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Sometimes a defect doesn t manifest unless the system is under load. In these cases, the system may slow down but not produce any errors. How do you find those types of problems You need a way to examine the system while it is running. This process is called profiling. Some authors group profiling with debugging and while I would hesitate to say that profiling isn t a debugging tool, profiling is more than a debugging tool. Profiling allows you to identify performance bottlenecks and potential problems before they are detected in the benchmarks. However, profiling is usually done after a problem is detected and sometimes as a means to determine its origins. The types of things you can discover or monitor using profiling include memory and disk consumption, CPU usage, I/O usage, system response time, and many other system parameters. The term profile (or profiler) is sometimes confused with performing the measurement of the targeted system parameters. The identification of the performance metric is called a diagnostic operation or technique (sometimes called a trace). A system that manages these diagnostic operations and permits you to run them against a system is called a profiler. Therefore, profiling is the application of diagnostic operations using a profiler. Profilers typically produce reports that include machine-readable recordings of the system during a fixed period of time. These types of performance measurements are commonly called traces because they trace the path of the system over time. Other profilers are designed

However, sometimes the declaration point of these variables is made explicit in output from tools and the F# compiler. For example, you may see this: val map<'T,'U> : ('T -> 'U) -> 'T list -> 'U list Frequently, type variables have an implicit scope, governed by the rules of automatic generalization discussed in the section Writing Generic Functions. This means you can introduce type variables simply by writing them as part of the type annotations of a function: let rec map (f : 'T -> 'U) (l : 'T list) = match l with | h :: t -> f h :: map f t | [] -> [] If you want, you can also write the type parameters explicitly on a declaration. You typically have to use each type variable at least once in a type annotation in order to relate the type parameters to the actual code: let rec map<'T,'U> (f : 'T -> 'U) (l : 'T list) = match l with | h :: t -> f h :: map f t | [] -> []

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This is because the overloaded operator + defaults to operating on integers. If you add type annotations or further type constraints, you can force the function to operate on any particular type supporting the overloaded + operator: let twiceFloat (x:float) = x + x

Note By convention, uppercase type-variable names are used for user-declared type parameters, and

to produce human-readable printouts that detail specifics of what portion of the system executed the longest or, more commonly, where the system spent most of its time. This type of profiler is typically used to monitor resources such as I/O, memory, CPU, and threads or processes. For example, you can discover what commands or functions your threads and processes are performing. If your system records additional metadata in the thread or process headers, you may also discover performance issues with thread or process blocking and deadlocks.

The information that resolves a use of an overloaded operator can come after the use of the operator: let threeTimes x = (x + x + x) let sixTimesInt64 (x:int64) = threeTimes x + threeTimes x val threeTimes : int64 -> int64 val sixTimesInt64 : int64 -> int64 Note how the constraint in the definition of sixTimesInt64 is the only mention of int64 and has affected the type of threeTimes. The technical explanation is that overloaded operators such as + give rise to floating constraints, which can be resolved later in the type inference scope.

lowercase names are used for inferred type parameters. In general, the style TypeName<'T> is preferred for F# types, although for historical reasons the style 'T TypeName is used for list, option, reference and array types.

Note An example of deadlocking is when a process has a lock (exclusive access) to one resource and is

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