Adds SCS cuDSS, fixes a typo in the SCS docs, and adds CuClarabel install. (cvxpy#2844)

* Adds SCS cuDSS and fixes a typo in the SCS docs.

* Adds CuClarabel docs

Author: PTNobel

doc/source/install/index.rst

@@ -143,6 +143,14 @@ Install with Additional Solver Support
     Simply install MPAX such that you can ``import mpax`` in Python.
     See the `MPAX <https://github.com/MIT-Lu-Lab/MPAX>`_ website for installation instructions.
 
+.. info:: CuClarabel
+   :collapsible:
+
+   CuClarabel is currently only available in the Julia version of Clarabel.
+   To install CuClarabel, install `Julia <https://julialang.org/install/>`_, and then run in a julia terminal ``Pkg.add(Pkg.PackageSpec(url="https://github.com/oxfordcontrol/Clarabel.jl.git", rev="CuClarabel"))``.
+
+   Then install cupy and juliacall such that you can ``import cupy`` and ``import juliacall`` in Python.
+
 .. info:: XPRESS
     :collapsible:
 

doc/source/tutorial/solvers/index.rst

@@ -612,7 +612,6 @@ Here is the complete list of solver options.
     ``'alpha'``
         relaxation parameter (default: 1.8).
 
-
     ``'acceleration_lookback'``
         Anderson Acceleration parameter for SCS 2.0 and higher. This can be any positive or negative integer;
         its default value is 10. See `this page of the SCS documentation <https://www.cvxgrp.org/scs/algorithm/acceleration.html#in-scs>`_
@@ -630,8 +629,12 @@ Here is the complete list of solver options.
     ``'normalize'``
         whether to precondition data matrices (default: True).
 
+    ``'cudss'``
+        whether to use the cuDSS solver that runs on a GPU (default: False).
+        Must be used with an SCS build that links cuDSS.
+
     ``'use_indirect'``
-        whether to use indirect solver for KKT sytem (instead of direct) (default: True).
+        whether to use indirect solver for KKT sytem (instead of direct) (default: False).
 
     ``'use_quad_obj'``
         whether to use a quadratic objective or reduce it to SOC constraints (default: True).