In every chip, power is a progressive problem to be solved. Designers have long had to rely on a combination of experience and knowledge to tackle this dilemma, typically having to wait until after silicon availability to perform power analysis with realistic software workloads. However, this is too late in the game, as it becomes… Read More
Artificial Intelligence
Instrumenting Post-Silicon Validation. Innovation in Verification
Instrumenting post-silicon validation is not a new idea but here’s a twist. Using (pre-silicon) emulation to choose debug observation structures to instrument in-silicon. Paul Cunningham (GM, Verification at Cadence), Raúl Camposano (Silicon Catalyst, entrepreneur, former Synopsys CTO) and I continue our series on research… Read More
The Quest for Bugs: “Correct by Design!”
In this article we take an objective view of Virtual Prototyping from the engineering lens and the “quest to find bugs”. In this instance we discuss the avoidance of bugs in terms of architecting complex ASICs to be “correct by design”.
AI Challenges
It is not surprising to find out that other areas of human endeavour, beyond semiconductor… Read More
Neural Nets and CR Testing. Innovation in Verification
Leveraging neural nets and CR testing isn’t as simple as we first thought. But is that the last word in combining these two techniques? Paul Cunningham (GM, Verification at Cadence), Raúl Camposano (Silicon Catalyst, entrepreneur, former Synopsys CTO) and I continue our series on research ideas. As always, feedback welcome.… Read More
Data Orchestration Hardware Unlocks the Full Potential of AI
We all know that artificial intelligence (AI) and machine learning (ML) are fundamentally changing the world. From the smart devices that gather data to the hyperscale data centers that analyze it, the impact of AI/ML can be felt almost everywhere. It is also well-known that hardware accelerators have opened the door to real-time… Read More
Architecture Wrinkles in Automotive AI: Unique Needs
Arteris IP recently spoke at the Spring Linley Processor Conference on April 21, 2021 about Automotive systems-on-chip (SoCs) architecture with artificial intelligence (AI)/machine learning (ML) and Functional Safety. Stefano Lorenzini presented a nice contrast between auto AI SoCs and those designed for datacenters.… Read More
Cadence Extends Tensilica Vision, AI Product Line
Vision pipelines, from image signal processing (ISP) through AI processing and fancy effects (super-resolution, Bokeh and others) has become fundamental to almost every aspect of the modern world. In automotive safety, robotics, drones, mobile applications and AR/VR, what we now consider essential we couldn’t do without… Read More
Verification Management the Synopsys Way
Remember the days when verification meant running a simulator with directed tests? (Back then we just called them tests.) Then came static and formal verification, simulation running in farms, emulation and FPGA prototyping. We now have UVM, constrained random testing and many different test objectives (functional, power,… Read More
Arteris IP Contributes to Major MPSoC Text
You might have heard of the Multicore and Multiprocessor SoC (MPSoC) Forum sponsored by IEEE and other industry associations and companies. This group of top-notch academic and industry technical leaders gets together once a year to talk about hardware and software architecture and applications for multicore and multiprocessor… Read More
Flex Logix Closes $55M in Series D Financing and Accelerates AI Inference and eFPGA Adoption
Flex Logix is a unique company. It is one of the few that supplies both FPGA and embedded FPGA technology based on a proprietary programmable interconnect that uses half the transistors and half the metal layers of traditional FPGA interconnect. Their architecture provides some rather significant advantages. I wrote about their… Read More
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