aboutsummaryrefslogtreecommitdiff
diff options
context:
space:
mode:
authorAria Shrimpton <me@aria.rip>2024-03-30 00:14:58 +0000
committerAria Shrimpton <me@aria.rip>2024-03-30 00:14:58 +0000
commit05eef0761474d79250f53a81c5fd33faa0894d33 (patch)
tree790f765177f857f65b3c0b58dc47edc45ccac5b9
parent52dacd92654334403955f968b3e655c88bf33500 (diff)
update tasks
-rw-r--r--Tasks.org146
1 files changed, 2 insertions, 144 deletions
diff --git a/Tasks.org b/Tasks.org
index b46518f..4f17575 100644
--- a/Tasks.org
+++ b/Tasks.org
@@ -2,148 +2,6 @@
#+TODO: TODO(t) DOING(w) | DONE(d) BLOCKED(b) CANCELED(c)
#+FILETAGS: :@school:
-* Writing
+* TODO Redraft (#1)
-** TODO Abstract
-
-** TODO Introduction
-
-*** DONE Introduce problem
-
-**** DONE Container types common in programs
-
-**** DONE Functionally identical implementations
-
-**** DONE Large difference in performance
-
-*** DONE Motivate w/ effectiveness claims
-
-*** DONE Overview of aims & approach
-
-**** DONE Scalability to larger projects
-
-**** DONE Ease of integration into existing projects
-
-**** DONE Ease of adding new container types
-
-**** DONE Flexibility of selection
-
-*** TODO Overview of results
-
-** DONE Background
-
-*** DONE Introduce problem
-
-*** DONE Functional vs non-functional requirements
-
-*** DONE Existing approaches & their shortfalls
-
-*** DONE Lead to next chapter
-
-** DONE Design
-
-*** DONE Usage Example
-
-*** DONE Primrose Integration
-
-**** DONE Explain role in entire process
-
-**** DONE Short explanation of selection method
-
-**** DONE Abstraction over backend
-
-*** DONE Building cost models
-
-**** DONE Benchmarks
-
-**** DONE Linear Regression
-
-**** DONE Limitations
-
-*** DONE Profiling applications
-
-**** DONE Data collected
-
-**** DONE Segmentation
-
-*** DONE Selection process & adaptive containers
-
-**** DONE Selection process
-
-**** DONE Adaptive container detection
-
-** DONE Implementation
-
-*** DONE Modifications to Primrose
-
-**** DONE API
-
-**** DONE Mapping trait
-
-**** DONE Resiliency, etc
-
-*** DONE Cost models
-
-**** DONE Benchmarker crate
-
-**** DONE Code generation
-
-**** DONE Chosen benchmarks
-
-**** DONE Fitting
-
-*** DONE Profiling wrapper
-
-**** DONE Use of Drop
-
-**** DONE Generics and stuff
-
-*** DONE Selection / Codegen
-
-**** DONE Selection Algorithm incl Adaptive
-
-**** DONE Implementation w/ const generics
-
-**** DONE Generated code (opaque types)
-
-** DONE Results & Analysis
-
-*** DONE Testing setup, benchmarking rationale
-
-**** DONE Specs and VM setup
-
-**** DONE Reproducibility
-
-*** DONE Cost model analysis
-
-**** DONE Insertion operations
-
-**** DONE Contains operations
-
-**** DONE Comment on some bad/weird ones
-
-**** DONE Conclusion
-
-*** DONE Predictions
-
-**** DONE Chosen benchmarks
-
-**** DONE Effect of selection on benchmarks (spread in execution time)
-
-**** DONE Summarise predicted versus actual
-
-**** DONE Evaluate performance
-
-**** DONE Comment on distribution of best implementation
-
-**** DONE Surprising ones / Explain failures
-
-*** DONE Performance of adaptive containers
-
-**** DONE Find where adaptive containers get suggested
-
-**** DONE Comment on relative performance speedup
-
-**** DONE Suggest future improvements?
-
-** TODO Conclusion
+* TODO Get more feedback