I’ll cut to the chase; through a combination of unlikely discoveries, crazy hacks and the 90s BBS warez scene I’ve been able to port Lotus 1-2-3 natively to Linux – an operating system that literally didn’t exist when 1-2-3 was released!

KVM is a virtualization technology that comes with the Linux kernel. In other words, it allows you to run multiple virtual machines (VMs) on a single Linux VM host. VMs in this case are known as guests. If you ever used QEMU or VirtualBox on Linux - you know what KVM is capable of.
But how does it work under the hood?

We’re going to go into a unique technique for observing and sequencing all load port traffic on Intel processors. By using a CPU vulnerability from the MDS set of vulnerabilities, specifically multi-architectural load port data sampling (MLPDS, CVE-2018-12127), we are able to observe values which fly by on the load ports. Since (to my knowledge) all loads must end up going through load ports, regardless of requestor, origin, or caching, this means in theory, all contents of loads ever performed can be observed. By using a creative scanning technique we’re able to not only view “random” loads as they go by, but sequence loads to determine the ordering and timing of them.
We’ll go through some examples demonstrating that this technique can be used to view all loads as they are performed on a cycle-by-cycle basis. We’ll look into an interesting case of the micro-architecture updating accessed and dirty bits using a microcode assist. These are invisible loads dispatched on the CPU on behalf of the user when a page is accessed for the first time.

At one point we noticed that our disks were not as fast as we would like them to be. Some profiling as well as a quick A/B test pointed to Linux disk encryption. Because not encrypting the data (even if it is supposed-to-be a public Internet cache) is not a sustainable option, we decided to take a closer look into Linux disk encryption performance.
To be fair the request does not always traverse all these queues, but the important part here is that write requests may be queued up to 4 times in dm-crypt and read requests up to 3 times. At this point we were wondering if all this extra queueing can cause any performance issues. For example, there is a nice presentation from Google about the relationship between queueing and tail latency. One key takeaway from the presentation is: A significant amount of tail latency is due to queueing effects

This release contains around 600 new commits which have not already been backported to our 1.0.x versions. There are several new features and standard library additions compared to 1.0. We tried to keep breaking changes to a minimum, but some bugfixes weren’t possible without making those necessary changes, and we feel that our users will benefit from them.

Version 1.2.0 released

We are very proud to announce Nim version 1.2 after six months of continuous development!

^{Nim Programming Language}

This article is about how pipes are implemented the Unix kernel. I was a little disappointed that a recent article titled “How do Unix pipes work?” was not about the internals, and curious enough to go digging in some old sources to try to answer the question.

How are Unix pipes implemented?

The implementation and history of an iconic Unix feature, with excerpts from the v6 Unix kernel source code, Author: Abhijit Menon-Sen

^toroid.org

Larry Wall posted patch 1.3 to mod.sources on May 8, 1985. A number of versions followed over the years. It’s been a faithful alley for a long, long time. I’ve never had a problem with patch until I embarked on the 2.11BSD restoration project. In going over the logs very carefully, I’ve discovered a bug that bites this effort twice. It’s quite interesting to use 27 year old patches to find this bug while restoring a 29 year old OS...

A 35-year-old bug in patch found in efforts to restore 29 year old 2.11BSD

 A 35 Year Old Bug in Patch. Larry Wall posted patch 1.3 to mod.sources on May 8, 1985. A number of versions followed over the years. It's b...

^{bsdimp.blogspot.com}

You can (but shouldn’t) change how people copy text from your website.

A SAT problem is an NP-problem, while regex matching is not. However, a quite popular regex ‘backreferences’ extension extends regex matching to a (hard) NP-problem.

The Cosmopolitan Libc _start() function starts by intercepting the --ftrace flag. If it exists, then it opens and sorts of the symbol table from the elf binary. Then it changes the protection of memory so it’s able to iterate over the program’s memory to look for nop instructions it can mutate. Those NOPs were inserted by GCC. It’s easy to self-modify them in memory, since they have the same byte length as the CALL instruction. Think of it like a mini linker. It just relinks the profiling nops. Once they’ve been rewritten, functions will start calling ftrace_hook() which is an assembly function that saves the CPU state to the stack. That means ftrace kind of acts like an operating system kernel. Once the assembly saved the CPU it can call the ftracer() C code that acquires a reentrant mutex and unwinds the RBP backtrace pointer (via __builtin_frame_address(0)) to determine the address of the function that called it. Once it has the address of the function, it passes it along to kprintf() which has a special %t syntax for turning numbers into symbols.

I have been working on a research project to make writing VMs easier. The idea arises from the following observation: writing a naive interpreter is not hard (just write a big switch-case), but writing a good interpreter (or JIT compiler) is hard, as it unavoidably involves hand-coding assembly. So why can’t we implement a special compiler to automatically generate a high-performance interpreter (and even the JIT) from “the big switch-case”, or more formally, a semantical description of what each bytecode does?

Building the fastest Lua interpreter.. automatically!

It is well-known that writing a good VM for a dynamic language is never an easy job. High-performance interpreters, such as the JavaScript interpreter in Safari, or the Lua interpreter in LuaJIT, are

^{sillycross.github.io}