Dissecting Interrupts and Browsing DMA
If you want to go deeper with the topics just described, the best teacher is the source, as usual. Split-half interrupt handlers and task queues are used throughout the mainstream kernel, while the DMA implementation shown here is taken from our ceddrv-0.17, available by ftp from tsx-11.mit.edu.
The next installment will come back to more concrete issues—we realize that both DMA and task queues may appear to be rather esoteric topics. We'll show how mmap() works and how a driver may implement its semantics.
Alessandro Rubini is a 27-year-old Linuxer with a taste for the practical side of computer science and a tendency to delay sleeping. This helps him meet deadlines by exploiting time-zone offsets.
Georg V. Zezschwitz is also 27-year-old Linuxer with the same taste for the practical side of computer science and a tendency to delay sleeping.
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
If you already use virtualized infrastructure, you are well on your way to leveraging the power of the cloud. Virtualization offers the promise of limitless resources, but how do you manage that scalability when your DevOps team doesn’t scale? In today’s hypercompetitive markets, fast results can make a difference between leading the pack vs. obsolescence. Organizations need more benefits from cloud computing than just raw resources. They need agility, flexibility, convenience, ROI, and control.
Stackato private Platform-as-a-Service technology from ActiveState extends your private cloud infrastructure by creating a private PaaS to provide on-demand availability, flexibility, control, and ultimately, faster time-to-market for your enterprise.
Sponsored by ActiveState
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?
| Speed Up Your Web Site with Varnish | Jun 19, 2013 |
| Non-Linux FOSS: libnotify, OS X Style | Jun 18, 2013 |
| Containers—Not Virtual Machines—Are the Future Cloud | Jun 17, 2013 |
| Lock-Free Multi-Producer Multi-Consumer Queue on Ring Buffer | Jun 12, 2013 |
| Weechat, Irssi's Little Brother | Jun 11, 2013 |
| One Tail Just Isn't Enough | Jun 07, 2013 |




2 hours 42 min ago
5 hours 36 min ago
6 hours 2 min ago
8 hours 30 min ago
9 hours 3 min ago
9 hours 4 min ago
9 hours 5 min ago
9 hours 7 min ago
9 hours 8 min ago
9 hours 10 min ago