The Rambus GDDR6 PHY IP Core


The JEDEC-compliant Rambus GDDR6 PHY IP Core is optimized for systems that require low-latency and high-bandwidth GDDR6 memory solutions. Available on leading FinFET process nodes, the PHY interface supports two independent channels, with each supporting 16 bits for a total data width of 32 bits. In addition, the PHY supports speeds up to 16Gbps per pin, providing a maximum bandwidth of up to 6... » read more

Blog Review: Mar. 7


Synopsys' Amit Paunikar and Shaily Khare take a look at new features in LPDDR5, from improved data bandwidth and Deep Sleep Mode to WCK clock. Cadence's Paul McLellan dives into forward error correction, a technique for automatically correcting errors in transmitted network data, with a look at why it's important and how it works. In his latest embedded software video, Mentor's Colin Wall... » read more

eFPGA: Think Differently & Experiment


New technologies are never overnight successes and usually develop in new applications. Arm and other embedded processors today are a huge success and pervasive in almost all chips. It took Arm more than five years to win the first five customers. The first applications were not competitive with Intel’s PC dominance but instead filled needs in emerging applications such as mobile phones an... » read more

How To Secure The Network Edge


Microcontrollers, sensors, and other devices that live at the edge of the Internet must be protected against cyberattacks and intrusions just as much as the chips in data centers, network routers, and PCs. But securing those edge devices presents a swath of unique challenges, including the cost and availability of technology resources, as well as varying levels of motivation to solve these prob... » read more

Evaluating Side-Channel Vulnerabilities


By Bart Stevens and Gary Kenworthy In a book chapter titled “Security of Crypto IP Core: Issues and Countermeasures,” authors Debapriya Basu Roy and Debdeep Mukhopadhyay recently explored various side-channel vulnerabilities that can be exploited by an attacker. “An adversary can observe the power consumption, timing performance, electromagnetic radiation or even acoustic behavior o... » read more

(Smart) Watch this Space


The development of smart devices and the increasing possibilities of its features has lead to a search for a new frontier for technology. The idea of wearable technology has existed in science fiction and other speculative fiction, but only recently has wearable technology became a reality this decade with the introduction of wearables such as smartwatches. The development of smartwatches has n... » read more

Blog Review: Feb. 28


Mentor's Matthew Ballance explains just what the portable stimulus standard makes portable. Cadence's Dave Pursley considers why high-level synthesis is a good fit for cutting-edge machine learning designs. Synopsys' Melissa Kirschner notes that the growing number of IoT devices means new opportunities for one-time programmable NVM. Applied's Mike Rosa considers the pros and cons of 5G... » read more

RISC-V Gains Its Footing


The RISC-V instruction-set architecture, which started as a UC Berkeley project to improve energy efficiency, is gaining steam across the industry. The RISC-V Foundation's member roster gives an indication who is behind this effort. Members include Google, Nvidia, Qualcomm, Rambus, Samsung, NXP, Micron, IBM, GlobalFoundries, UltraSoC, Siemens, among many others. One of the key markets for... » read more

Blog Review: Feb. 21


Mentor's Colin Walls posits that one part of the reason modern code has so many bugs may be the way we talk about them, and it's time for a change in terminology. Following up on a post about the challenges of bringing digital literacy to an area where many are unable to read, Cadence's Madhavi Rao looks at the impact agriculture-focused IoT technologies could have on rural areas in India. ... » read more

The Week In Review: Design


Tools & IP Arm unveiled a new suite of IP focused on machine learning for edge devices. Currently dubbed Project Trillium, it includes the Arm ML processor, the second-generation Arm Object Detection (OD) processor, and open-source Arm NN software. The ML processor provides more than 4.6 TOPs in mobile environments with efficiency of 3 TOPs/W. People detection is a focus of the OD processo... » read more

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