Lucid (programming language)

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Paradigm Dataflow
Appeared in 1976
Designed by Edward A. Ashcroft,William W. Wadge
Developer ,Wadge
Typing discipline Typeless
Major implementations pLucid
Dialects GIPSY GLU
Influenced by ISWIM
Influenced SISAL, PureData, Lustre

Lucid is a dataflow programming language. It is designed to experiment with non-von Neumann programming models. It was designed by Bill Wadge and Ed Ashcroft and described in the book Lucid, the Dataflow Programming Language.


[edit] Model

Lucid uses a demand-driven model for data computation. Each statement can be understood as an equation defining a network of processors and communication lines between them through which data flows. Each variable is an infinite stream of values and Every function is a filter or a transformer. Iteration is simulated by 'current' values and 'fby' operator allowing composition of streams.

Lucid is based on an algebra of histories, a history being an infinite sequence of data items. Operationally, a history can be thought of as a record of the changing values of a variable, history operations such as first and next can be understood in ways suggested by their names. Lucid was originally conceived as a kind of very disciplined mathematically pure single assignment language in which verification would be very much simplified. However, the dataflow interpretation has been very important in helping the direction in which Lucid has evolved.[1]

[edit] Details

In Lucid (and other dataflow languages) an expression that contains a variable that was not yet bound waits until the variable is bound before proceeding. An expression like x + y will wait until both x and y are bound before returning with the output of the expression. An important result of this is that explicit logic for updating related values is avoided, which results in substantial code reduction compared to mainstream languages.

Each variable in Lucid is a stream of values. An expression n = 1 fby n + 1 defines a stream using the operator 'fby'. fby (read as 'followed by') defines what comes after the previous expression. (In this instance the stream produces 1,2,3,...). The values in a stream can be addressed by these operators (assuming x is the variable being used):

'first x' - fetches the first value in the stream x,

'x' - the current value of the stream,

'next x' - fetches the next value in the stream.

'asa' - an operator that does some thing 'as soon as' the condition given becomes true.

'x upon p' - upon is an operator that repeats the old value of the stream x, and updates to the new values only when the stream p makes a true value available. (It serves to slow down the stream x) ie: x upon p is the stream x with new values appearing upon the truth of p.

The computation is carried out by defining filters or transformation functions that act on these time-varying streams of data.

pLucid was the first interpreter for Lucid.

[edit] Examples

[edit] Total of a Sequence

     total = 0 fby total + x

[edit] Running Average

     sum = first(input) fby sum + next(input);
     n = 1 fby n + 1;
     running_avg = sum / n;

[edit] Prime Numbers


     prime = 2 fby (n whenever isprime(n));
     n = 3 fby n+2;
     isprime(n) = not(divs) asa divs or prime*prime > N
                       N is current n;
                       divs = N mod prime eq 0;

[edit] Dataflow Diagram

 ---+1<--- -->isprime----
 |         |              |
 |         |              V

[edit] Quick Sort


qsort(a) = if eof(first a) then a else follow(qsort(b0),qsort(b1)) fi
     p = first a < a;
     b0 = a whenever p;
     b1 = a whenever not p;
     follow(x,y) = if xdone then y upon xdone else x fi
                        xdone = iseod x fby xdone or iseod x; 

[edit] Data flow Diagram

    --------> whenever -----> qsort ---------
   |             ^                           |
   |             |                           |
   |            not                          |
   |             ^                           |
   |---> first   |                           |
   |       |     |                           |
   |       V     |                           |
   |---> less ---                            |
   |             |                           |
   |             V                           V
---+--------> whenever -----> qsort -----> conc -------> ifthenelse ----->
   |                                                       ^   ^
   |                                                       |   |
    --------> next ----> first ------> iseod --------------    |
   |                                                           |

[edit] Square Root

     square(x) = x*x;
     avg(y)    = mean
          n = 1 fby n+1;
          mean = first y fby mean + d;
          d = (next y - mean)/(n+1);
     sqroot(z) = approx asa  err < 0.0001
          Z is current z;
          approx = Z/2 fby (approx + Z/approx)/2;
          err    = abs(square(approx)-Z);

[edit] Hamming Problem


     h = 1 fby merge(merge(2 * h, 3 * h), 5 * h);
     merge(x,y) = if xx <= yy then xx else yy fi
          xx = x upon xx <= yy;
          yy = y upon yy <= xx;

[edit] Dataflow Diagram

 |       -------------*3---------|
 |      |           --*5---------|
 |      |          |             |
 |      V          V             |

[edit] External links

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