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Books > Computing & IT > Computer programming > Programming languages
Innovation is the key to maintain competitive advantage. Innovation
in products, processes, and business models help companies to
provide economic value to their customers. Identifying the
innovative ideas, implementing those ideas, and absorbing them in
the market requires investing many resources that could incur large
costs. Technology encourages companies to foster innovation to
remain competitive in the marketplace. Emerging Technologies for
Innovation Management in the Software Industry serves as a resource
for technology absorption in companies supporting innovation. It
highlights the role of technology to assist software
companies-especially small start-ups-to innovate their products,
processes, and business models. This book provides the necessary
guidelines of which tools to use and under what situations.
Covering topics such as risk management, prioritization approaches,
and digitally-enabled innovation processes, this premier reference
source is an ideal resource for entrepreneurs, software developers,
software managers, business leaders, engineers, students and
faculty of higher education, researchers, and academicians.
Parallel Programming with OpenACC is a modern, practical guide to
implementing dependable computing systems. The book explains how
anyone can use OpenACC to quickly ramp-up application performance
using high-level code directives called pragmas. The OpenACC
directive-based programming model is designed to provide a simple,
yet powerful, approach to accelerators without significant
programming effort. Author Rob Farber, working with a team of
expert contributors, demonstrates how to turn existing applications
into portable GPU accelerated programs that demonstrate immediate
speedups. The book also helps users get the most from the latest
NVIDIA and AMD GPU plus multicore CPU architectures (and soon for
Intel (R) Xeon Phi (TM) as well). Downloadable example codes
provide hands-on OpenACC experience for common problems in
scientific, commercial, big-data, and real-time systems. Topics
include writing reusable code, asynchronous capabilities, using
libraries, multicore clusters, and much more. Each chapter explains
how a specific aspect of OpenACC technology fits, how it works, and
the pitfalls to avoid. Throughout, the book demonstrates how the
use of simple working examples that can be adapted to solve
application needs.
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