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

CCIX – What And Why?


There are two significant issues with today’s I/O interconnects: high speed storage and networking applications need more bandwidth than currently available technologies provide, and co-processing/acceleration functions need cache coherency for faster access to memory in heterogeneous multi-processor systems. These requirements are driving the development of a new specification called Cache C... » read more

The Secret Life Of Accelerators


Accelerator chips increasingly are providing the performance boost that device scaling once provided, changing basic assumptions about how data moves within an electronic system and where it should be processed. To the outside world, little appears to have changed. But beneath the glossy exterior, and almost always hidden from view, accelerator chips are becoming an integral part of most des... » read more

Toward Better Accelerators


In the not-too-distant past, the standard mobile application processor architecture was the predominant one used for most System-on-Chip (SoC) designs, but that is rapidly changing as new systems and applications emerge in the post-mobile computing era. New requirements for autonomous driving are motivating technology innovations: Visual processing, deep neural networks and machine learning pla... » read more

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