fixing inconsistent line endings, addking talks

fixing inconsistent line endings in json file,
and adding new talk to the talks table

Author: latessa

.gitattributes

@@ -0,0 +1,22 @@
+# Set the default behavior, in case people don't have core.autocrlf set.
+* text=auto
+
+# Explicitly declare text files you want to always be normalized and converted
+# to native line endings on checkout.
+*.c text
+*.h text
+*.cpp text
+*.hpp text
+*.py text
+*.json text
+*.html text
+*.css text
+*.js text
+
+# Declare files that will always have CRLF line endings on checkout.
+*.sln text eol=crlf
+
+# Denote all files that are truly binary and should not be modified.
+*.png binary
+*.jpg binary
+

.github/workflows/htmlvalidator.yaml

@@ -6,9 +6,6 @@ on:
   push:
     branches:
       - main
-  schedule:
-    # run every day at 00:00 UTC
-    - cron: '0 0 * * *'
 
 jobs:
   validate:

data/publications.json

@@ -204,7 +204,7 @@
         "journal": "Computer Physics Communications",
         "volume": "225",
         "pages": "92 - 113",
-        "abstract": "Relativistic fluid dynamics is a major component in dynamical simulations of the quark–gluon plasma created in relativistic heavy-ion collisions. Simulations of the full three-dimensional dissipative dynamics of the quark–gluon plasma with fluctuating initial conditions are computationally expensive and typically require some degree of parallelization. In this paper, we present a GPU implementation of the Kurganov–Tadmor algorithm which solves the 3 + 1d relativistic viscous hydrodynamics equations including the effects of both bulk and shear viscosities. We demonstrate that the resulting CUDA-based GPU code is approximately two orders of magnitude faster than the corresponding serial implementation of the Kurganov–Tadmor algorithm. We validate the code using (semi-)analytic tests such as the relativistic shock-tube and Gubser flow. \\nProgram summary \\nProgram Title: GPU-VH Program Files doi:http://dx.doi.org/10.17632/dhnmtfpz9k.1 Licensing Provisions: GPLv3 Programming language: CUDA C External routines/libraries: Google Test, GNU Scientific Library (GSL) Nature of problem: Dynamical evolution of the fluid dynamic stage of the quark-gluon plasma produced in nuclear collisions Solution method: Kurganov-Tadmor algorithm",
+        "abstract": "Relativistic fluid dynamics is a major component in dynamical simulations of the quark–gluon plasma created in relativistic heavy-ion collisions. Simulations of the full three-dimensional dissipative dynamics of the quark–gluon plasma with fluctuating initial conditions are computationally expensive and typically require some degree of parallelization. In this paper, we present a GPU implementation of the Kurganov–Tadmor algorithm which solves the 3 + 1d relativistic viscous hydrodynamics equations including the effects of both bulk and shear viscosities. We demonstrate that the resulting CUDA-based GPU code is approximately two orders of magnitude faster than the corresponding serial implementation of the Kurganov–Tadmor algorithm. We validate the code using (semi-)analytic tests such as the relativistic shock-tube and Gubser flow. \\nProgram summary \\nProgram Title: GPU-VH Program Files \"doi:http://dx.doi.org/10.17632/dhnmtfpz9k.1\" Licensing Provisions: GPLv3 Programming language: CUDA C External routines/libraries: Google Test, GNU Scientific Library (GSL) Nature of problem: Dynamical evolution of the fluid dynamic stage of the quark-gluon plasma produced in nuclear collisions Solution method: Kurganov-Tadmor algorithm",
         "keywords": "",
         "pubstate": "Published",
         "tppubtype": "Journal Article"