Computing Way Outside Of A Box


Mike Muller, CTO of Arm, sat down with Semiconductor Engineering to talk about changing boundaries between client and server machines, the end of Moore's Law and the impact of machine learning on chip architectures. What follows are excerpts of that conversation. SE: Are the lines blurring between what's considered a client device and what's considered a server? Muller: It's less about a ... » read more

Week in Review: IoT, Security, Auto


Internet of Things At Arm TechCon, Arm unveiled its Neoverse brand identity, providing an infrastructure foundation for 5G, the Internet of Things, edge computing, and other applications. The Arm Neoverse IP will proliferate next year from Arm and its technology partners. With Arm’s “Ares” platform, to be introduced in 2019, the company promises to deliver 30% per-generation performance ... » read more

Processors Are Exciting Again


Today is a very exciting time in the world of processor architectures. Domain-specific processor architectures are now fully realized as the best answers to the challenges of low power and high performance for many applications. Advancements in artificial intelligence are leading the way to exciting new experiences and products today and in our future. There have been more advances in deep lear... » read more

The Week in Review: IoT


Finance San Francisco-based Aquabyte has raised $3.5 million in seed funding led by Costanoa Ventures and New Enterprise Associates. Princeton University and strategic investors in the U.S. and Norway also participated in the round. The startup is using computer vision and machine learning to optimize efficiency in fish farming. Aquabyte is first deploying its technology in Norway in cooperati... » read more

Design Chains Will Drive The Top 5 EDA Trends In 2018


In my prediction piece last year, I made seven trend predictions. Looking back, I did very well compared to what actually happened. For 2018, I am cutting it down to five trends that will impact EDA, but in my mind a lot of the trends will be driven by the ever-evolving ecosystem of design chains from IP though semiconductor to systems and to OEMs. While HBO’s 'Game of Thrones' comes to a con... » read more

One-On-One: Mike Muller


Arm CTO Mike Muller sat down with Semiconductor Engineering to discuss a wide range of technology and market shifts, including the impact of machine learning, where new market opportunities will show up and how the semiconductor industry will need to change to embrace them. What follows are excerpts of that conversation. SE: It's getting to the point where instead of just developing chips, w... » read more

Tech Talk: Verification


Frank Schirrmeister, Cadence's senior group director for verification platforms, talks about what's changing in verification with 5G, machine learning, greater connectivity, advanced packaging, and the growing need to build security into designs. https://youtu.be/GMF8BkmdJzE » read more

System enables large speedups — as much as 88-fold — on common parallel-computing algorithms (MIT)


Source: MIT/ CSAIL: Suvinay Subramanian, Mark C. Jeffrey, Maleen Abeydeera, Hyun Ryong Lee, Victor A. Ying, Joel Emer, Daniel Sanchez As is commonly known, the chips in most modern desktop computers have four cores or processing units, which can run different computational tasks in parallel, but that the chips of the future could have dozens or even hundreds of cores, and taking advantage o... » read more

RISC-V Pros And Cons


Simpler, faster, lower-power hardware with a free, open, simple instruction set architecture? While it sounds too good to be true, efforts are underway to do just that with RISC-V, the instruction-set architecture (ISA) developed by UC Berkeley engineers and now administered by a foundation. It has been known for some time that with [getkc id="74" comment="Moore's Law"] not offering the same... » read more

Introduction to ARM Cortex-M23 And Cortex-M33 Processors With TrustZone For ARMv8-M


Given the rising demand for IoT, next generation ARM® Cortex-M processors have been designed with the technology required to become the security foundation for all embedded systems. The Cortex-M23 and Cortex-M33 processors maintain the expected characteristics of the embbeded profile such as real-time deterministic interrupt response, low power, low area, ease of development, and 32-bit perfor... » read more

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