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Merge remote-tracking branch 'upstream/master' into latest_master
- contains fix for github.com/fangq/issues/191
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if(exist(file_in_loadpath('mcx.mex'))) | ||
autoload('mcx',file_in_loadpath('mcx.mex')) | ||
else | ||
autoload('mcx',file_in_loadpath(['octave' filesep regexprep(computer('arch'), 'darwin[0-9.]+-', 'darwin-') filesep 'mcx.mex'])) | ||
end |
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# Created with YamlCreate.ps1 v2.1.2 $debug=AUSU.5-1-19041-1320 | ||
# yaml-language-server: $schema=https://aka.ms/winget-manifest.installer.1.1.0.schema.json | ||
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||
PackageIdentifier: coti.mcxstudio | ||
PackageVersion: v2023 | ||
MinimumOSVersion: 10.0.0.0 | ||
InstallerType: inno | ||
Scope: machine | ||
Installers: | ||
- Architecture: x64 | ||
InstallerUrl: https://mcx.space/nightly/release/v2023/MCXStudio-v2023-installer.exe | ||
InstallerSha256: afc561cfc332b5fe0339e5058e127656e763a7c17b7f8d53e7fed43176326a7d | ||
ManifestType: installer | ||
ManifestVersion: 1.1.0 |
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# Created with YamlCreate.ps1 v2.1.2 $debug=AUSU.5-1-19041-1320 | ||
# yaml-language-server: $schema=https://aka.ms/winget-manifest.defaultLocale.1.1.0.schema.json | ||
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||
PackageIdentifier: coti.mcxstudio | ||
PackageVersion: v2023 | ||
PackageLocale: en-US | ||
Publisher: COTILab | ||
PublisherUrl: https://mcx.space | ||
PublisherSupportUrl: https://groups.google.com/g/mcx-users | ||
# PrivacyUrl: | ||
Author: Qianqian Fang | ||
PackageName: MCX Studio | ||
PackageUrl: https://sourceforge.net/projects/mcx/ | ||
License: GNU General Public License v3.0 (GPL-3.0) | ||
LicenseUrl: https://github.com/fangq/mcx/blob/v2023/LICENSE.txt | ||
Copyright: Copyright (c) 2010-2023 Qianqian Fang <q.fang at neu.edu> | ||
CopyrightUrl: https://github.com/fangq/mcx/blob/v2023/LICENSE.txt | ||
ShortDescription: Monte Carlo eXtreme (MCX) - Physically accurate and validated GPU ray-tracer | ||
Description: Monte Carlo eXtreme, or MCX, is a Monte Carlo photon simulator for modeling light transport in 3D turbid media. It uses NVIDIA graphics processing units (GPUs) to simulate thousands of photons simultaneously, making it one of the fastest and most accurate photon modeling tools. | ||
Moniker: mcxstudio | ||
Tags: | ||
- science | ||
- physics | ||
- optics | ||
- cuda | ||
- gpu | ||
- biophotonics | ||
- monte-carlo | ||
- neurojson | ||
# Agreements: | ||
ReleaseNotes: |- | ||
New Features | ||
- Introduced Split voxel MC (SVMC) to accurately model curved boundaries | ||
- GPU polarized light modeling (Stokes) with 900x speedup | ||
- RF replay to build frequency-domain Jacobians for amplitude and phase | ||
- Web-based MCX Cloud platform including web-client and server scripts | ||
- pymcx - an mcxlab-like Python module for running MCX simulations in Python | ||
- Added Debian/Ubuntu packages for easy installation | ||
- Added a unified command line interface, photon, to call mcx/mcxcl/mmc | ||
- Fine-tuned Windows installer | ||
- Extensively developed Github Action for automated building and packaging of mcx | ||
- Adopted standardized NeuroJSON JNIfTI and JData formats to ease data exchange | ||
- New source types include hyperboloid and ring (annulus,annulus sector) | ||
ReleaseNotesUrl: http://mcx.space/wiki/index.cgi?Doc/ReleaseNotes/v2023 | ||
ManifestType: defaultLocale | ||
ManifestVersion: 1.1.0 |
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# Created with YamlCreate.ps1 v2.1.2 $debug=AUSU.5-1-19041-1320 | ||
# yaml-language-server: $schema=https://aka.ms/winget-manifest.version.1.1.0.schema.json | ||
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PackageIdentifier: coti.mcxstudio | ||
PackageVersion: v2023 | ||
DefaultLocale: en-US | ||
ManifestType: version | ||
ManifestVersion: 1.1.0 |
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