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This book describes the trends, challenges and solutions in
computing use for scientific research and development within
different domains in Africa, such as health, agriculture,
environment, economy, energy, education and engineering. The
benefits expected are discussed by a number of recognized,
domain-specific experts, with a common theme being computing as
solution enabler. This book is the first document providing such a
representative up-to-date view on this topic at the continent
level.
I am very pleased to play even a small part in the publication of
this book on the SIGNAL language and its environment POLYCHRONY. I
am sure it will be a s- ni?cant milestone in the development of the
SIGNAL language, of synchronous computing in general, and of the
data?ow approach to computation. In data?ow, the computation takes
place in a producer-consumer network of - dependent processing
stations. Data travels in streams and is transformed as these
streams pass through the processing stations (often called ?lters).
Data?ow is an attractive model for many reasons, not least because
it corresponds to the way p-
duction,transportation,andcommunicationare typicallyorganizedin the
real world (outside cyberspace). I myself stumbled into data?ow
almost against my will. In the mid-1970s, Ed Ashcroft and I set out
to design a "super" structured programming language that, we hoped,
would radically simplify proving assertions about programs. In the
end, we decided that it had to be declarative. However, we also
were determined that iterative algorithms could be expressed
directly, without circumlocutions such as the use of a
tail-recursive function. The language that resulted, which we named
LUCID, was much less traditional then we would have liked. LUCID
statements are equations in a kind of executable temporallogic
thatspecifythe (time)sequencesof variablesinvolvedin aniteration.
This book describes the trends, challenges and solutions in
computing use for scientific research and development within
different domains in Africa, such as health, agriculture,
environment, economy, energy, education and engineering. The
benefits expected are discussed by a number of recognized,
domain-specific experts, with a common theme being computing as
solution enabler. This book is the first document providing such a
representative up-to-date view on this topic at the continent
level.
I am very pleased to play even a small part in the publication of
this book on the SIGNAL language and its environment POLYCHRONY. I
am sure it will be a s- ni?cant milestone in the development of the
SIGNAL language, of synchronous computing in general, and of the
data?ow approach to computation. In data?ow, the computation takes
place in a producer-consumer network of - dependent processing
stations. Data travels in streams and is transformed as these
streams pass through the processing stations (often called ?lters).
Data?ow is an attractive model for many reasons, not least because
it corresponds to the way p- duction, transportation,
andcommunicationare typicallyorganizedin the real world (outside
cyberspace). I myself stumbled into data?ow almost against my will.
In the mid-1970s, Ed Ashcroft and I set out to design a "super"
structured programming language that, we hoped, would radically
simplify proving assertions about programs. In the end, we decided
that it had to be declarative. However, we also were determined
that iterative algorithms could be expressed directly, without
circumlocutions such as the use of a tail-recursive function. The
language that resulted, which we named LUCID, was much less
traditional then we would have liked. LUCID statements are
equations in a kind of executable temporallogic thatspecifythe
(time)sequencesof variablesinvolvedin aniteration.
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