Have Processor Counts Stalled?


Survey data suggests that additional microprocessor cores are not being added into SoCs, but you have to dig into the numbers to find out what is really going on. The reasons are complicated. They include everything from software programming models to market shifts and new use cases. So while the survey numbers appear to be flat, market and technology dynamics could have a big impact in resh... » read more

Nvidia To Buy Arm For $40B


Nvidia inked a deal with Softbank to buy Arm for $40 billion, combining the No. 1 AI/ML GPU maker with the No. 1 processor IP company. Assuming the deal wins regulatory approval, the combination of these two companies will create a powerhouse in the AI/ML world. Nvidia's GPUs are the go-to platform for training algorithms, while Arm has a broad portfolio of AI/ML processor cores. Arm also ha... » read more

New Architectures, Much Faster Chips


The chip industry is making progress in multiple physical dimensions and with multiple architectural approaches, setting the stage for huge performance increases based on more modular and heterogeneous designs, new advanced packaging options, and continued scaling of digital logic for at least a couple more process nodes. A number of these changes have been discussed in recent conferences. I... » read more

Assessing Synchronization And Graphics-Compute-Graphics Hazards


In modern rendering environments, there are a lot of cases where a compute workload is used during a frame. Compute is generic (non-fixed function) parallel programming on the GPU, commonly used for techniques that are either challenging, outright impossible, or simply inefficient to implement with the standard graphics pipeline (vertex/geometry/tessellation/raster/fragment). In gener... » read more

The Challenge Of Keeping AI Systems Current


Semiconductor Engineering sat down to discuss AI and its move to the edge with Steven Woo, vice president of enterprise solutions technology and distinguished inventor at Rambus; Kris Ardis, executive director at Maxim Integrated; Steve Roddy, vice president of Arm's Products Learning Group; and Vinay Mehta, inference technical marketing manager at Flex Logix. What follows are excerpts of that ... » read more

Smaller Nodes, Much Bigger Problems


João Geada, chief technologist at Ansys, sat down with Semiconductor Engineering to talk about device scaling, advanced packaging, increasing complexity and the growing role of AI. What follows are excerpts of that conversation. SE: We've been pushing along Moore's Law for roughly a half-century. What sorts of problems are you seeing now that you didn't see a couple nodes ago? Geada: The... » read more

Week In Review: Auto, Security, Pervasive Computing


Security Ninety-one percent of commercial applications contain outdated or abandoned open-source components —a security threat, says Synopsys in its recently released report 2020 Open Source Security and Risk Analysis (OSSRA). In the fifth annual edition of the report, Synopsys’ research team in its Cybersecurity Research Center (CyRC) found that 99% of the 1,250 commercial codebases revie... » read more

Re-Imagining The GPU


John Rayfield, CTO at Imagination Technologies, sat down with Semiconductor Engineering to talk about RISC-V, AI, and computing architectures. What follows are excerpts of that conversation. SE: What your plans are for RISC-V? Rayfield: We're actively finalizing the integration of RISC-V cores into future-generation GPUs. That work has been going on for several months. Moving forward, we'... » read more

Tracking Automotive’s Rapidly Shifting Ecosystem


The automotive ecosystem is becoming much harder to navigate as automakers, Tier 1s and IP vendors redefine their relationships based upon shifting value caused by an rapidly expanding amount of increasingly interdependent and complex electronic content. Predictions of massive change started almost a decade ago with a number of pilot programs around autonomous vehicles. But those shifts real... » read more

Software-Defined Hardware Gains Ground — Again


The traditional approach of running generic software on x86-based CPUs is running out of steam for many applications due to the slowdown of Moore’s Law and the concurrent exponential growth in software application complexity and scale. In this environment, the software and hardware are disparate due the dominance of the x86 architecture. “The need for and advent of the hardware accelerat... » read more

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