Today, Java is used at the heart of the world’s largest and most critical computing
systems. However, when I joined the Java team in 1997 the platform was young and
just gaining popularity. People loved the simplicity of the language, the portability
of bytecodes, and the safety of garbage collection (versus traditional...
Intel Xeon Phi Coprocessor High Performance Programming
Authors Jim Jeffers and James Reinders spent two years helping educate customers about the prototype and pre-production hardware before Intel introduced the first Intel Xeon Phi coprocessor. They have distilled their own experiences coupled with insights from many expert customers, Intel Field Engineers, Application Engineers and Technical...
Patterns for Parallel Programming (Software Patterns Series)
The Parallel Programming Guide for Every Software Developer
From grids and clusters to next-generation game consoles, parallel computing is going mainstream. Innovations such as Hyper-Threading Technology, HyperTransport Technology, and multicore microprocessors from IBM, Intel, and Sun are accelerating the...
Programming Language Pragmatics, Second Edition "Michael Scott's book could have been entitled: Why Programming Languages Work. It takes a fresh look at programming languages by bringing together ideas and techniques usually covered in disparate language design, compiler, computer architecture, and operating system courses. Its comprehensive and integrated presentation of language...
Learning Cloudera Impala
Perform interactive, real-time in-memory analytics on large amounts of data using the massive parallel processing engine Cloudera Impala
Step-by-step guidance to get you started with Impala on your Hadoop cluster
Manipulate your data rapidly by writing proper SQL statements...
Java Performance Companion
Java® Performance Companion shows how to systematically and proactively improve Java performance with today’s advanced multicore hardware and complex operating system environments.
The authors, who are all leading Java performance...
Mastering Parallel Programming with R
Master the robust features of R parallel programming to accelerate your data science computations
About This Book
Create R programs that exploit the computational capability of your cloud platforms and computers to the fullest
Become an expert in writing the most efficient and highest...
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