Astera Labs: Purpose-Built Connectivity


Growing amounts of data are forcing companies to rethink where data is processed and when, how and where it is moved. But solutions may vary greatly from one company to the next, and from one use case or application to the next. This is forcing the adoption of a heterogenous compute architecture that combines traditional processors, such as CPUs, GPUs and FPGAs, with AI processors and smart net... » read more

Vtech: Bus Performance, FPGA Debug


It has been a long time since I was able to talk about a new verification company, but today I can introduce you to Verification Technology, or Vtech for short. If you do a search for them, you will probably find a company that sells baby monitors and kids toys. This is not that company. So, let's make sure you have the right web address to start with https://vtech-usa.com/ or https://vtech-inc... » read more

Startup Funding: February 2020


AI drew the biggest investments last month, with two AI hardware companies and one autonomous driving software startup pulling in nine-figure sums. Investors also pumped money into semiconductor manufacturing and test equipment, notably around EUV lithography and advanced packaging. AI Hardware SambaNova Systems received $250M in Series C funding for its software-defined hardware for AI, le... » read more

Aspinity’s Analog Neural Net Wake-Up Call


Putting an analog chip in front of an always-on system for digitizing speech and having the analog chip listen for sounds of interest may help avoid huge power waste and data congestion in current voice-recognition systems. Aspinity, an analog neuromorphic semiconductor startup, has worked the problem and just announced its Reconfigurable Analog Modular Processor (RAMP) platform yesterday. RAMP... » read more

Carbon Nanotube DRAM


An IP design house has developed a scalable DRAM replacement using carbon nanotubes (CNTs) that abolishes the DRAM refresh rate, stores the content permanently, has better timing than DRAM and is scalable. And it lasts for somewhere between 300 and 12,000 years. “Carbon nanotube memory—it sounds so sexy that I could just shut up and not say anything,” said Bill Gervasi, principal syste... » read more

Syntiant: Analog Deep Learning Chips


Startup Syntiant Corp. is an Irvine, Calif. semiconductor company led by former top Broadcom engineers with experience in both innovative design and in producing chips designed to be produced in the billions, according to company CEO Kurt Busch. The chip they’ll be building is an inference accelerator designed to run deep-learning processes 50x more efficiently than traditional stored-prog... » read more

Sigasi: Cleaner VHDL And SystemVerilog


Hardware engineers always have looked at software tools and methodologies with a certain degree of envy. While the hardware side has embraced the discipline necessary to get products right prior to release, in large part because it's too expensive to fix an error in hardware, the tools and languages are generally clunkier and the methodologies are much more rigid. Like software, they have to in... » read more

MapD Makes GPUs First-Class Citizens


It’s now well known that with the latest innovations in parallel programming and GPU technology, graphics processing units (GPUs) can be harnessed today to deal with the enormous data sets regularly encountered in applications ranging from ADAS, artificial intelligence, and gaming to deep learning, scientific computation, and high-performance computing. But how exactly do you find what you... » read more

Menta Embeds FPGA Programmability


What constitutes a startup can be a matter of the market segment you are going after and the type of product that you are building. Within [getkc id="7" kc_name="EDA"], we often think of the lifetime of a company being just a few years between when an opportunity is identified, to a product being built and getting the first few customers and then getting gobbled up by one of the big three. But ... » read more

Valtrix Pushes For Horizontal Verification Reuse


Some of the most significant advances are not the result of a single person or a single idea. They often don’t happen overnight, and are suggested by a change that slowly becomes pervasive enough to become a generalized solution. That is exactly what is happening right now in the area of functional verification. The tools and methodologies in place at the moment assumed designs typical of the... » read more

← Older posts