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Posts Tagged ‘RISC-V’

Adopting New Methods For Faster Development Of RISC-V based SoCs

Monday, February 3rd, 2020

The growth of new technologies such as artificial intelligence, machine learning, Internet of Things (IoT), virtual/augmented reality and of course, the various technologies for the automotive industry has led to a new surge in the development of semiconductor chips. The growth had been stunted in part due to the considerable cost involved in using the processor core, which forms the heart of most SoCs. The enormous cost, risk, development time and necessary volumes of developing a processor, has kept this lucrative industry in the hands of just a few companies. That is, until now.

With the development of the open source RISC-V ISA from UC Berkeley labs, based on the new computing needs in various power and performance dimensions, the semiconductor industry is once again at the cusp of embracing an incredible surge in innovation. Over the last few years, the interest in RISC-V has been gaining steam with commercial implementations and adoption growing rapidly.
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Creating Test Sequences for RISC-V Cores and SoCs

Monday, October 7th, 2019

The idea of an open-source CPU core was virtually unheard-of ten years ago – let alone using it for commercial applications. The CPU core has been the most critical part of any computing system and thus, has been the most valuable and profitable. Over the years, companies like IBM®, Intel® and ARM® have built their empires either from CPU core development or license distribution.

Fast forward to today, the entire computing industry is in the early stages of a new paradigm shift where the CPU would no longer be the central processing unit. Mainly driven by the exploding growth of data that we produce and consume as a global society, even the highly successful von Neumann architecture is becoming obsolete. There is big data used for prediction, analytics and machine learning training, and there is fast data used for real-time applications such as IoT edge, geo-spatial systems and autonomous vehicles.
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