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Efficient computing
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Session
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Description
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Lecturer
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Lecture 1
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Course Overview
In this lecture we start by
discussing Moore’s law which has led to an
incredible transistor count becoming
available for hardware designers.
As a
result, modern microprocessors have a high
level of complexity and an unprecedented
level of parallelism that software
programmers are asked to exploit. We define
the seven dimensions of performance which
will be discussed during the week. The first
two (pipelining and superscalar execution
are discussed here, whereas the others will
be discussed in dedicated lectures).
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Sverre
Jarp
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Lecture 2
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Advanced Performance Tuning
Benchmarking and performance tuning
rarely are first-rate activities. However,
the importance of both is on the rise
following the trends in hardware related to
Moore’s Law. In this lecture we will explain
advanced aspects of performance
benchmarking, monitoring and tuning. The
presented methodologies and techniques will
be supported by practical information,
including compiler examples. Functionality
of open-source and commercial tools alike
will be demonstrated as an example of common
usage of various techniques.
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Andrzej
Nowak
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Lecture 3
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Putting it all together
In this lecture we start by a quick review
of the performance dimensions that have been
discussed until now. Then, we move on to a
review of several recommendations for
achieving high performance. In particular,
the concept of well-performing “kernels” is
discussed with an example from CPU/GPU
programming. We then switch to a short
discussion on compilers, since they have
such an important role to play. In the final
part of the presentation we discuss relevant
programming examples from the High Energy
Physics community where good performance (in
several
dimensions) has been reached.
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Sverre
Jarp |
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Lecture 4
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Floating Point Programming
We start by asked ourselves why we
need to bother about this topic at all.
Hopefully, having convinced ourselves, we
then discuss the IEEE-754 standard which is
used in all modern microprocessors. We
discuss several techniques for keeping
floating-point calculations accurate. Math
functions, such as exponentials and power
functions, are also invoked, since they can
be costly in performance and also have a
large impact of the accuracy of
floating-point calculations.
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Sverre
Jarp
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Exercise 1
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BW
TBW
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Sverre
Jarp
Andrzej
Nowak
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Exercise 2
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BW
TBW
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Sverre
Jarp
Andrzej
Nowak
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Exercise 3
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BW
TBW
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Sverre
Jarp
Andrzej
Nowak |
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Prerequisite
and
References |
Desirable Prerequisite
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