In the early 1990s, “PC graphics” was almost an oxymoron. If you wanted to do real graphics, you bought a “real machine”, most likely a Silicon Graphics workstation. At the PC price-point, fast hardware-accelerated 3D graphics wasn’t doable… until it suddenly was, thanks to Moore’s law. 3dfx was the first company to create fast 3D graphics for PC gamers. To get off the ground and get funded, 3dfx had to prove that their ideas were workable – and that proof came in the shape of a simulator. They used the simulator to demo their ideas, try out different design points, develop software pre-silicon, and validate the silicon once it arrived. Read the full story on my Intel blog, “How Simulation Started a Billion-Dollar Company”, found at the Intel Developer Zone blogs.
Doing continuous integration and continuous delivery for embedded systems is not necessarily all that easy. You need to get tools in place to support automatic testing, and free yourself from unneeded hardware dependencies. Based on an inspiring talk by Mike Long from Norway, I have a piece on how simulation helps with embedded CI and CD on my Software Evangelist blog on the Intel Developer Zone.
I have a two-part series (one, two) on testing posted on my Software Evangelist blog on the Intel Developer Zone. This is a long piece where I get back to the interesting question of how you test things and the fact that testing is not just the same as development. I call the posts Mindset and Toolset
It is really sad that the European Space Agency (ESA) lost their Schiaparelli lander last year, as we will miss out on a lot of Mars science. From a software engineering and testing perspective, the story of why the landing failed rather instructive, though. It gets down to how software can be written and tested to deal with unexpected inputs in unexpected circumstances. I wrote a piece about this on my blog at the Intel Developer Zone.
Intel CoFluent Technology is a simulation and modeling tool that can be used for a wide variety of different systems and different levels of scale – from the micro-architecture of a hardware accelerator, all the way up to clustered networked big data systems. On the Intel Evangelist blog on the Intel Developer Zone, I have a write-up on how CoFluent is being used to do model just that: Big Data systems. I found the topic rather fascinating, how you can actually make good predictions for systems at that scale – without delving into details. At some point, I guess systems become big enough that you can start to make accurate predictions thanks to how things kind of smooth out when they become large enough.
Simics and other simulation solutions are a great way to add more variation to your software testing. I have just documented a nice case of this on my blog at the Intel Developer Zone (IDZ), where the Simics team found a bug in how Xen deals with MPX instructions when using VT-x. Thanks to running on Simics, where scenarios not available in current hardware are easy to set up.
I am going to present a paper about our new SystemC Library in Simics, at the DVCon Europe conference taking place in München next month. The paper is titled “Integrating Different Types of Models into a Complete Virtual System – The Simics SystemC* Library”, and I authored it together with my Intel colleagues Andreas Hedström, Xiuliang Wang, and Håkan Zeffer.
On my Intel Software Evangelist blog, I just published an updated version of an interview I first published back in May, about how to use Intel CoFluent Studio for IoT system architecture. This is a really cool story, about how you can use a calibrated simulation model to architect and analyze software performance before actually writing the code! I
My first blog post as a software evangelist at Intel was published last week. In it, I tell the story of how our development teams used Simics to test the software behavior (UEFI, in particular) when a server is configured with several terabytes of RAM. Without having said server in physical form – just as a simulation. And running that simulation on a small host with just 256 GB of RAM. I.e., the host RAM is just a small fraction of the target. That’s the kind of things that you can do with Simics – the framework has a lot of smarts in it.
It was rather interesting to realize that just the OS page tables for this kind of system occupies gigabytes of RAM… but that just underscores just how gigantic six terabytes of memory really is.
This really happened last week, but I was in the US for the DAC then. I did another blog on Intel Software blog, about a white paper that Wind River put out about how they use Simics internally. The white paper is a really good set of examples of how Simics can be used for software development, test, and debug – regardless of how old or new the hardware is. It also touches my favorite topic of IoT simulation and scaling up – Wind River is actually using Simics for 1000+ node tests of IoT software! Read on at https://blogs.intel.com/evangelists/2016/06/06/wind-river-uses-simics-test-massive-iot-networks/
I love bug and debug stories in general. Bugs are a fun and interesting part of software engineering, programming, and systems development. Stories that involve running Simics on Simics to find bugs are a particular category that is fascinating, as it shows how to apply serious software technology to solve problems related to said serious software technology. On the Intel Software and Services blog, I just posted a story about just that: debugging a Linux kernel bug provoked by Simics, by running Simics on a small network of machines inside of Simics. See https://blogs.intel.com/evangelists/2016/05/30/finding-kernel-1-2-3-bug-running-wind-river-simics-simics/ for the full story.
I have posted my first blog post to the Intel Software and Services blog channel. The Intel Software and Services blog is one channel in the Intel corporate blog you find at https://blogs.intel.com/. Other bloggers on the Software and Services channel write about security, UEFI, cloud, graphics, open source software, and other topics. Intel has a large software development community, and we produce quite a bit of software – and we do write about the innovations that come out of Intel that rely on software.
On my part, I will be posting more materials on simulation at Intel, as part of my role as a simulation evangelist on the Software and Service blog channel.