tag: Rambus

GDDR6 Pushes The Memory Envelope For AI And ADAS
By Frank Ferro - 14 Nov, 2019 - Comments: 0

Memory bandwidth is an ever-increasing critical bottleneck for a wide range of use cases and applications. These include artificial intelligence (AI), machine learning (ML), advanced driver-assistance systems (ADAS), as well as 5G wireless and wireline infrastructure. In addition to memory bottlenecks, the above-mentioned use cases and applications are rapidly hitting the real-world limits of t... » read more

Understanding Side Channel Attacks
By Gary Kenworthy - 11 Nov, 2019 - Comments: 0

Side channel attacks (SCAs) differ considerably from conventional cryptographic attacks. Essentially, side channel attacks – which can be very low-cost and non-invasive – exploit data gathered from side channels. A side channel can be exploited by simply placing an antenna, magnetic probe, or other sensor near a device or system. This allows an attacker to measure power consumption, voltage... » read more

Week In Review: Design, Low Power
By Jesse Allen - 08 Nov, 2019 - Comments: 0

Cadence unveiled a static timing/signal integrity analysis and power integrity analysis tool, Tempus Power Integrity Solution, that integrates the Tempus Timing Signoff and Voltus IC Power Integrity signoff engines. Early use cases demonstrated it correctly identified IR drop errors, avoiding silicon failure prior to tapeout and improving the maximum frequency in silicon by up to 10%. Arasan... » read more

Week in Review: Iot, Security, Automotive
By SE Staff - 08 Nov, 2019 - Comments: 0

IoT STMicroelectronics is now supporting LoRaWAN firmware updates over the air (FUOTA) in the STM32Cube ecosystem. Microsoft is adding ANSYS Twin Builder to its Microsoft Azure Digital Twins software, which companies use to create digital twins of machinery and IoT devices that are deployed in remotely. The digital replica of actual devices helps companies predict when maintenance is needed... » read more

How Secure Is Your Face?
By Yuri Nagano - 07 Nov, 2019 - Comments: 0

Biometric security, which spans everything from iris scans to fingerprint sensors, is undergoing the same kind of race against hackers as every other type of sensor. While most of these systems work well enough to identify a person, there are a number of well-known ways to defeat them. One is simply to apply newer technology to cracking algorithms used inside these devices. Improvements in p... » read more

Layered Security Offers Best Embedded Hardware Security
By Joel Wittenauer - 04 Nov, 2019 - Comments: 0

The importance of building a secure and rigid foundation in SoC and system designs has never been so true as it is now, given not only the garden variety of software vulnerabilities existing today, but also micro-architectural attacks on CPUs like Meltdown, Spectre, and Foreshadow. Design engineers should embrace two security-related tenets when selecting a security processor: one is depth o... » read more

Week In Review: Design, Low Power
By Jesse Allen - 01 Nov, 2019 - Comments: 0

Micron acquired FWDNXT, an AI software and hardware startup. Founded in 2017 and based in Lafayette, Indiana, FWDNXT, specializes in building machine learning deep neural network inference accelerators scalable from edge devices to server-class performance as Xilinx FPGAs, SoCs, or SDK. The company's engine already powers Micron's Deep Learning Accelerator (DLA) technology. “FWDNXT is an a... » read more

Week in Review: IoT, Security, Autos
By SE Staff - 01 Nov, 2019 - Comments: 0

IoT/Edge Achronix teamed up with Bittware to develop a smart accelerator card based on a 7nm FPGA from Achronix. The card is targeted for edge devices, where pre-processing and acceleration of data movement is critical due to the enormous quantity of data being generated by sensors. The strategy is to move the processing closer to the data, rather than processing input from multiple sensors in... » read more

Accelerating Chiplets With 112G XSR SerDes PHYs
By Nhat Nguyen - 31 Oct, 2019 - Comments: 0

The fading of Moore’s Law and an almost exponential increase in data is challenging the semiconductor industry as never before. Indeed, zettabytes of data are constantly generated by a wide range of devices including IoT endpoints such as vehicles, wearables, smartphones and appliances. Moreover, sophisticated artificial intelligence (AI) and machine learning (ML) applications are adding new ... » read more

Tricky Tradeoffs For LPDDR5
By Ann Mutschler - 30 Oct, 2019 - Comments: 0

LPDDR5 is slated as the next-gen memory for AI technology, autonomous driving, 5G networks, advanced displays, and leading-edge camera applications, and it is expected to compete with GDDR6 for these applications. But like all next-gen applications, balancing power, performance, and area concerns against new technology options is not straightforward. These are interesting times in the memory... » read more

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