FPGA Graduates To First-Tier Status


Robert Blake, president and CEO of Achronix, sat down with Semiconductor Engineering to talk about fundamental shifts in compute architectures and why AI, machine learning and various vertical applications are driving demand for discrete and embedded FPGAs. SE: What’s changing in the FPGA market? Blake: Our big focus is developing the next-generation architecture. We started this projec... » read more

AI Chip Architectures Race To The Edge


As machine-learning apps start showing up in endpoint devices and along the network edge of the IoT, the accelerators that make AI possible may look more like FPGA and SoC modules than current data-center-bound chips from Intel or Nvidia. Artificial intelligence and machine learning need powerful chips for computing answers (inference) from large data sets (training). Most AI chips—both tr... » read more

Power/Performance Bits: Nov. 20


In-memory compute accelerator Engineers at Princeton University built a programmable chip that features an in-memory computing accelerator. Targeted at deep learning inferencing, the chip aims to reduce the bottleneck between memory and compute in traditional architectures. The team's key to performing compute in memory was using capacitors rather than transistors. The capacitors were paire... » read more

Accelerators Everywhere. Now What?


It's a good time to be a data scientist, but it's about to become much more challenging for software and hardware engineers. Understanding the different types and how data flows is the next path forward in system design. As the number of sources of data rises, creating exponential spikes in the volume of data, entirely new approaches to computing will be required. The problem is understandi... » read more

What Makes A Good AI Accelerator


The rapid growth and dynamic nature of AI and machine learning algorithms is sparking a rush to develop accelerators that can be optimized for different types of data. Where one general-purpose processor was considered sufficient in the past, there are now dozens vying for a slice of the market. As with any optimized system, architecting an accelerator — which is now the main processing en... » read more

The Building Blocks Of Future Compute


Eric Hennenhoefer, vice president of research at Arm, sat down with Semiconductor Engineering to talk about privacy, security, high-performance computing, accelerators, and Arm’s research. What follows are excerpts of that conversation. SE: Privacy, cybersecurity, silicon photonics, quantum computing are all hot topics today. What do you find really interesting with these emerging areas? ... » read more

Hardware Acceleration With eFPGAs


If integrating an embedded FPGA (eFPGA) into your ASIC or SoC design strikes you as odd, it shouldn’t. ICs have been absorbing almost every component on a circuit board for decades, starting with transistors, resistors, and capacitors –– then progressing to gates, ALUs, microprocessors, and memories. FPGAs are simply one more useful component in the tool box, available for decades and ... » read more

Higher Performance, Lower Power Everywhere


The future of technology is all about information—not just data—at our fingertips, anywhere and at any time. But making all of this work properly will require massive improvements in both performance and power efficiency. There are several distinct pieces to this picture. One is architectural, which is possibly the simplest to understand, the most technologically challenging to realize, ... » read more

And The Winner Is…


Finding out what resonates with our readers is important, so each year I look back through the list of the best-read articles for the channels that I write for. While this simple strategy does favor articles published during the early part of the year, the fact that our readership continues to grow, partially offsets this bias. For example, in Low Power/High Performance (LPHP) a quarter of the ... » read more

Get eFPGA With Your CPU Now


eFPGA is available now on mainstream process nodes (40, 28 and 16), in sizes from 200 LUTs to 200K LUTs and with options for DSP and RAM integration to fit almost any customer need. Flex Logix has been working for some time with multiple customers on integrating eFPGA with their CPUs: ARM, RISC-V, Tensilica and others. Bus interfaces include AXI, AHB, APB and TL. Our lead customer has workin... » read more

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