Axis Systems, Inc. announced that its Xcite, Xtreme and Xsim hardware acceleration and emulation systems now are available for Linux. Utilized by developers of complex electronic systems and system-on-a-chip designs, Xsim, Xcite and Xtreme allow designers to test and debug using a single system and database, thereby shortening the verification cycle. Xcite, Xtreme and Xsim together provide software simulation, accelerated simulation, system emulation and hardware/software co-verification for behavioral, RTL and gate-level designs with a runtime performance of up to 500k cycles per second.
The Little Board 700 is a single-board computer (SBC) from Ampro Computers, Inc., designed for demanding, power-sensitive embedded applications. The Little Board 700 is an embedded SBC using the EBX form factor (5.75“ × 8”). It is available with a variety of low-voltage processors: Pentium III with 512KB Cache at 933MHz, Celeron at 650MHz or Celeron at 400MHz. It supports up to 1GB DRAM and includes thermal monitoring and power management functions. An onboard Type II CompactFlash socket supports up to 1GB of Flash memory, accessed as an IDE hard disk drive. Onboard peripherals include dual 10/100BaseT Ethernet controllers, an AGP 4× video controller with flat-panel support, AC97 sound, two USB ports, four full-modem serial ports and a PC/104-Plus bus.
Mini-Box is an x86 computing platform designed for embedded or general-purpose computing applications. Mini-Box is based on a VIA Mini-ITX motherboard and runs at 12V, making it suitable for applications where small form factor, low power consumption and reduced noise levels are necessary. Additionally, Mini-Boxes are equipped with LCD displays and a customizable 14-key keypad that replaces keyboards or mice. Weighing two pounds each, standard Mini Boxes come with 256MB of PC133 RAM, 64MB of CompactFlash and an 800MHz x86 VIA C3 processor. Options include a 533MHz fanless processor, 128MB of CompactFlash and a 40GB 2.5“ IBM drive. Mini-Box runs a small embedded Linux OS or a full standard distribution.
Contact Ituner Networks Corp., 3071 Southwycke Terrace, Fremont, California 94536, 800-978-8637, www.mini-box.com.
In support of AMD's 64-bit Opteron processor, SuSE Linux Enterprise Server 8, based on UnitedLinux 1.0, now is available. Taking advantage of Opteron's capabilities to handle applications in both 32- and 64-bit environments, Server 8 is a complete server OS for Opteron processors. Server 8 comes with an optimized 2.4.19 kernel (including GCC 3.2.2) that supports high-availability work and high-performance interaction with storage systems by means of asynchronous I/O, multipathing memory access and the management of up to 600 physical hard disks. Server 8 provides scalability for up to 64 processors and up to 512GB of main memory.
APPRO announced the availability of its new HyperBlade Server Cluster, 1U and 2U dual servers based on AMD Opteron processors. The APPRO HyperBlade cluster solution is designed for the high-performance computational (HPC) market. The HyperBlade Server Cluster offers high-density architecture by using commodity x86 components in a single cluster. It supports up to 80 compute blades and up to 160 AMD Opteron processors. The APPRO 1U and 2U dual servers provide high-processor and memory bandwidth performance. They feature dual AMD Opteron processors, simultaneous 32-bit and 64-bit computing capability, HyperTransport technology, PCI-X support, swappable HDDs and up to 16GB of DDR SDRAM.
Contact APPRO, 446 South Abbott Avenue, Milpitas, California 95035, 800-927-5464, www.appro.com.
|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
- RSS Feeds
- A Topic for Discussion - Open Source Feature-Richness?
- Validate an E-Mail Address with PHP, the Right Way
- Drupal Is a Framework: Why Everyone Needs to Understand This
- Readers' Choice Awards
- The Secret Password Is...
- All the articles you talked
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- All the articles you talked
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- All the articles you talked
1 hour 17 min ago
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- Keeping track of IP address
7 hours 33 min ago
- Roll your own dynamic dns
12 hours 46 min ago
- Please correct the URL for Salt Stack's web site
15 hours 57 min ago
- Android is Linux -- why no better inter-operation
18 hours 13 min ago
- Connecting Android device to desktop Linux via USB
18 hours 41 min ago
- Find new cell phone and tablet pc
19 hours 39 min ago
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?