Rapid Evolution For Verification Plans


Verification plans are rapidly evolving from mechanisms to track verification progress into multi-faceted coordination vehicles for several teams with disparate goals, using complex resource management spread across multiple abstractions and tools. New system demands from industries such as automotive are forcing tighter integration of those plans with requirements management and product lif... » read more

Does System Design Still Need Abstraction?


About 15 years ago, the assumption in the EDA industry was that system design would be inevitable. The transition from gate-level design to a new entry point at the register transfer level (RTL) seemed complete with logic synthesis becoming well-adopted. The next step seemed to be so obvious at the time: High-level synthesis (HLS) and transaction-based development beyond RTL—also taking into ... » read more

Using HLS To Improve Algorithms


Can an HLS optimization tool outperform expert-level hand-optimizations? A recently published white paper examines how SLX FPGA is used to optimize a secure hash algorithm. T the results are compared to a competition-winning hand-optimized HLS implementation of the same algorithm. This approach provides a nearly 400x speed-up over the unoptimized implementation and even outperforms the hand ... » read more

Focus Shifts To Wasted Power


Mobile phones made the industry aware of power, but now the focus is shifting to the total energy needed to perform a task. Activity that is unnecessary to perform the intended task is wasted power, and reducing it requires some new methodologies and structural changes within development teams. There is a broadening awareness about power. "The companies doing SoCs for mobile lead the charge ... » read more

High-Level Design And High-Level Verification


Not so long ago, some EDA vendors were painting a very attractive picture of chip design in the then-near future. The idea was that an architectural team would write a single description of the complete system in some high-level language, usually C/C++/SystemC, and that a new class of EDA tool would automatically partition the design into hardware and software, choosing the functionality of eac... » read more

Machine Learning For Autonomous Drive


Advances in Artificial Intelligence (AI) and Machine Learning (ML) is arguably the biggest technical innovation of the last decade. Although the algorithms for AI have been in existence for many years, the recent explosion of both data as well as faster compute made it possible to apply those algorithms to solve many real life use cases. One of the most prominent of these use cases is fully aut... » read more

Synthesizing Hardware From Software


The ability to automatically generate optimized hardware from software was one of the primary tenets of system-level design automation that was never fully achieved. The question now is whether that will ever happen, and whether it is just a matter of having the right technology or motivation to make it possible. While high-level synthesis (HLS) did come out of this work and has proven to be... » read more

Debug Tools Are Improving


Semiconductor Engineering sat down to discuss debugging complex SoCs with Randy Fish, vice president of strategic accounts and partnerships for UltraSoC; Larry Melling, product management director for Cadence; Mark Olen, senior product marketing manager for Mentor, a Siemens Business; and Dominik Strasser, vice president of engineering for OneSpin Solutions. Part one can be found here. Part two... » read more

High-Level Synthesis For Autonomous Drive


The sensors in autonomous vehicles continuously generate a high volume of data in real time about the environment surrounding the car. The vehicles need new hardware architectures to be able to process this data quickly and make decisions that enable self driving. Catapult, the industry’s leading High-Level Synthesis (HLS) platform, provides a new paradigm of designing silicon at a higher lev... » read more

Hardware-Software Co-Design Reappears


The core concepts in hardware-software co-design are getting another look, nearly two decades after this approach was first introduced and failed to catch on. What's different this time around is the growing complexity and an emphasis on architectural improvements, as well as device scaling, particularly for AI/ML applications. Software is a critical component, and the more tightly integrate... » read more

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