The design of security for embedded systems is a critical and difficult task. Security requirements are often not fully identified at the beginning of the project. Once they have been identified they are not necessarily static and can change multiple times through the design cycle. One reason for changing security requirements is that the various […]
Managing power consumption and dissipation in embedded systems for a greener world
Three of the keys to successfully managing power consumption and dissipation in embedded systems are using various active power management techniques, power-aware code and software optimization, and making power management an integral part of the design flow process from the beginning. Active power management can include the use of power gating, clock gating, dynamic voltage […]
How “green” is your Artificial Intelligence?
Artificial intelligence (AI) systems face a set of conflicting goals: being accurate (consuming large amounts of computational power and electrical power) and being accessible (being lower in cost, less computationally intensive, and less power-hungry). Unfortunately, many of today’s AI implementations are environmentally unsustainable. Improvements in AI energy efficiency will be driven by several factors, including […]
Benchmarking AI from the edge to the cloud
Artificial Intelligence (AI), machine learning (ML), and deep learning (DL) are fast-changing and complex fields. Until relatively recently, there were no performance benchmarks for AI, ML, or DL systems. That is changing. Today, several industry organizations have developed AI, and ML benchmarks, with more complex benchmarks for DL coming soon. Those efforts stretch from the […]
Artificial Intelligence, Machine Learning, Deep Learning, and Cognitive Computing
Artificial intelligence (AI) is the field in computer science where machines attempt to mimic human reasoning to recognize and analyze situations and make decisions. AI has been under development for decades, but only recently has computing power and memory become high enough in performance and low enough in cost to make AI a practical tool […]
Advances in memory system architectures – Virtual Roundtable (part 2 of 2)
The second part of our Virtual Roundtable series on memories focuses on “advances in memory system architectures.” We are joined by Nando Basile (NB), Technology Marketing Manager for Memory with X-FAB, Bob Brennan (BB), Vice President of Emerging Memory at Micron. JS: What design challenges should system architects be aware of when employing persistent memory? […]
Emerging memory technologies – Virtual Roundtable (part 1 of 2)
Hosted by Jeff Shepard In this Virtual Roundtable session on emerging memory technologies, we are joined by Nando Basile (NB), Technology Marketing Manager for Memory with X-FAB; Bob Brennan (BB), Vice President of Emerging Memory at Micron; and Mark Reiten (MR), Vice President, Licensing Business Unit, Silicon Storage Technology (SST), a wholly-owned subsidiary of Microchip […]
Memory-centric computing and memory system architectures
This three-part FAQ series began by considering “Memory Basics – Volatile, Non-volatile and Persistent.” Part two looked at “Memory Technologies and Packaging Options.” Recently developed persistent memory technologies, three-dimensional packaging for memories, advanced multicore processors, demands to process larger and larger datasets and databases, and artificial intelligence are driving the emergence of a new category […]
Memory technologies and packaging options
Solid-state memory devices are available in a wide variety of standard package styles that they have in common with other semiconductor devices, including DIP, TSSOP, DFN, WLCSP, and many others. And various packages are offered in plastic, glass, ceramic, and metal containing one or more devices. They are also available in hermetically-sealed packages and non-hermetic […]
