Securely Store Your Credentials And Cryptographic Keys In TPM 2.0


A Trusted Platform Module (TPM) can securely store cryptographic keys that are specific to the host system and provide restricted access to the stored keys and secrets. You can never read out private keys, or in other words retrieve them as is from the TPM. Let’s say you need to generate a signature: you can indicate the private key you wish to use from the TPM to sign the message. You can... » read more

Automotive Security: Meeting The Growing Challenges With Certified Hardware Security Module IP


Automotive systems, and the semiconductors used within them, are some of the most complex electronics seen today. The radical transformation from an isolated mechanical car to a connected software-driven car is driving the increased use of semiconductors in vehicles: these include advanced driver assistance systems (ADAS), electrification, and enhanced driver/passenger experience. More conne... » read more

Secure Implementation Of Post-Quantum Crypto In The Spotlight


The US-based NIST body takes a leading role in the migration to Post-Quantum Crypto (PQC). After a multi-year selection process, in 2022 they preliminarily identified a number of Post Quantum algorithms, which were recommended to replace the current public key algorithms (RSA, ECC). While the process of scrutiny is still ongoing, they now took another important step by putting emphasis on imple... » read more

The Automotive Electric Vehicle Transition


The only really interesting part of the automotive industry is the electric vehicle (EV) segment. These vehicles are also called NEVs in China for "new energy vehicles". The reason that I say this is the only interesting segment is because it is clear that the whole world is moving fast to EVs and internal combustion engines (ICEs) will decline. One challenge for traditional automotive manufact... » read more

Automotive Safety Island


The promise of autonomous vehicles is driving profound changes in the design and testing of automotive semiconductor parts. Automotive ICs, once deployed for simple functions like controlling windows, are now performing complex functions related to advanced driver-assist systems (ADAS) and autonomous driving applications. The processing power required results in very large and complex ICs that ... » read more

Blog Review: May 3


Synopsys' Thomas Andersen considers the requirements of AI-optimized chips that are resulting in exploration of different memory configurations, different types of memory, and different types of processor technologies and software components. Cadence's Girish Vaidyanathan considers the role of hierarchy and partitioning in custom design and looks at how a virtual hierarchy allows layout desi... » read more

Startup Funding: April 2023


Packaging was a hot spot in April, with one of the largest rounds going to a middle-end-of-line advanced packaging company. A second packaging company also drew significant funding for its focus on wafer-level packaging for CMOS image sensors. Two packaging substrate manufacturers also saw investment. Two photoresist makers also drew sizeable rounds. Both they and the packaging companies are... » read more

Performance Benchmarking Embedded FPGAs


This Application Note has the following objectives: Provide performance benchmark achievable on the various EFLX IP Cores currently available; Provide performance variation for different process nodes; Provide performance benchmarks to compare with other embedded FPGAs. Click here to read more. » read more

Accelerating Coverage Closure With AI-Based Verification Space Optimization


Coverage is at the heart of all modern semiconductor verification. There is no maxim more fundamental to this process than “if you haven’t exercised it, you haven’t verified it.” Although covering a particular aspect of a chip design does not guarantee that all bugs are found — bug effect propagation and checker quality are also key factors — it is certainly true that bugs cannot po... » read more

From Data Center To End Device: AI/ML Inference With GDDR6


Created to support 3D gaming on consoles and PCs, GDDR packs performance that makes it an ideal solution for AI/ML inference. As inference migrates from the heart of the data center to the network edge, and ultimately to a broad range of AI-powered IoT devices, GDDR memory’s combination of high bandwidth, low latency, power efficiency and suitability for high-volume applications will be incre... » read more

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