Bump allocation limits

Author: charleskawczynski

perf/benchmark.jl

@@ -49,6 +49,8 @@ are_boundschecks_forced = Base.JLOptions().check_bounds == 1
             if haskey(trials, name)
                 if trials[name].memory ≤ mem
                     @warn "Allocation limits for $name can be reduced to $(trials[name].memory)."
+                else
+                    @info "trials[$name].memory: $(trials[name].memory)"
                 end
                 return trials[name].memory ≤ mem
             else
@@ -58,8 +60,8 @@ are_boundschecks_forced = Base.JLOptions().check_bounds == 1
         end
         @test compare_mem(trials, "Wfact", 0)
         @test compare_mem(trials, "ldiv!", 0)
-        @test compare_mem(trials, "T_imp!", 1000000000000000000000)
-        @test compare_mem(trials, "T_exp_T_lim!", 10496)
+        @test compare_mem(trials, "T_imp!", 96)
+        @test compare_mem(trials, "T_exp_T_lim!", 190420)
         @test compare_mem(trials, "lim!", 0)
         @test compare_mem(trials, "dss!", 0)
         @test compare_mem(trials, "cache!", 120)

perf/flame.jl

@@ -40,12 +40,12 @@ ProfileCanvas.html_file(joinpath(output_dir, "flame.html"), results)
 allocs_limit = Dict()
 allocs_limit["flame_baroclinic_wave_moist_gpu"] = 1_243_048
 allocs_limit["flame_default"] = 99_928
-allocs_limit["flame_default_1m"] = 441_904
+allocs_limit["flame_default_1m"] = 527_712
 allocs_limit["flame_diagnostics"] = 10_677_144
 allocs_limit["flame_aquaplanet_diagedmf"] = 11_644_128
 allocs_limit["flame_aquaplanet_progedmf"] = 697_520
-allocs_limit["flame_aquaplanet_progedmf_dense_autodiff"] = 727_512
-allocs_limit["flame_diffusion"] = 100_360
+allocs_limit["flame_aquaplanet_progedmf_dense_autodiff"] = 774_712
+allocs_limit["flame_diffusion"] = 138_432
 allocs_limit["flame_threaded"] = 2047_736
 allocs_limit["flame_callbacks"] = 391_864
 allocs_limit["flame_gravity_wave"] = 581_381_976