If you have an opinion about C++, chances are you either love it for its extensiveness and versatility, or you hate it for its bloated complexity and would rather stick to alternative languages on both sides of the spectrum. Either way, here’s your chance to form a new opinion about the language. The C++ standard committee has recently gathered to work on finalizing the language standard’s newest revision, C++20, deciding on all the new features that will come to C++’s next major release.
After C++17, this will be the sixth revision of the C++ standard, and the language has come a long way from its “being a superset of C” times. Frankly, when it comes to loving or hating the language, I haven’t fully made up my own mind about it yet. My biggest issue with it is that “programming in C++” can just mean so many different things nowadays, from a trivial “C with classes” style to writing code that will make Perl look like prose. C++ has become such a feature-rich and downright overwhelming language over all these years, and with all the additions coming with C++20, things won’t get easier. Although, they also won’t get harder. Well, at least not necessarily. I guess? Well, it’s complex, but that’s simply the nature of the language.
Anyway, the list of new features is long, combining all the specification proposals is even longer, and each and every one of these additions could fill its own, full-blown article. But to get a rough idea about what’s going to come to C++ next year, let’s have a condensed look at some of these major new features, changes, and additions that will await us in C++20. From better type checking and compiler errors messages to Python-like string handling and plans to replace the
#include system, there’s a lot at play here!
Continue reading “C++20 Is Feature Complete; Here’s What Changes Are Coming”
If you are writing a program that has a technical user base, it is a nice touch to make the program scriptable. In fact, you might want to do the hard work in a programming language and then use your scripting language to build out features. In theory, this should be easy. There are plenty of embedded scripting libraries and they provide some way for your code to access script resources and for script resources to access selected host variables and functions. If you use C++, one of the easier ways to do this is with ChaiScript.
ChaiScript is BSD licensed and — assuming your compiler supports C++ 14 — it is as easy as including a header file and making a few calls. There are no special tools or libraries required. The code is portable between operating systems, including both 32-bit and 64-bit Windows. It is also threadsafe unless you turn that feature off.
Continue reading “Add Scripting To Your C++ Programs With ChaiScript”
C is the most perfect language and it will run on anything. It will even run on a computer without a CPU.
The computer in question here is the Gigatron, a fully-functional ‘home computer’ the likes of which you would find in the late 70s and early 80s, complete with a VGA output. What makes the Gigatron exceptional is the fact that there is no microprocessor; everything is just a RAM, a ROM, and a bunch of logic chips. There is no ALU chip. Or rather, there is; it’s just that an entire RISC CPU is implemented in basic logic chips and a whole lot of microcode on the ROM. It’s weird, yes, but it is cool. We’ve taken a look at the Gigatron before, and with this computer you get a glimpse of how clever engineers could have been if there were massive memories available in the late 70s.
While the Gigatron can be programmed in BASIC, the limiting factor of this computer is the fact that it remains exceptionally difficult to program. This is what the 8-Bit Guy says, and even though you can write some simple programs, it’s nothing compared to the likes of an Apple II or C64. If only there were a proper IDE, indeed if only there were a C compiler. That’s where [pgavlin] comes in. He has the LCC compiler working on the Gigatron. This is technically a C compiler for a computer without a CPU, or a computer that is entirely CPU. Either way you look at it, this is impressive.
As far as examples and demos go, [pgavlin] has a demo of Conway’s Game of Life working, and a program that will put dots on the screen. It’s not much, and it’s very slow, but check out the video below.
This isn’t a complete implementation of C, as multiplication, division, mod, and arbitrary shifts left or right haven’t been written yet. Floating point support will probably never be completed, and there’s no shame in that. The hardware is limited due to the fact of the fragmented memory map, but this can be improved by upgrading the Gigatron to a 64k memory model.
Continue reading “The No-CPU Computer Gets A C Compiler”
If you keep up with the field of web development, you may have heard of WebAssembly. A relatively new kid on the block, it was announced in 2015, and managed to garner standardised support from all major browsers by 2017 – an impressive feat. However, it’s only more recently that the developer community has started to catch up with adoption and support.
So, what is it? What use case is so compelling that causes such quick browser adoption? This post aims to explain the need for WebAssembly, a conceptual overview of the technical side, as well as a small hands-on example for context.
Continue reading “WebAssembly: What Is It And Why Should You Care?”
As a layperson reading about some branches of mathematics, it often seems like mathematicians are just people who really like to create and solve puzzles. And, knowing that computer science shares a lot of its fundamentals with mathematics, we can assume that most computer scientists are also puzzle-solvers as well. This latest project from [tom7] shows off his puzzle creating and solving skills with a readable file which is also a paper, which is also a compiler for C programs, which can also play music.
[tom7] started off with the instruction set for the Intel 8086 processor. Of the instructions available, he wanted to use only instructions which are also readable in a text file. This limits him dramatically in what this file will be able to execute, but also sets up the puzzle. He walks through each of the hurdles he found by only using instructions that also code to text, including limited memory space, no obvious way of exiting the program once it was complete, not being able to jump backward in the program (i.e. looping), and a flurry of other issues that come up once the instruction set is limited in this way.
The result is a sort of C compiler which might not be the most efficient way of executing programs, but it sure is the most effective way of showing off [tom7]’s PhD in computer science. As a bonus, the file can also play an antiquated type of sound file due to one of the available instructions being a call for the processor to interact with I/O. If you want to learn a little bit more about compilers, you can check out a primer we have for investigating some of their features.
Thanks to [Greg] for the tip!
Continue reading “A Compiler In Plain Text Also Plays Music”
While desktop computers have tons of computing power and storage, some small CPUs don’t have a lot of space to store things. What’s more is some CPUs don’t do multiplication and division very well. Same can be said for FPGAs. So suppose we are going to grab a bunch of three-digit decimal numbers from, say, a serial port. We want to store as many as we can, and we don’t want to do a lot of math because we can’t, it is slow, or perhaps it keeps our processor awake longer and we want to sleep to conserve power. We want a way to pack the numbers as close to the theoretical maximum as we can but with little or no math.
The simple approach is to store the numbers as ASCII. Great for processing since they are probably in ASCII already. If they aren’t, you just add 30 hex to each digit and you are done. That’s awful for storage space, though, since we can store 999 in 10 bits if it were binary and now we are using 24 bits! Storing in binary isn’t a good option, if you play by our rules, by the way. You need to multiply by 10 and 100 (or 10 twice) to get the encoding. Granted, you can change that to two shifts and an add (8x+2x=10x) but there’s no easy way to do the division you’ll have to do for the decode.
Of course, there’s no reason we can’t just store decimal digits. That’s call binary coded decimal or BCD and that has some advantages, too. It is pretty easy to do math on BCD numbers and you don’t get rounding problems. Some CPUs even have specific instructions for BCD manipulation. However, three digits will require 12 bits. That’s better than 24, we agree. But it isn’t as good as that theoretical maximum. After all, if you think about it, you could store 16 distinct codes in 4 bits, and we are storing only 10, so that 6 positions lost. Multiply that by 3 and you are wasting 18 codes.
But there is a way to hit that ten-bit target without doing any math. Its called DPD or densely packed decimal. You can convert three decimal digits into ten bits and then back again with no real math at all. You could implement it with a small lookup table or just do some very simple multiplexer-style logic which means it is cheap and easy to implement in software or onboard an FPGA.
Continue reading “Packing Decimal Numbers Easily”
Continue reading “Nim Writes C Code — And More — For You”