Restore SIMD method placeholders in benchmark files

- Added commented OrdinaryDiffEqSIMDRK imports
- Added commented SIMD method calls (MER5v2, MER6v2, RK6v4)
- Methods will be uncommented when OrdinaryDiffEqSIMDRK becomes publicly available
- Kept Julia 1.10 Manifest intact

Author: ChrisRackauckas

benchmarks/NonStiffODE/FitzhughNagumo_wpd.jmd

@@ -8,9 +8,11 @@ author: Chris Rackauckas
 The purpose of this is to see how the errors scale on a standard nonlinear problem.
 
 ```julia
-using OrdinaryDiffEq, ParameterizedFunctions, ODEInterface,
+using OrdinaryDiffEq, OrdinaryDiffEqCore, ParameterizedFunctions, ODEInterface,
       ODEInterfaceDiffEq, LSODA, Sundials, DiffEqDevTools,
       StaticArrays
+# TODO: Uncomment when OrdinaryDiffEqSIMDRK becomes publicly available
+# using OrdinaryDiffEqSIMDRK
 using Plots;
 gr()
 
@@ -46,7 +48,12 @@ setups = [Dict(:alg=>DP5())
           Dict(:alg=>Tsit5())
           Dict(:alg=>Vern6())
           Dict(:alg=>Tsit5(), :prob_choice => 2)
-          Dict(:alg=>Vern6(), :prob_choice => 2)]
+          Dict(:alg=>Vern6(), :prob_choice => 2)
+          # TODO: Add SIMD methods when OrdinaryDiffEqSIMDRK becomes available
+          # Dict(:alg=>MER5v2(), :prob_choice => 2)
+          # Dict(:alg=>MER6v2(), :prob_choice => 2)
+          # Dict(:alg=>RK6v4(), :prob_choice => 2)
+          ]
 wp = WorkPrecisionSet(probs, abstols, reltols, setups; appxsol = test_sol,
     save_everystep = false, numruns = 100, maxiters = 1000)
 plot(wp)

benchmarks/NonStiffODE/LotkaVolterra_wpd.jmd

@@ -8,8 +8,10 @@ author: Chris Rackauckas
 The purpose of this problem is to test the performance on easy problems. Since it's periodic, the error is naturally low, and so most of the difference will come down to startup times and, when measuring the interpolations, the algorithm choices.
 
 ```julia
-using OrdinaryDiffEq, ParameterizedFunctions, ODEInterfaceDiffEq, LSODA,
+using OrdinaryDiffEq, OrdinaryDiffEqCore, ParameterizedFunctions, ODEInterfaceDiffEq, LSODA,
       Sundials, DiffEqDevTools, StaticArrays
+# TODO: Uncomment when OrdinaryDiffEqSIMDRK becomes publicly available
+# using OrdinaryDiffEqSIMDRK
 
 f = @ode_def LotkaVolterra begin
     dx = a*x - b*x*y
@@ -43,7 +45,12 @@ setups = [Dict(:alg=>DP5())
           Dict(:alg=>Tsit5())
           Dict(:alg=>Vern6())
           Dict(:alg=>Tsit5(), :prob_choice => 2)
-          Dict(:alg=>Vern6(), :prob_choice => 2)]
+          Dict(:alg=>Vern6(), :prob_choice => 2)
+          # TODO: Add SIMD methods when OrdinaryDiffEqSIMDRK becomes available
+          # Dict(:alg=>MER5v2(), :prob_choice => 2)
+          # Dict(:alg=>MER6v2(), :prob_choice => 2)
+          # Dict(:alg=>RK6v4(), :prob_choice => 2)
+          ]
 wp = WorkPrecisionSet(probs, abstols, reltols, setups; appxsol = test_sol,
     save_everystep = false, maxiters = 10000, numruns = 100)
 plot(wp)

benchmarks/NonStiffODE/RigidBody_wpd.jmd

@@ -4,8 +4,10 @@ author: Chris Rackauckas
 ---
 
 ```julia
-using OrdinaryDiffEq, ParameterizedFunctions, ODEInterfaceDiffEq, LSODA,
+using OrdinaryDiffEq, OrdinaryDiffEqCore, ParameterizedFunctions, ODEInterfaceDiffEq, LSODA,
       Sundials, DiffEqDevTools, StaticArrays
+# TODO: Uncomment when OrdinaryDiffEqSIMDRK becomes publicly available
+# using OrdinaryDiffEqSIMDRK
 
 k(t) = 0.25*sin(t)^2
 
@@ -40,7 +42,12 @@ setups = [Dict(:alg=>DP5())
           Dict(:alg=>Tsit5())
           Dict(:alg=>Vern6())
           Dict(:alg=>Tsit5(), :prob_choice => 2)
-          Dict(:alg=>Vern6(), :prob_choice => 2)]
+          Dict(:alg=>Vern6(), :prob_choice => 2)
+          # TODO: Add SIMD methods when OrdinaryDiffEqSIMDRK becomes available
+          # Dict(:alg=>MER5v2(), :prob_choice => 2)
+          # Dict(:alg=>MER6v2(), :prob_choice => 2)
+          # Dict(:alg=>RK6v4(), :prob_choice => 2)
+          ]
 wp = WorkPrecisionSet(probs, abstols, reltols, setups; appxsol = test_sol,
     save_everystep = true, numruns = 100, maxiters = 10000)
 plot(wp)

benchmarks/NonStiffODE/linear_wpd.jmd

@@ -23,7 +23,9 @@ rapid development has its advantages.
 ## Setup
 
 ```julia
-using OrdinaryDiffEq, Sundials, DiffEqDevTools, Plots, ODEInterfaceDiffEq, LSODA
+using OrdinaryDiffEq, OrdinaryDiffEqCore, Sundials, DiffEqDevTools, Plots, ODEInterfaceDiffEq, LSODA
+# TODO: Uncomment when OrdinaryDiffEqSIMDRK becomes publicly available
+# using OrdinaryDiffEqSIMDRK
 using Random
 Random.seed!(123)
 gr()
@@ -56,9 +58,17 @@ setups = [Dict(:alg=>DP5())
           Dict(:alg=>ode45())
           Dict(:alg=>dopri5())
           Dict(:alg=>ARKODE(Sundials.Explicit(), etable = Sundials.DORMAND_PRINCE_7_4_5))
-          Dict(:alg=>Tsit5())]
+          Dict(:alg=>Tsit5())
+          # TODO: Add SIMD methods when OrdinaryDiffEqSIMDRK becomes available
+          # Dict(:alg=>MER5v2())
+          # Dict(:alg=>MER6v2())
+          # Dict(:alg=>RK6v4())
+          ]
 solnames = ["OrdinaryDiffEq"; "ODE"; "ODEInterface"; "Sundials ARKODE";
-            "OrdinaryDiffEq Tsit5"]
+            "OrdinaryDiffEq Tsit5"
+            # TODO: Add SIMD method names when available
+            # ; "MER5v2"; "MER6v2"; "RK6v4"
+            ]
 wp = WorkPrecisionSet(
     prob, abstols, reltols, setups; names = solnames, save_everystep = false, numruns = 100)
 plot(wp)