The ’80s Multi-Processor System That Never Was

Until the early 2000s, the computer processors available on the market were essentially all single-core chips. There were some niche layouts that used multiple processors on the same board for improved parallel operation, and it wasn’t until the POWER4 processor from IBM in 2001 and later things like the AMD Opteron and Intel Pentium D that we got multi-core processors. If things had gone just slightly differently with this experimental platform, though, we might have had multi-processor systems available for general use as early as the 80s instead of two decades later.

The team behind this chip were from the University of Califorina, Berkeley, a place known for such other innovations as RAID, BSD, SPICE, and some of the first RISC processors. This processor architecture would be based on RISC as well, and would be known as Symbolic Processing Using RISC. It was specially designed to integrate with the Lisp programming language but its major feature was a set of parallel processors with a common bus that allowed for parallel operations to be computed at a much greater speed than comparable systems at the time. The use of RISC also allowed a smaller group to develop something like this, and although more instructions need to be executed they can often be done faster than other architectures.

The linked article from [Babbage] goes into much more detail about the architecture of the system as well as some of the things about UC Berkeley that made projects like this possible in the first place. It’s a fantastic deep-dive into a piece of somewhat obscure computing history that, had it been more commercially viable, could have changed the course of computing. Berkeley RISC did go on to have major impacts in other areas of computing and was a significant influence on the SPARC system as well.

One-Legged Jumping Robot Shows That Control Is Everything

Robots that can jump have been seen before, but a robot that jumps all the time is a little different. Salto-1P is a one-legged jumping robot at UC Berkeley, and back in 2017 it demonstrated the ability to hop continuously with enough control to keep itself balanced. Since then it has been taught some new tricks; having moved beyond basic stability it can now jump around and upon things with an impressive degree of control.

Key to doing this is the ability to plant its single foot exactly where it wants, which allows for more complex behaviors such as hopping onto and across different objects. [Justin Yim] shows this off in the video embedded below, which demonstrates the Salto-1P bouncing around in a remarkably controlled fashion, even on non-ideal things like canted surfaces. Two small propellers allow the robot to twist in midair, but all the motive force comes from the single leg.

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Better Beer Through Gene Editing

As much as today’s American beer drinker seems to like hoppy IPAs and other pale ales, it’s a shame that hops are so expensive to produce and transport. Did you know that it can take 50 pints of water to grow enough hops to produce one pint of craft beer? While hops aren’t critical to beer brewing, they do add essential oils and aromas that turn otherwise flat-tasting beer into delicious suds.

Using UC Berkley’s own simple and affordable CRISPR-CaS9 gene editing system, researchers [Charles Denby] and [Rachel Li] have edited strains of brewer’s yeast to make it taste like hops. These modified strains both ferment the beer and provide the hoppy flavor notes that beer drinkers crave. The notes come from mint and basil genes, which the researchers spliced in to yeast genes along with the CaS9 protein and promoters that help make the edit successful. It was especially challenging because brewer’s yeast has four sets of chromosomes, so they had to do everything four times. Otherwise, the yeast might reject the donor genes.

So, how does it taste? A group of employees from a nearby brewery participated in a blind taste test and agreed that the genetically modified beer tasted even hoppier than the control beer. That’s something to raise a glass to. Call and cab and drive across the break for a quick video.

Have you always wanted to brew your own beer, but don’t know where to start? If you have a sous vide cooker, you’re in luck.

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DASH: Clever Construction And Resilience In Robotics

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Behold the Dynamic Autonomous Sprawled Hexapod (DASH). The video above was presented at the 2009 International Conference on Intelligent Robots and Systems. In it we see the toils of a team from UC Berkeley’s Biomimetic Millisystems Lab. They’ve developed a robot propulsion system that mimics some of the best aspects of cockroaches and other insect bodies: speed, economy of motion, ability to survive large falls without damage, and the capability to traverse obstacles. Let’s take a look at how they put this together after the break. Continue reading “DASH: Clever Construction And Resilience In Robotics”

CuBear, Berkeley’s Rubik’s Cube Solver

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A team of five UC Berkeley engineering built this impressive Rubik’s Cube solver. The CuBear is a giant transparent cube with a servo attached to each face to rotate the cube’s six faces. The user can either scramble the cube using computer controls or show the faces of a scrambled cube to the onboard webcam, and the machine will replicate it. While scrambling the cube may take many moves, the computer calculates the shortest number of moves to solve the cube before proceeding. Team member [Dan Dzoan] is quite a fast solver himself, as you can see at the end of BotJunkie’s video embedded below. Continue reading “CuBear, Berkeley’s Rubik’s Cube Solver”