proof of concept, multithread `eval_RJ`

[KristofferC]

The evaluations of the residuals and Jacobians seem independent and it should therefore be possible to evaluate them in parallel. A simple use of the Threads.@threads loop construct gives:

baseline:

julia> @btime eval_RJ(pt, m);
  399.917 μs (6695 allocations: 262.45 KiB)

PR with --threads=8 on an Mac M1 Pro:

julia> @btime eval_RJ(pt, m);
  106.875 μs (6743 allocations: 267.98 KiB)

[codecov-commenter]

Codecov Report

Merging #50 (3e71ab0) into master (7a7dfa8) will decrease coverage by 1.48%. The diff coverage is 69.60%.

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@@            Coverage Diff             @@
##           master      #50      +/-   ##
==========================================
- Coverage   94.43%   92.95%   -1.48%     
==========================================
  Files          15       16       +1     
  Lines        1671     1746      +75     
==========================================
+ Hits         1578     1623      +45     
- Misses         93      123      +30     

Impacted Files	Coverage Δ
src/ModelBaseEcon.jl	100.00% <ø> (ø)
src/metafuncs.jl	100.00% <ø> (ø)
src/precompile.jl	0.00% <0.00%> (ø)
src/evaluation.jl	81.38% <88.09%> (-0.81%)	:arrow_down:
src/equation.jl	94.73% <100.00%> (ø)
src/model.jl	96.80% <100.00%> (+0.17%)	:arrow_up:

... and 1 file with indirect coverage changes

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