diff options
| -rw-r--r-- | thesis/Justfile | 6 | ||||
| -rw-r--r-- | thesis/parts/implementation.tex | 6 |
2 files changed, 6 insertions, 6 deletions
diff --git a/thesis/Justfile b/thesis/Justfile index 2805cb0..4e71af3 100644 --- a/thesis/Justfile +++ b/thesis/Justfile @@ -1,10 +1,10 @@ default: build build: - cd thesis/; latexmk -bibtex -pdf + latexmk -bibtex -pdf watch: - cd thesis/; latexmk -bibtex -pdf -pvc + latexmk -bibtex -pdf -pvc clean: - cd thesis/; latexmk -c + latexmk -c diff --git a/thesis/parts/implementation.tex b/thesis/parts/implementation.tex index 4faa8a8..884f675 100644 --- a/thesis/parts/implementation.tex +++ b/thesis/parts/implementation.tex @@ -20,14 +20,14 @@ each trait has its own set of benchmarks, which run different workloads benchmarker trait doesn't have Ns example benchmarks for hashmap and vec -\code{candelabra::cost::benchmark} generates code which just calls candelabra_benchmarker methods +\code{candelabra::cost::benchmark} generates code which just calls \code{candelabra\_benchmarker} methods Ns are set there, and vary from [...] fitting done with least squares in \code{candelabra::cost::fit} list other methods tried simple, which helps 'smooth out' noisy benchmark results -profiler type in \code{primrose_library::profiler}} +profiler type in \code{primrose\_library::profiler} wraps an 'inner' implementation and implements whatever operations it does, keeping track of number of calls on drop, creates new file in folder specified by env variable @@ -37,7 +37,7 @@ each drop generates a file, so we get details of every individual collection all \todo{immediately aggregate these into summary statistics, for speed} \todo{mention benchmark repetition} -estimate a cost for each candidate: op(avg_n) * op_times for each op +estimate a cost for each candidate: op(avg\_n) * op\_times for each op pick the smallest one \todo{update for nsplit stuff} \todo{mention difficulties with lazy vecs} |