wiki:PIL

Version 10 (modified by siegel, 19 months ago) ( diff )

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PIL: Parallel Intermediate Language

Basic Properties

  1. PIL programs are target of translators from C, Fortran, MPI/OpenMP/etc. They can also be written by humans.
  2. PIL should be a high-level language like CIVL-C.
  3. PIL programs can be easily translated to PFG.
  4. PIL must also have a totally well-defined semantics and syntax.
  5. PIL programs can have nested funtion definitions.
  6. PIL programs can use preprocessor directives like in C
  7. There are no automatic conversions. All must be done by explicit casts.
  8. $input/$output variables in global scope (like CIVL-C)
  9. Identifiers are like in C, e.g., x, f10, ...
  10. Keywords, functions, etc. not in C start with $ (like CIVL-C)
  11. Libraries: similar to C, #include <stdlib.h>, but these name PIL libraries and there are additional PIL libraries
  12. PIL programs can be divided into multiple files (translation units)
    1. One TU can refer to a variable, function, type, in another TU.
    2. the variable just needs to be declared somewhere in the TU
    3. the function just needs a prototype somewhere in the TU
    4. the use of "static" in a variable decl or function def makes it private to that TU (so two can have same name)
    5. no need for "extern"
    6. at most one of the TUs declaring the variable can have an initializer
    7. at most one of the TUs can have a definition for a function
  13. Program order:
    1. a program is a sequence of variable, function, and type definitions.
    2. the order is totally irrelevant.
    3. a variable can be used anywhere it is in scope
    4. a function can be called anywhere it is in scope

Types

  • type names are used for all declarations (no C declarators). Examples:
    • $int[]: array of integer
    • $int*: pointer to integer
    • $int*[]: array of pointer to integer
    • $int[]*: pointer to array of integer
    • $int*[]($real): function from Real to array of pointer to integer
  • basic types:
  • what are the limits of these types? to be decided
  • $int, $real (mathematical types)
  • struct: as in C
  • union: as in C
  • T[]: sequence of T. Note: no "T[n]". sequences can be assigned, returned, passed as arguments, etc.
  • $set<T> : finite set of T, ops to add, contains, remove, size, ...
  • $map<T1,T2> : finite map from T1 to T2, ops to put, get, containsKey, ...
  • $fun<T1,T2> : "logic functions": deterministic, total, side-effect free functions from T1 to T2
  • $tuple<T,...> : tuples of specified type (similar to struct)
  • $rel<T,...> : relations of specified type (set of tuples)
  • T*: pointer to T
    • what can be pointed to: var, array element, struct element, union member, ...
  • Type definitions: typedef typename ID;

Functions

There are two kinds of functions in PIL:

  1. Imperative functions = "procedures". A procedure has a type of the form R(T1,...,Tn) where R is the return type and the Ti are the input types.
  2. Logic functions. One of these has a type of the form $fun<R,T1,...,Tn>.

Procedures

A procedure is similar to a C function. It consumes some values of a specified type and possibly returns a value of a specified type. Procedure definitions look like C function definitions:

  R f(T1 x1, ..., Tn xn) { stmts }

defines a procedure named f which consumes inputs of types T1, ..., Tn and returns a value of type R. R can be void if the procedure does not return a value.

The definition above defines a constant f of type R(T1, ..., Tn). Procedures are first-class values. One may declare a variable of type R(T1, ..., Tn), a procedure may return a value of that type, a procedure may consume a value of that type, a value of that type may be assigned to a variable, etc. Hence the procedure type is just like any other type, and procedure definitions define new constants of that type, just as 1 is a constant of type $int. Note this is different from C in that C uses function pointers; PIL dispenses with the need for function pointers.

A procedure call expression has the usual form g(e1, ..., en). This is an expression that can be used anywhere an expression with side-effects is allowed. Here, g is an expression of functional type, say R(T1, ..., Tn), and ei is an expression of type Ti (for i=1, ..., n). The procedure call expression has type R.

Procedure calls can have side-effects, be nondeterministic, and the behavior can depend on non-local state; they may access any variable in scope, the statements may dereference pointers, etc.

  int f(int x) { return x+1; }  // f is a constant of type int(int)
  int callon1( (int)int g ) {
    return g(1);
  }
  ...
  int y = callon1(f); // y is now 2

Procedure definitions can be nested. It is an error to call a procedure f when f is not in scope. (This is similar to Gnu C.) In other words, if the call takes place in dyscope d, then the definition of f must be in d's static scope, or in the parent of d's static scope, or its parent, etc.

There is a second way to specify a procedure, using a lambda expression, which is described below.

Logic functions

Logic functions are a certain class of functions that have no side-effects, and are deterministic total functions of their arguments and the current state. A logic function has a type of the form $fun<R,T1,...,Tn>, logical functions which consume inputs of type T1, ..., Tn and return a value of type R.

Logic functions are also first-class objects in PIL. An application of a logic function f(x1,... ,xn) is a side-effect-free expression that can be used anywhere an expression is allowed. A logic function is not necessarily pure, i.e., the value of an application may depend on any part of the state, not just the arguments.

Despite the apparent similarity with procedures, logic functions and procedures are clearly distinguished and one cannot be converted to another.

A logic function can be defined as follows:

  $logic R f(T1 x1, ..., xn) = expr;

where expr is a side-effect-free expression of type R and can refer to any variables in scope.

Misc.

Both procedure and logic function definitions can be templated, e.g.,

       <T1,T2> int f($map<T1,T2> f, T1 x) { ... }
       <T1,T2> $logic int g($map<T1,T2> f, T1 x) { ... }

This defines one procedure for each assignment of types to the Ti.

Both kinds of functions can be declared without providing definitions, indicating that the definition can be found in a different translation unit:

  int f(int x);
  $logic int g(int x);

Lambda expressions

Lambda expressions can be used to define functions that are anonymous and that are closures, i.e., have an associated environment that persists for the life of the function.

A lambda expression that specifies a procedure closure has the form:

  $lambda [U1 v1=init1; ... Um vm=initm;] R (T1 x1, ..., Tn xn) { S1; ... }

where

  • the Ti and Uj are types
  • the xi and vj are variables
  • R is a type (the return type), which may be void
  • {S1; ...} is a block (same as in a procedure definition)
  • if R is not void, the block must return a value of type R
  • the only variables that can occur free in the block are the xi and vj.

The type of this expression is R(T1, ..., Tn). The resulting value of this is type is a procedure which can be called or assigned to a variable, etc., just like any other procedure value.

Note that the definition can only use the specified variables. Evaluating this expression yields a closure, which is a pair consisting of a dyscope and the body of the procedure. The dyscope has variables vj, which are initialized by evaluating the initj when the lambda expression is evaluated. The body of the procedure may read and write to the vj. That dyscope has no parent and will live as long as the procedure is around. Hence a function may return a closure and that closure may still be called at any time, anywhere in the program, regardless of whether the original lambda expression is in scope.

When a procedure closure is called, a new dyscope is created whose parent dyscope is the dyscope of the closure. In the new dyscope, the formal parameters are assigned the actual values and procedure is executed in that scope. When it returns, the new dyscope is removed.

A lambda expression that specifies a logic function has the form

  $lambda [U1 v1=init1; ... Um vm=initm;] R (T1 x1, ..., Tn xn) expr

where

  • the Ti and Uj are types
  • the xi and vj are variables
  • R is a type (the return type), which cannot be void
  • expr is a side-effect-free expression of type R
  • the only variables that can occur free in expr are the xi and vj.

The type of this expression is $fun<R, T1, ..., Tn>. As with procedural lambdas, this yields a logic function with a dynamic scope that persists, so can be called anywhere, even after the lambda expression goes out of scope.

In both cases, the initializer expressions initj are expressions using any variables in scope.

Tuples

Non-mutating expressions:

  • t1 == t2
  • t.i
  • ($tuple<T1,...>){ x1, ... }
  • $logic $tuple<T1,...> $tuple_write($tuple<T1,...> t, $int i, Ti x);

Mutating expressions:

  • t.i = x;

Sets

Non-mutating expressions:

  • s1 == s2
  • ($set<T>)$empty empty set of type T
  • $logic _Bool $set_in(T x, $set<T> s); is x an element of s?
  • $logic $set<T> $set_with($set<T> s, T x); s U {x}
  • $logic $set<T> $set_without($set<T> s, T x); s - {x}
  • $logic $set<T> $set_union($set<T> s1, $set<T> s2); s1 U s2
  • $logic $set<T> $set_difference($set<T> s1, $set<T> s2); s1-s2
  • $logic $set_intersection($set<T> s1, $set<T> s2); s1 \cap s2
  • $logic T[] $set_elements($set<T> s);
  • $logic _Bool $set_isSubsetOf($set<T> s1, $set<T> s2);
  • $logic $set<U> $set_map($set<T> s, $fun<T,U> f);

Mutating procedures:

  • _Bool $set_add($set<T> * this, T x);
  • _Bool $set_remove($set<T> * this, T x);
  • void $set_addAll($set<T> * this, $set<T> that);
  • void $set_removeAll($set<T> * this, $set<T> that);
  • void $set_keepOnly($set<T> * this, $set<T> that);

Sequences (arrays)

Non-mutating expressions:

  • a1 == a2
  • a[i]
  • (T[]){ x1, ... }

Logic functions:

  • $logic T[] $seq_fun($int len, $fun<$int,T> f);
  • $logic T[] $seq_uniform($int n, T val);
  • $logic $int $length(T[] a); length of a
  • $logic T[] $seq_write(T[] a, int i, T x); a[i:=x]
  • $logic T[] $seq_subseq(T[] a, int i, int n); a[i..i+n-1]
  • $logic T[] $seq_without(T[] a, int i); a with position i removed
  • $logic T[] $seq_with(T[] a, int i, T x);
  • $logic T[] $seq_concat(T[] a1, T[] a2);
  • $logic U[] $seq_map(T[] a, $fun<T,U> f);
  • $logic T[] $seq_filter(T[] a, $fun<T,_Bool> f);
  • $logic U $seq_foldl(T[] a, $fun<$tuple<T,U>,U> f, U init);
  • $logic U $seq_foldr(T[] a, $fun<$tuple<T,U>,U> f, U init);

Mutating expressions:

  • a[i]=x;

Mutating procedures:

  • T $seq_remove(T[] * this, int i);
  • void $seq_insert(T[] * this, int i, T x);
  • void $seq_append(T[] * this, T[] that);

Maps

Non-mutating expressions:

  • m1 == m2
  • ($map<K,V>)$empty
  • $logic V $map_get($map<K,V> K key);
  • $logic _Bool $map_containsKey($map<K,V> map, K key);
  • $logic _Bool $map_containsValue($map<K,V> map, V val);
  • $logic $map<K,V> $map_with($map<K,V> map, K key, V val);
  • $logic $map<K,V> $map_without($map<K,V> map, K key);
  • $logic $set<K> $map_keys($map<K,V> map);
  • $logic $set<$tuple<K,V>> $map_entries($map<K,V> map);

Mutating procedures:

  • V $map_put($map<K,V> * this, K key, V val);
  • V $map_remove($map<K,V> * this, K key);
  • void $map_removeAll($map<K,V> * this, $set<K> keys);
  • void $map_addAll($map<K,V> * this, $map<K,V> that);

Heaps

There is a single heap for dynamic allocation. The following built-in procedures are provided:

  • T* $new<T>(): creates an object A of type T in heap and returns &A.
  • T* $alloc<T>(int n): creates an array A of length n of T in heap and returns &A[0].
  • void $free<T>(T* p): frees the object referred to by p, the pointer returned by an earlier call to $new or $alloc.

Questions

  • how to deal with "undefined" values?
  • can there be nondeterministic expressions, i.e., expressions that evaluate to a set of values instead of one value?
  • how to implement C's malloc?

Ideas on malloc:

Union of all types occurring in program:

typedef union {
  T1 t1;
  T2 t2;
  ...
} BigUnion;

A call to malloc returns a memory block:

  • size (in bytes) (int)
  • num_elements (int)
  • sequence of tuples:
    • offset (int)
    • size (int)
    • value (type BigUnion)
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