Year: 2016

Microchip To Acquire Atmel For $3.56 Billion

January 20, 2016 by 183 Comments

Just last week, there was considerable speculation that Microchip would buy Atmel. The deal wasn’t done, and there was precedent that this deal wouldn’t happen – earlier this year, Dialog made an approach at Atmel. Now, though, the deal is done: Microchip will acquire Atmel for $3.56 Billion.

There are three main companies out there making microcontrollers that are neither ancient 8051 clones or ARM devices: TI’s MSP430 series, Microchip and Atmel. Microchip has the very, very popular PIC series microcontrollers, which can be found in everything. Atmel’s portfolio includes the AVR line of microcontrollers, which are also found in everything. From phones to computers to toasters, there’s a very high probablitiy you’re going to find something produced by either Atmel or Microchip somewhere within 15 feet of your person right now.

For the hobbyist electronic enthusiast, this has led to the closest thing we have to a holy war. Atmel chips were a little easier (and cheaper) to program, but were a little more expensive. Microchip’s chips have a very long history and proportionally more proper engineers who are advocates. PIC isn’t Arduino, though, a community that has built a large and widely used code base around the AVR family.

Microchip’s acquisition of Atmel follows several mergers and acquisitions in recent months: NXP and Freescale, Intel and Altera, Avago and Broadcom, and On Semiconductor and Fairchild. The semiconductor industry has cash and wants to spend it. What this means for the Atmel product line is left to be seen. The most popular micros probably won’t be discontinued, but if you’re using unpopular Atmel micros such as the ATtiny10 you might want to grab a reel or two before they’re EOL’d.

 

Sort Faster With FPGAs

January 20, 2016 by 108 Comments

Sorting. It’s a classic problem that’s been studied for decades, and it’s a great first step towards “thinking algorithmically.” Over the years, a handful of sorting algorithms have emerged, each characterizable by it’s asymptotic order, a measure of how much longer an algorithm takes as the problem size gets bigger. While all sorting algorithms take longer to complete the more elements that must be sorted, some are slower than others.

For a sorter like bubble sort, the time grows quadradically longer for a linear increase in the number of inputs; it’s of order O(N²).With a faster sorter like merge-sort, which is O(N*log(N)), the time required grows far less quickly as the problem size gets bigger. Since sorting is a bit old-hat among many folks here, and since O(N*log(N)) seems to be the generally-accepted baseline for top speed with a single core, I thought I’d pop the question: can we go faster?

In short — yes, we can! In fact, I’ll claim that we can sort in linear time, i.e a running time of O(N). There’s a catch, though: to achieve linear time, we’ll need to build some custom hardware to help us out. In this post, I’ll unfold the problem of sorting in parallel, and then I”ll take us through a linear-time solution that we can synthesize at home on an FPGA.

Need to cut to the chase? Check out the full solution implemented in SystemVerilog on GitHub. I’ve wrapped it inside an SPI communication layer so that we can play with it using an everyday microcontroller.

To understand how it works, join us as we embark on an adventure in designing algorithms for hardware. If you’re used to thinking of programming in a stepwise fashion for a CPU, it’s time to get out your thinking cap!

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Saving Old Voices By Dumping ROMs

January 20, 2016 by 41 Comments

Some people collect stamps. Others collect porcelain miniatures. [David Viens] collects voice synthesizers and their ROMs. In this video, he just got his hands on the ultra-rare Electronic Voice Alert (EVA) from early 1980s Chrysler automobiles (video embedded below the break).

Back in the 1980s, speech synthesis was in its golden years following the development of TI’s linear-predictive coding speech chips. These are the bits of silicon that gave voice to the Speak and Spell, numerous video game machines, and the TI 99/4A computer’s speech module. And, apparently, some models of Chrysler cars.

IMG_0695We tracked [David]’s website down. He posted a brief entry describing his emulation and ROM-dumping setup. He says he used it for testing out his (software) TMS5200 speech-synthesizer emulation.

The board appears to have a socket for a TMS-series voice synthesizer chip and another slot for the ROM. It looks like an FTDI 2232 USB-serial converter is being used in bit-bang mode with some custom code driving everything, and presumably sniffing data in the middle. We’d love to see a bunch more detail.

The best part of the video, aside from the ROM-dumping goodness, comes at the end when [David] tosses the ROM’s contents into his own chipspeech emulator and starts playing “your engine oil pressure is critical” up and down the keyboard. Fantastic.

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Robots And Crickets

January 20, 2016 by 18 Comments

If you watch science fiction movies, the robots of the future look like us. The truth is, though, many tasks go better when robots don’t look like us. Sometimes they are unique to a particular job or sometimes it is useful to draw inspiration from something other than a human being. One professor at Johns Hopkins along with some students decided to look at spider crickets as an inspiration for a new breed of jumping robots.

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A Digital Canvas That’s Hard To Spot

January 19, 2016 by 32 Comments

While sorely lacking in pictures of the innards of this digital canvas, we were extremely impressed with the work that went into making such a convincing object. [Clay Bavor] wanted a digital picture frame, but couldn’t find one on the market that did what he wanted. They all had similar problems, the LCDs were the lowest quality, they were in cheap bezels, they had weird features, they had no viewing angle, and they either glowed like the sun or were invisible in dark environments.

[Clay] started with the LCD quality, he looked at LCD specs for the absolute best display, and then, presumably, realized he lived in a world where money is no object and bought a 27″ iMac. The iMac has a very high pixel density, no viewing angle, and Apple goes through the trouble of color balancing every display. Next he got a real frame for the iMac, cut a hole in the wall to accommodate it, and also had a mat installed to crop the display to a more convincing aspect ratio for art. One of the most interesting part of the build is the addition of a Phidgets light sensor. Using this, he has some software running that constantly adjusts the Mac to run at a brightness that’s nearly imperceptible in the room’s lighting.

Once he had it built he started to play around with the software he wrote for the frame. Since he wanted the frame to look like a real art print he couldn’t have the image change while people were looking, so he used the camera on the Mac and face detection to make sure the image only changed when no one was looking for a few minutes. He also has a mode that trolls the user by changing the image as soon as they look away.

We admit that a hackier version of this would be tearing the panel out of a broken iMac and using a lighter weight computer to run all the display stuff. [Clay] reached the same conclusion and plans to do something similar for his version 2.0.

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Solderless Breadboard Parasitics

January 19, 2016 by 42 Comments

Solderless breadboards are extremely handy. You always hear, of course, that you need to be careful with them at high frequencies and that they can add unwanted capacitance and crosstalk to a circuit. That stands to reason since you have relatively long pieces of metal spaced close together — the very definition of a capacitor.

[Ryan Jensen] did more than just listen to that advice. He built a circuit and used a scope to investigate just how much coupling he could expect with a simple digital circuit. Better still, he also made a video of it (see below). The test setup shows a single gate of a hex Schmitt trigger inverter with a sine wave input. The output transitions ring and also couple back into the input.

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Shmoocon 2016: Efficient Debugging For OS X

January 19, 2016 by 27 Comments

Developers love their macs, and if you look at the software that comes with it, it’s easy to see why. OS X is a very capable Unix-ey environment that usually comes on very capable hardware. There is one, huge, unbelievable shortcoming in OS X: the debugger sucks. GDB, the standard for every other platform, doesn’t come with OS X and Apple’s replacement, LLDB is very bad. After crashing Safari one too many times, [Brandon Edwards] and [Tyler Bohan] decided they needed their own debugger, so they built one, and presented their work at last weekend’s Shmoocon.

Building a proper tool starts with a survey of existing tools, and after determining that GDB was apparently uninstallable and LLDB sucked, their lit review took a turn for the more esoteric. Bit Slicer is what they landed on. It’s a ‘game trainer’ or something that allows people to modify memory. It sort of works like a debugger, but not really. VDB was another option, but again this was rough around the edges and didn’t really work.

The problems with the current OS X debuggers is that the tools used by debuggers don’t really exist. ptrace is neutered, and the system integrity protection in OS X El Capitan has introduced protected locations that can not be written to by root. Good luck modifying anything in /Applications if you have any recent Mac.

With the goal of an easy-to-use debugger that was readily scriptable, [Brandon] and [Tyler] decided to write their own debugger. They ended up writing the only debugger they’ve seen that is built around kqueue instead of ptrace. This allows the debugger to be non-invasive to the debugged process, inject code, and attach to multiple processes at once.

For anyone who has every stared blankly at the ‘where is GDB’ Stack Overflow answers, it’s a big deal. [Brandon] and [Tyler] have the beginnings of a very nice tool for a very nice machine.