Computer simulation, programming, software, technology, research, and more (since 2007)
In my third post based on the Simics RISC-V simple virtual platform, I use the it to demonstrate how the Intel Simics simulator uses multiple host threads to simulate multiple target cores. The RISC-V platform is nice in that it has less noise than more complex platforms, allowing for clear and simple measurements.
As noted previously, the Public Release of the Intel Simics Simulator has added a simple RISC-V virtual platform.
In my second blog post about the platform, I reconfigure the instruction set, crash Linux, debug the issue, and reconfigure the software to match the hardware.
The 2023-19 version of the Public Release of the Intel Simics Simulator added a simple RISC-V virtual platform. This is the second architecture supported by the public release, after x86.
I will be producing a series of blog posts to show a bit of what the you can do with this virtual platform. The first Intel blog post talks about system-level simulation use cases, in particular networking and simulating x86 and RISC-V systems together.
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
Continue reading “Intel Blog: The Right Mindset and Toolset for Testing”
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.