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Visualization and analysis tools, techniques, and algorithms have
undergone a rapid evolution in recent decades to accommodate
explosive growth in data size and complexity and to exploit
emerging multi- and many-core computational platforms. High
Performance Visualization: Enabling Extreme-Scale Scientific
Insight focuses on the subset of scientific visualization concerned
with algorithm design, implementation, and optimization for use on
today's largest computational platforms. The book collects some of
the most seminal work in the field, including algorithms and
implementations running at the highest levels of concurrency and
used by scientific researchers worldwide. After introducing the
fundamental concepts of parallel visualization, the book explores
approaches to accelerate visualization and analysis operations on
high performance computing platforms. Looking to the future and
anticipating changes to computational platforms in the transition
from the petascale to exascale regime, it presents the main
research challenges and describes several contemporary, high
performance visualization implementations. Reflecting major
concepts in high performance visualization, this book unifies a
large and diverse body of computer science research, development,
and practical applications. It describes the state of the art at
the intersection of scientific visualization, large data, and high
performance computing trends, giving readers the foundation to
apply the concepts and carry out future research in this area.
This book offers rides over the entire Lake Champlain region, from
the southern tip of the lake at the birthplace of the U.S. Navy in
Whitehall, New York, to its northernmost bay in Quebec, west to
Lake Placid and extending east to the charming college town of
Middlebury. Charles Hansen, who has been riding and organizing
bicycle tours in the area for two decades, has researched and
ridden these routes to create a book that will serve all
cyclistsfrom the hardcore roadie who wants the challenge of an
82-mile ride through the eastern Adirondacks, to the casual rider
or family looking for a scenic and largely flat afternoon outing.
Several multiple day-tours are described, including the Lake Placid
Weekender that starts from Burlington and provides a highly scenic
and satisfying two-day ride for touring cyclists. Route notes are
provided for The Grand Tour, a nine-day circumnavigation of the
entire lake with a rest day in Montreal, as well as shorter
variations on this tour. From 25 Bicycle Tours in the Lake
Champlain Region you'll learn much about the rich history of the
region as well as find out about tourism organizations, lodging,
museums, and attractions along the way. 30 black & white
photos, 25 maps.
Visualization and analysis tools, techniques, and algorithms have
undergone a rapid evolution in recent decades to accommodate
explosive growth in data size and complexity and to exploit
emerging multi- and many-core computational platforms. High
Performance Visualization: Enabling Extreme-Scale Scientific
Insight focuses on the subset of scientific visualization concerned
with algorithm design, implementation, and optimization for use on
today's largest computational platforms. The book collects some of
the most seminal work in the field, including algorithms and
implementations running at the highest levels of concurrency and
used by scientific researchers worldwide. After introducing the
fundamental concepts of parallel visualization, the book explores
approaches to accelerate visualization and analysis operations on
high performance computing platforms. Looking to the future and
anticipating changes to computational platforms in the transition
from the petascale to exascale regime, it presents the main
research challenges and describes several contemporary, high
performance visualization implementations. Reflecting major
concepts in high performance visualization, this book unifies a
large and diverse body of computer science research, development,
and practical applications. It describes the state of the art at
the intersection of scientific visualization, large data, and high
performance computing trends, giving readers the foundation to
apply the concepts and carry out future research in this area.
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