中文 English

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

Tensilica DSP Code Generation Toolbox With MATLAB/Simulink


MATLAB and Simulink are widely used for modeling and simulating real-time dynamical systems. To verify the performance of MATLAB/Simulink models of these systems in a real-time application, MATLAB/Simulink models are converted to embedded C code and executed on a target processor or its equivalent Instruction Set Simulator (ISS). To deploy the generated C code in a processor, the genera... » read more

Choosing Which Tasks To Optimize In Chips


The optimization of one or more tasks is an important aspect of every SoC created, but with so many options now on the table it is often unclear which is best. Just a few years ago, most people were happy to buy processors from the likes of Intel, AMD and Nvidia, and IP cores from Arm. Some even wanted the extensibility that came from IP cores like Tensilica and ARC. Then, in 2018, John Henn... » read more

Incremental Design Breakdown


For the past two decades, most designs have been incremental in nature. They heavily leveraged IP used in previous designs, and that IP often was developed by third parties. But there are growing problems with that methodology, especially at advanced nodes where back-end issues and the impact of 'shift left' are reducing the savings from reuse. The value of IP reuse has been well established... » read more

The Verification Mindset


The practice of semiconductor verification has changed substantially over the years, and will continue to do so. The skillset needed for functional verification 20 years ago is hardly recognizable as a verification skillset today, and the same should be expected moving forward as design and verification becomes more abstract, the boundary of what is implemented in hardware versus firmware and s... » read more

Speeding Up AI With Vector Instructions


A search is underway across the industry to find the best way to speed up machine learning applications, and optimizing hardware for vector instructions is gaining traction as a key element in that effort. Vector instructions are a class of instructions that enable parallel processing of data sets. An entire array of integers or floating point numbers is processed in a single operation, elim... » read more

Week In Review: Auto, Security, Pervasive Computing


AI, machine learning Cadence says it has optimized its Tensilica HiFi digital signal processor IP to efficiently execute TensorFlow Lite for Microcontrollers, which are used in Google’s machine learning platform for edge. This means developers of AI/ML on the edge systems can now put better audio processing on edge devices with ML applications like keyword detection, audio scene detection, n... » read more

Week In Review: IoT, Security, Autos


Internet of Things Sensors that see in the dark, look deep into our faces and hear the impossible, were all part of ams’ CES lineup this week. ams announced that it has designed an advanced spectral ambient light sensor (ALS) for high-end mobile phone cameras. The ALS, called the AS7350, identifies the light source and makes an accurate white balance under low-light and other non-ideal condi... » read more

Fixed and Floating FMCW Radar Signal Processing with Tensilica DSPs


Automotive advanced driver assistance system (ADAS) applications increasingly demand radar modules with better capability and performance. These applications require sophisticated radar processing algorithms and powerful digital signal processors (DSPs) to run them. Because these embedded systems have limited power and cost budgets, the DSP’s instruction set architecture (ISA) needs to be eff... » read more

Synthesizing Hardware From Software


The ability to automatically generate optimized hardware from software was one of the primary tenets of system-level design automation that was never fully achieved. The question now is whether that will ever happen, and whether it is just a matter of having the right technology or motivation to make it possible. While high-level synthesis (HLS) did come out of this work and has proven to be... » read more

← Older posts