SimCity 3000 Unlimited for Linux
I tested this on a G400-based VA workstation with 128MB RAM and a 500MHz PIII as well as a GeForce-based system with 256MB RAM and an 550MHz PIII, and both systems handled the game with little difficulty. Though the game doesn't require any 3-D support, the calculations required for simulating a 100-square-mile city can be rather taxing, and once you get to higher levels of development, the slowdown in movement around the screen and zoom redraws start to become more and more noticeable. Loki lists the minimum hardware requirements as a Pentium 233 and 32MB of RAM; while these numbers may make sense for many small-scale cities, I think more advanced users (or users of some of the truly monstrous scenario cities) might find it nearly impossible to construct massive cityscapes with those computational limitations. Loki recommends that you run this game in 16bpp color mode to eliminate the on-the-fly conversions that must occur if you use 24 or 32bpp color modes. If you want to use the Building Architect Plus tool, you'll need to use an OpenGL-compliant 3-D driver of some sort (both my NVidia OpenGL drivers and Mesa had no problem at all with the BAP tool). You'll want to have an OSS-compatible sound card and a minimum of 450MB of disk space for the install (a full install will run up around 650MB or so). In general, the requirements of this game really are pretty low compared to the return you get in game play. I've run this gem on my little 500MHz laptop often and find it is just as playable there as on any workstation.
It's the best version of SimCity yet, with more levels of customization, more add-ons, more options, better graphics and better game play than ever before. The game is, perhaps, somewhat complex by its very nature, and if you're looking for a simple game, this probably isn't your bag. However, if you enjoy the idea of some planning and strategy, and if you enjoy a fun mental challenge that is hugely rewarding, this is your game. In my opinion, this is probably a must-have for most Linux gamers.

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
| Designing Electronics with Linux | May 22, 2013 |
| 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 |
- New Products
- Linux Systems Administrator
- Senior Perl Developer
- Technical Support Rep
- UX Designer
- Web & UI Developer (JavaScript & j Query)
- Designing Electronics with Linux
- 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
- Reply to comment | Linux Journal
1 hour 45 min ago - Nice article, thanks for the
12 hours 26 min ago - I once had a better way I
18 hours 12 min ago - Not only you I too assumed
18 hours 29 min ago - another very interesting
20 hours 22 min ago - Reply to comment | Linux Journal
22 hours 16 min ago - Reply to comment | Linux Journal
1 day 5 hours ago - Reply to comment | Linux Journal
1 day 5 hours ago - Favorite (and easily brute-forced) pw's
1 day 7 hours ago - Have you tried Boxen? It's a
1 day 13 hours 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!
Featured Jobs
| Linux Systems Administrator | Houston and Austin, Texas | Host Gator |
| Senior Perl Developer | Austin, Texas | Host Gator |
| Technical Support Rep | Houston and Austin, Texas | Host Gator |
| UX Designer | Austin, Texas | Host Gator |
| Web & UI Developer (JavaScript & j Query) | Austin, Texas | Host Gator |
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?




Comments
great
too bad loki kicked the bucket and will no longer sell the game. lame.