Introduction to Parallel
Computing
Serial Computing
Parallel Computing
Why Parallel Computing?
The Power Wall
The Single-Core Performance Wall
“The major processor manufacturers and
architectures, from Intel and AMD to Sparc and
PowerPC, have run out of room with most of
their traditional approaches to boosting CPU
performance. Instead of driving clock speeds
and straight-line instruction throughput ever
higher, they are instead turning en masse to
hyperthreading and multicore architectures.”
The Free Lunch Is Over
A Fundamental Turn Toward Concurrency in Software
By Herb Sutter
The Future
Why Learn Parallel Computing?
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Entertainment Industry
Performance Challenge
Massive Data
Real-time Analytics
Algorithmic Opportunities
Entertainment Industry
Performance Challenge
Advanced research has
moved beyond the
capacity of a single
computer for detailed
multi-level simulations,
data analysis, and largescale computations.
Electron localization function
in the cubic NaCl3 structure.
Massive Data
Real-time Analytics
Algorithmic Opportunities
Different molecular forces cause proteins to fold into unique,
complex shapes.
(Image courtesy of Justin MacCallum, Stony Brook University)
Examples of Parallel Computing
Summary
• The computers of today, and tomorrow, have
tremendous processing power that require
parallel programming to fully utilize.
• There are significant differences between
sequential and parallel programming, that can be
challenging.
• With early exposure to these differences,
students are capable of achieving performance
improvements with multicore programming.
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What is Parallel Computing ?