Extra
burn-in: One of the quality tests performed on electrical circuits in computer equipment during the manufacturing process. During the burn-in process, the temperature may be varied from below freezing to above 100 degrees Fahrenheit to test the circuits in a computer or its components while they are operating. In some tests, the input voltage may be varied.
latency: Delay between when a computer receives an address to which data is to be transferred and when it actually starts the transfer.
message-passing: Term related to distributed multiprocessing operating systems for communications between tasks.
MIMD: Multiple instructions, Multiple Data machine. Massive parallel processing architecture in which the processors work as a team, solving large problems by dividing them up. Each processor has its own memory. The number of processors in a MIMD system varies from 16 to 2000. Each processor manipulates different data independently.
parallel programming: Writing a program so that separate elements of it are executed at the same time. Concurrent C/C++ is an example of a language written for parallel programming.
PCI bus: Peripheral component interconnect bus. The local bus standard developed by Intel Corp. which allows the central processing unit to transfer data to 16 devices at 33MHz along a 32- or 64-bit pathway. This version is a separate bus isolated from the CPU.
RS-232: Standard for cable and 25-pin electrical connection between computers and peripheral devices using a serial binary data interchange. Used for slower communications, requiring speeds of no greater that 20Kbps, with a standard limit of 75 feet.
SIMD: Single instruction, multiple data. Massively parallel processing architecture with large numbers of processors working on a single problem but sharing distributed memory. SIMD computers have between 1000 and 16,400 processors.
virtual: Anything that appears to be other than what it actually is, e.g., virtual memory is the apparent expansion of the computer's memory by using disk space to store programs and data.
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Sponsored by AMD
Built-in forensics, incident response, and security with Red Hat Enterprise Linux 6
Every security policy provides guidance and requirements for ensuring adequate protection of information and data, as well as high-level technical and administrative security requirements for a system in a given environment. Traditionally, providing security for a system focuses on the confidentiality of the information on it. However, protecting the data integrity and system and data availability is just as important. For example, when processing United States intelligence information, there are three attributes that require protection: confidentiality, integrity, and availability.
Learn more about catching the bad guy in this free white paper.
Sponsored by DLT Solutions
| Dynamic DNS—an Object Lesson in Problem Solving | May 21, 2013 |
| Using Salt Stack and Vagrant for Drupal Development | May 20, 2013 |
| Making Linux and Android Get Along (It's Not as Hard as It Sounds) | May 16, 2013 |
| Drupal Is a Framework: Why Everyone Needs to Understand This | May 15, 2013 |
| Home, My Backup Data Center | May 13, 2013 |
| Non-Linux FOSS: Seashore | May 10, 2013 |
- Dynamic DNS—an Object Lesson in Problem Solving
- Making Linux and Android Get Along (It's Not as Hard as It Sounds)
- Using Salt Stack and Vagrant for Drupal Development
- New Products
- Drupal Is a Framework: Why Everyone Needs to Understand This
- Validate an E-Mail Address with PHP, the Right Way
- New Products
- Download the Free Red Hat White Paper "Using an Open Source Framework to Catch the Bad Guy"
- The Secret Password Is...
- A Topic for Discussion - Open Source Feature-Richness?
Enter to Win an Adafruit Pi Cobbler Breakout Kit for Raspberry Pi

It's Raspberry Pi month at Linux Journal. Each week in May, Adafruit will be giving away a Pi-related prize to a lucky, randomly drawn LJ reader. Winners will be announced weekly.
Fill out the fields below to enter to win this week's prize-- a Pi Cobbler Breakout Kit for Raspberry Pi.
Congratulations to our winners so far:
- 5-8-13, Pi Starter Pack: Jack Davis
- 5-15-13, Pi Model B 512MB RAM: Patrick Dunn
- 5-21-13, Prototyping Pi Plate Kit: Philip Kirby
- Next winner announced on 5-27-13!
Free Webinar: Hadoop
How to Build an Optimal Hadoop Cluster to Store and Maintain Unlimited Amounts of Data Using Microservers
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Some of key questions to be discussed are:
- What is the “typical” Hadoop cluster and what should be installed on the different machine types?
- Why should you consider the typical workload patterns when making your hardware decisions?
- Are all microservers created equal for Hadoop deployments?
- How do I plan for expansion if I require more compute, memory, storage or networking?




2 hours 45 min ago
4 hours 36 min ago
9 hours 49 min ago
13 hours 52 sec ago
15 hours 16 min ago
15 hours 44 min ago
16 hours 42 min ago
18 hours 11 min ago
19 hours 20 min ago
20 hours 6 min ago