Maximizing the performance of your algorithms and applications is extremely important and can give you a competitive advantage, a lower cost of ownership, and happier users. Pro .NET Performance explains the internals of Windows, the CLR, and the physical hardware that affect the performance of your applications, and gives you the...
Your CPU meter shows a problem. One core is running at 100 percent, but all the other cores are idle. Your application is CPU-bound, but you are using only a fraction of the computing power of your multicore system. Is there a way to get better performance?
The answer, in a nutshell, is parallel programming. Where you...
For most of computing history, we benefited from exponential increases in performance
of scalar processors. That has come to an end. We are now at the dawn of
the heterogeneous parallel computing era. With all applications being power-sensitive
and all computing systems being power-limited, from mobile to cloud, future computing...
The purpose of this book is to provide a first course in Projective Geometry for
undergraduate majors in mathematics and for prospective teachers of high school
geometry. For the former it will furnish an introduction to the important concept of
projective spaces; for the latter it will introduce a more general geometry from which,...
Clojure is a practical, general-purpose language that offers expressivity rivaling other dynamic languages like Ruby and Python, while seamlessly taking advantage of Java libraries, services, and all of the resources of the JVM ecosystem. This book helps you learn the fundamentals of Clojure with examples relating it to the languages...
Future requirements for computing speed, system reliability, and cost-effectiveness entail the development of alternative computers to replace the traditional von Neumann organization. As computing networks come into being, one of the latest dreams is now possible - distributed computing. Distributed computing brings transparent access to as much...
Parallelism, the capability of a computer to execute operations concurrently, has been a constant throughout the
history of computing. It impacts hardware, software, theory, and applications. The fastest machines of the past few
decades, the supercomputers, owe their performance advantage to parallelism. Today, physical limitations...
.NET parallel extensions brings the power of parallel and asynchronous programming to a much wider developer audience than ever before. This book will give a developer with no multithreaded development experience the ability to write highly scalable parallel applications that take advantage of modern multicore processors.If you are an...
Genetic algorithms (GAs) are randomized search and optimization techniques
guided by the principles of evolution and natural genetics; they have a large
amount of implicit parallelism. GAs perform multimodal search in complex
landscapes and provide near-optimal solutions for objective or tness func
tion of an...
There is a software gap between hardware potential and the performance that can
be attained using today ’ s software parallel program development tools. The tools
need manual intervention by the programmer to parallelize the code. This book is
intended to give the programmer the techniques necessary to explore parallelism in...
We live in an era in which parallel computing has become mainstream and very affordable. This is mainly because hardware costs have come down rapidly. With the advent of the Internet, we also experience the phenomenon of data explosion in every application of interest. Processing voluminous datasets is highly computation intensive. Parallel...
The latest techniques and principles of parallel and grid database processing
The growth in grid databases, coupled with the utility of parallel query processing, presents an important opportunity to understand and utilize high-performance parallel database processing within a major database management system...