Flipping Processor Design On Its Head

AI is changing processor design in fundamental ways, combining customized processing elements for specific AI workloads with more traditional processors for other tasks. But the tradeoffs are increasingly confusing, complex, and challenging to manage. For example, workloads can change faster than the time it takes to churn out customized designs. In addition, the AI-specific processes may ex... » read more

Why A DSP Is Indispensable In The New World of AI

Chips being designed today for the automotive, mobile handset, AI-IoT (artificial intelligence - Internet of things), and other AI applications will be fabricated in a year or two, designed into end products that will hit the market in three or more years, and then have a product lifecycle of at least five years. These chips will be used in systems with a large number and various types of senso... » read more

Evolution Of Equalization Techniques In High-Speed SerDes For Extended Reaches

The relentless demand for massive amounts of data is accelerating the pace of high-performance computing (HPC) within the high-speed Ethernet realm. This escalation, in turn, intensified the complexity associated with designing networking SoCs, including switches, NICs, retimers, and pluggable modules. Such growth is accelerating the demand for bandwidth hungry applications to transition from 4... » read more

Programming Processors In Heterogeneous Architectures

Programming processors is becoming more complicated as more and different types of processing elements are included in the same architecture. While systems architects may revel in the number of options available for improving power, performance, and area, the challenge of programming functionality and making it all work together is turning out to be a major challenge. It involves multiple pr... » read more

Fully Reconfigurable DSP: As Fast As Hardwired At ~2x Area/Power

Today if you want high performance DSP you have three choices: Hardwire your function – zero flexibility Use DSP IP based on VLIW Use FPGAs with DSP MACs or math engines What we hear from customers is that there is a growing need for very fast and very flexible DSP, which hardwired solutions can’t address. And that the fastest solutions are FPGAs, but they are big, high pow... » read more

Improved DSP And AI Performance On An MCU Core

In the world of embedded devices, there's a growing demand for advanced machine learning and signal processing capabilities. ARM Cortex-M85, the latest general-purpose core, aims to meet these demands with its 32-bit Armv8.1-M architecture, offering high performance and power efficiency. The core's Helium technology, M-profile vector extension (MVE), provides significant uplift for ML/DSP appl... » read more

Automated HW/SW Co-Design Of DSP Systems Composed Of Processors And Hardware Accelerators

Seemingly overnight, data acquisition and digital signal processing have gone from a hidden background function in special purpose-built subsystems, such as PC graphics cards and airborne missile guidance systems, to the foreground in the form of in-ear IoT devices, smartphones, and autonomous vehicles. As the number of smart data-acquisition devices grows, so does the amount of data requiring ... » read more

Why Data-Over-Sound Is An Integral Part Of Any IoT Engineer’s Toolbox

Data-over-sound technology such as Chirp presents a compelling solution for many device-to-device connectivity applications, particularly for use cases that require frictionless, low cost connectivity with nearby devices. Download this white paper to: Understand the fundamental concepts and benefits of data-over-sound connectivity Explore the key application areas within the Internet... » read more

Options Widen For Optimizing IoT Designs

Creating a successful IoT design requires a deep understanding of the use cases, and a long list of tradeoffs among various components and technologies to provide the best solution at the right price point. Maximizing features and functions while minimizing costs is an ongoing balancing act, and the number of choices can be overwhelming. The menu includes SoC selection, OS and software proto... » read more

Tensilica DSPs Support In Eigen Library

Eigen is a high-level C++ library of template headers for linear algebra, matrix and vector operations, geometrical transformations, numerical solvers, and related algorithms. Eigen is open-source software licensed under the Mozilla Public License 2.0 (MPL2). Eigen is implemented using the expression templates metaprogramming technique, meaning it builds expression trees at compile time... » read more

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