Double and single precision implementations are available.
- No overhead present, no intrinsics used.
- A scalar (T(T)) and array signature (void(const unsigned int,T*,T*))
are provided.
Born and developed at CERN, it is used, among the others, by LHC
experiments and the Geant4 simulation toolkit.
Much of the VDT code is inspired by the well known Cephes mathematical
library.
WWW: https://github.com/dpiparo/vdt
PR: 267717, 268292 |
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