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Books > Computing & IT > Computer hardware & operating systems > Computer architecture & logic design
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Efficient Polymorphic Calls (Hardcover, 2001 ed.)
Loot Price: R4,594
Discovery Miles 45 940
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Efficient Polymorphic Calls (Hardcover, 2001 ed.)
Series: The Springer International Series in Engineering and Computer Science, 596
Expected to ship within 12 - 17 working days
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Donate to Against Period Poverty
Total price: R4,614
Discovery Miles: 46 140
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The implementation of object-oriented languages has been an active
topic of research since the 1960s when the first Simula compiler
was written. The topic received renewed interest in the early 1980s
with the growing popularity of object-oriented programming
languages such as c++ and Smalltalk, and got another boost with the
advent of Java. Polymorphic calls are at the heart of
object-oriented languages, and even the first implementation of
Simula-67 contained their classic implementation via virtual
function tables. In fact, virtual function tables predate even
Simula-for example, Ivan Sutherland's Sketchpad drawing editor
employed very similar structures in 1960. Similarly, during the
1970s and 1980s the implementers of Smalltalk systems spent
considerable efforts on implementing polymorphic calls for this
dynamically typed language where virtual function tables could not
be used. Given this long history of research into the
implementation of polymorphic calls, and the relatively mature
standing it achieved over time, why, one might ask, should there be
a new book in this field? The answer is simple. Both software and
hardware have changed considerably in recent years, to the point
where many assumptions underlying the original work in this field
are no longer true. In particular, virtual function tables are no
longer sufficient to implement polymorphic calls even for
statically typed languages; for example, Java's interface calls
cannot be implemented this way. Furthermore, today's processors are
deeply pipelined and can execute instructions out-of order, making
it difficult to predict the execution time of even simple code
sequences."
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