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doc/proposals/concurrency/text/cforall.tex
ra2ea829 r3628765 1 1 % ====================================================================== 2 2 % ====================================================================== 3 \chapter{Cforall Overview}3 \chapter{Cforall crash course} 4 4 % ====================================================================== 5 5 % ====================================================================== 6 6 7 Th e following is a quick introduction to the \CFAlanguage, specifically tailored to the features needed to support concurrency.7 This thesis presents the design for a set of concurrency features in \CFA. Since it is a new dialect of C, the following is a quick introduction to the language, specifically tailored to the features needed to support concurrency. 8 8 9 \CFA is a extension of ISO-C and therefore supports all of the same paradigms as C. It is a non-object oriented system language, meaning most of the major abstractions have either no runtime overhead or can be opt-out easily. Like C, the basics of \CFA revolve around structures and routines, which are thin abstractions over machine code. The vast majority of the code produced by the \CFA translator respects memory-layouts and calling-conventions laid out by C. Interestingly, while \CFA is not an object-oriented language, lacking the concept of a receiver (e.g., this), it does have some notion of objects\footnote{C defines the term objects as : ``region of data storage in the execution environment, the contents of which can represent 10 values''\cite[3.15]{C11}}, most importantly construction and destruction of objects. Most of the following code examples can be found on the \CFA website \cite{www-cfa} 9 \CFA is a extension of ISO-C and therefore supports all of the same paradigms as C. It is a non-object oriented system language, meaning most of the major abstractions have either no runtime overhead or can be opt-out easily. Like C, the basics of \CFA revolve around structures and routines, which are thin abstractions over machine code. The vast majority of the code produced by the \CFA translator respects memory-layouts and calling-conventions laid out by C. Interestingly, while \CFA is not an object-oriented language, lacking the concept of a received (e.g.: this), it does have some notion of objects\footnote{C defines the term objects as : [Where to I get the C11 reference manual?]}, most importantly construction and destruction of objects. Most of the following pieces of code can be found on the \CFA website \cite{www-cfa} 11 10 12 11 \section{References} 13 12 14 Like \CC, \CFA introduces re bindable references providing multiple dereferecing as an alternative to pointers. In regards to concurrency, the semantic difference between pointers and references are not particularly relevant, but since this document uses mostly references, here is a quick overview of the semantics:13 Like \CC, \CFA introduces references as an alternative to pointers. In regards to concurrency, the semantics difference between pointers and references are not particularly relevant but since this document uses mostly references here is a quick overview of the semantics : 15 14 \begin{cfacode} 16 15 int x, *p1 = &x, **p2 = &p1, ***p3 = &p2, 17 &r1 = x, &&r2 = r1, &&&r3 = r2;16 &r1 = x, &&r2 = r1, &&&r3 = r2; 18 17 ***p3 = 3; //change x 19 18 r3 = 3; //change x, ***r3 … … 26 25 sizeof(&ar[1]) == sizeof(int *); //is true, i.e., the size of a reference 27 26 \end{cfacode} 28 The important t ake away from this code example is that references offer a handle to an object, much like pointers, but which is automatically dereferenced for convinience.27 The important thing to take away from this code snippet is that references offer a handle to an object much like pointers but which is automatically derefferenced when convinient. 29 28 30 29 \section{Overloading} 31 30 32 Another important feature of \CFA is function overloading as in Java and \CC, where routine s with the same name are selected based on the numberand type of the arguments. As well, \CFA uses the return type as part of the selection criteria, as in Ada\cite{Ada}. For routines with multiple parameters and returns, the selection is complex.31 Another important feature of \CFA is function overloading as in Java and \CC, where routine with the same name are selected based on the numbers and type of the arguments. As well, \CFA uses the return type as part of the selection criteria, as in Ada\cite{Ada}. For routines with multiple parameters and returns, the selection is complex. 33 32 \begin{cfacode} 34 33 //selection based on type and number of parameters … … 46 45 double d = f(4); //select (2) 47 46 \end{cfacode} 48 This feature is particularly important for concurrency since the runtime system relies on creating different types to represent concurrency objects. Therefore, overloading is necessary to prevent the need for long prefixes and other naming conventions that prevent name clashes. As seen in chapter \ref{basics}, routine \code{main}is an example that benefits from overloading.47 This feature is particularly important for concurrency since the runtime system relies on creating different types to represent concurrency objects. Therefore, overloading is necessary to prevent the need for long prefixes and other naming conventions that prevent name clashes. As seen in chapter \ref{basics}, routines main is an example that benefits from overloading. 49 48 50 49 \section{Operators} 51 Overloading also extends to operators. The syntax for denoting operator-overloading is to name a routine with the symbol of the operator and question marks where the arguments of the operation occur, e.g.:50 Overloading also extends to operators. The syntax for denoting operator-overloading is to name a routine with the symbol of the operator and question marks where the arguments of the operation would be, like so : 52 51 \begin{cfacode} 53 52 int ++? (int op); //unary prefix increment … … 102 101 103 102 \section{Parametric Polymorphism} 104 Routines in \CFA can also be reused for multiple types. This capability is done using the \code{forall} clause which gives \CFA its name. \code{forall} clauses allow separately compiled routines to support generic usage over multiple types. For example, the following sum function works for any type that supportsconstruction from 0 and addition :103 Routines in \CFA can also be reused for multiple types. This is done using the \code{forall} clause which gives \CFA it's name. \code{forall} clauses allow seperatly compiled routines to support generic usage over multiple types. For example, the following sum function will work for any type which support construction from 0 and addition : 105 104 \begin{cfacode} 106 105 //constraint type, 0 and + … … 117 116 \end{cfacode} 118 117 119 Since writing constraints on types can become cumbersome for more constrained functions, \CFA also has the concept of traits. Traits are named collection of constraints thatcan be used both instead and in addition to regular constraints:118 Since writing constraints on types can become cumbersome for more constrained functions, \CFA also has the concept of traits. Traits are named collection of constraints which can be used both instead and in addition to regular constraints: 120 119 \begin{cfacode} 121 120 trait sumable( otype T ) { … … 131 130 132 131 \section{with Clause/Statement} 133 Since \CFA lacks the concept of a receiver, certain functions end-up needing to repeat variable names often . To remove this inconvenience, \CFA provides the \code{with} statement,which opens an aggregate scope making its fields directly accessible (like Pascal).132 Since \CFA lacks the concept of a receiver, certain functions end-up needing to repeat variable names often, to solve this \CFA offers the \code{with} statement which opens an aggregate scope making its fields directly accessible (like Pascal). 134 133 \begin{cfacode} 135 134 struct S { int i, j; }; 136 int mem(S & this) with (this)//with clause135 int mem(S & this) with this //with clause 137 136 i = 1; //this->i 138 137 j = 2; //this->j … … 141 140 struct S1 { ... } s1; 142 141 struct S2 { ... } s2; 143 with (s1)//with statement142 with s1 //with statement 144 143 { 145 144 //access fields of s1 146 145 //without qualification 147 with (s2)//nesting146 with s2 //nesting 148 147 { 149 148 //access fields of s1 and s2 … … 151 150 } 152 151 } 153 with (s1, s2)//scopes open in parallel152 with s1, s2 //scopes open in parallel 154 153 { 155 154 //access fields of s1 and s2
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