worrying about it”; the potential value of allowing flexibility on these points is outweighed by the cost of having people argue over them. Be consistent with the broader C++ community when appropriate Consistency constructs, because any benefits of more complex implementation are multiplied widely by usage, and the cost in understanding the complexity does not need to be paid again when working with new portions of the because of implicit member- and base-destructor calls! Another useful rule of thumb: it’s typically not cost effective to inline functions with loops or switch statements (unless, in the common case, the loop

run?  Which hardware & software should be used?  Metrics: What to measure? How to measure?  Comparison: How to compare? CSI: How to find out what is going on? Experiments and Result Presentation [I 2021/22 Baselines  #1 Primary Baseline  Existing algorithm or system infrastructure  Main comparison point, usually with same runtime operations  Beware: Avoid speedup-only results (need absolute

avoid the extra cost of function calls in Python. When more functionality is added you can use property to keep the syntax consistent. On the other hand, if access is more complex, or the cost of accessing

large-scale machine learning  Optimizer and runtime of Apache SystemML  2011 PhD TU Dresden, Germany  Cost-based optimization of integration flows  Systems support for time series forecasting  In-memory