11 Ways To Reduce AI Energy Consumption


As the machine-learning industry evolves, the focus has expanded from merely solving the problem to solving the problem better. “Better” often has meant accuracy or speed, but as data-center energy budgets explode and machine learning moves to the edge, energy consumption has taken its place alongside accuracy and speed as a critical issue. There are a number of approaches to neural netw... » read more

Securing ICs With Information Flow Analysis


Following the data has new meaning when it comes to security. Alric Althoff, senior hardware security engineer at Tortuga Logic, talks about tracking the flow of data through a hardware design over time, including what happens with roots of trust, how this works with existing tools and methodologies, and what to think about when tracing potential security risks. » read more

Edge-Inference Architectures Proliferate


First part of two parts. The second part will dive into basic architectural characteristics. The last year has seen a vast array of announcements of new machine-learning (ML) architectures for edge inference. Unburdened by the need to support training, but tasked with low latency, the devices exhibit extremely varied approaches to ML inference. “Architecture is changing both in the comp... » read more

Designing Low Energy Chips And Systems


Energy optimization is beginning to shift left as design teams begin examining new ways to boost the performance of devices without impacting battery life or ratcheting up electricity costs. Unlike power optimization, where a skilled engineering team may reduce power by 1% to 5%, energy efficiency may be able to cut effective power in half. But those gains require a significant rethinking of... » read more

The Lost Art Of Processor Verification


As we celebrate over 50 years of microprocessors, the industry has embraced every generation of silicon process technology with architectural innovation plus new design methods that have supported innovations in almost every market segment. The interest around RISC-V is opening up increased activity around new approaches to optimize designs for the next generation of devices across multiple mar... » read more

RISC-V Verification Challenges Spread


The RISC-V ecosystem is struggling to keep pace with rapid innovation and customization, which is increasing the amount of verification work required for each design and spreading that work out across more engineers at more companies. The historical assumption is that verification represents 60% to 80% or more of SoC project effort in terms of cost and time for a mature, mainstream processor... » read more

Multicore Debug Evolves To The System-Level


The proliferation and expansion of multicore architectures is making debug much more difficult and time-consuming, which in turn is increasing demand for more comprehensive system-level tools and approaches. Multicore/multiprocessor designs are the most complex devices to debug. More interactions and interdependencies between cores mean more things possibly can go wrong. In fact, so many pro... » read more

Software Due Diligence: A Buyer’s Checklist And Guidelines


The potential risk and exposure posed by M&A transactions demand thorough and robust due diligence practices. When an acquisition involves software, it's critical to ensure that associated risks are identified and fully understood. Knowing what questions to ask when performing due diligence is key to avoiding potential risks and legal complications. This is especially true for the acquisiti... » read more

Security Gaps In Open Source Hardware And AI


Semiconductor Engineering sat down to discuss security risks across multiple market segments with Helena Handschuh, security technologies fellow at Rambus; Mike Borza, principal security technologist for the Solutions Group at Synopsys; Steve Carlson, director of aerospace and defense solutions at Cadence; Alric Althoff, senior hardware security engineer at Tortuga Logic; and Joe Kiniry, princi... » read more

Silo Busting In The Design Flow


An increasing number of dependencies in system design are forcing companies, people, tools, and flows to become more collaborative. Design and EDA companies must adapt to this new reality because it has become impossible for anyone to do it all by themselves. Moreover, what happens in manufacturing and packaging needs to be considered up front, and what gets designed in the design phase may ... » read more

← Older posts Newer posts →