add performance tipcs to documentation

Author: itsdfish

docs/make.jl

@@ -65,6 +65,7 @@ makedocs(
             "Changing the Layout" => "layout.md",
             "Plot Model Process" => "plot_model.md"
         ],
+        "Performance Tips" => "performance_tips.md",
         "API" => "api.md",
         "Developer Guide" => "developer_guide.md"
     ]

docs/src/performance_tips.md

@@ -0,0 +1,15 @@
+# Performance Tips
+
+## General Tips
+
+In Julia, high performance can be achieved by following a small set of principles, such as avoiding global variables, avoding heterogenous containers, and placing performance critical code in a function. The same basic principles apply when using `SequentialSamplingModels.jl`. See the [Julia documentation](https://docs.julialang.org/en/v1/manual/performance-tips/) for more details.
+
+## Turing
+
+Turing provides three general recommendations for developing performant code:
+
+1. Ensure types are inferable using principles defined in the [Julia documentation](https://docs.julialang.org/en/v1/manual/performance-tips/)
+2. Use Multivariate distributions in place of Univariate distributions when applicable. 
+3. Use forward mode automatic differentiation when your model has a small number of parameters (i.e., 5-10), and use reverse mode automatic differentiation for larger models. 
+
+See the [Turing documentation](https://turinglang.org/docs/tutorials/docs-13-using-turing-performance-tips/) for more details. Note that the Turing ecosystem provides a benchmarking package, [TuringBenchmarking.jl](https://turinglang.org/TuringBenchmarking.jl/dev/) to aid in the selection of an automatic differentiation backend.