Colloquium: Gianfranco Bilardi/University of Padova & IBM Research How Well Can Physical Machines Approximate the Ideal RAM? in ACES 6.304
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Colloquium
Speaker Name: Gianfranco Bilardi
Speaker Affi
liation: University of Padova & IBM Research
Date: December 11 20
06
Start Time: 11:00a.m.
Location: ACE 6.304
Host:
Keshav Pingali
Talk Title: How Well Can Physical Machines Approxima
te the Ideal RAM?
Talk Abstract:
It is widely agreed that machi
nes based on sequential programming
are increasingly inadequate to full
y exploit the potential
of present and forthcoming technologies. Howev
er a rigorous
quantitative assessment of the inherent limitations of t
he
sequential approach does not seem to be available. In this
cont
ext we take a look at two interrelated
issues:
(a) How well can
a physical machine where information has
bounded density and speed ap
proximate the performance of
the ideal Random Access Machine?
(b
) How well can the properties of an algorithm that allow
for fast execu
tion be encoded in a sequential program in
ways that a machine can aut
omatically exploit?
We will discuss some results shedding light on t
he above
questions based on novel memory and processor organizations <
br>and related algorithm optimization techniques.
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