ESSENTIAL GUIDE:
In this chapter from the book Raspberry PI with Java: Programming the Internet of Things, Stephen Chin walks you through the process of setting up (or baking) the Raspberry Pi.
EGUIDE:
All kinds of organisations are waking up to the benefits of next-generation programming tools. In this 14-page buyer's guide, Computer Weekly looks at how low-code tools are helping a range of users, the ways they can boost efficiency and the many considerations that come with them.
EGUIDE:
In this expert e-guide from SearchEnterpriseLinux.com, discover what makes migrating from Unix to Linux attractive, including increased platform flexibility. And learn why it is essential to have a testing environment for gauging stability and performance of your applications.
WEBCAST:
Adapting to change is hard for today's professional architectures, but with the dynamics of the industry, change is a must. This webcast will show how to gain successful agility and maximize business IT value with the Smart SOA approach. Watch now!
Posted: 13 Oct 2008 | Premiered: Nov 5, 2008, 10:30 EST (15:30 GMT)
TECHNICAL ARTICLE:
This article aims at answering the question, "Is parallel programming hard?" You'll take a look at the distinctions between parallel and sequential programming as well as the three main problems programmers face when it comes to parallel programming.
WHITE PAPER:
Read this paper to learn 11 best practice peer code review tips to optimize review sessions, improve code, and make the most of valuable time. Some of the key findings include how many lines of code you should review in an hour, annotating code before you begin reviewing, leveraging a check list system, and more.
EGUIDE:
It's not enough to just collect customer data. You also need to ensure that your customer data is correct, up-to-date, and readily available. In this issue of Business Information e-zine, experts weigh in on strategies to optimize customer data quality and leverage analytics to identify unsatisfied customers.
WHITE PAPER:
This article begins a four part series that explores the following important AI concepts and how to optimize them to run on today’s cutting edge multi-core processors.
TECHNICAL ARTICLE:
It's amazing how many books on parallel computing use the term parellelism without clearly defining it. In this technical article, Charles Leiserson, Professor of Computer Science and Engineering at MIT, provides a brief introduction to this theory.