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New Power, Performance Options At The Edge


Increasing compute intelligence at the edge is forcing chip architects to rethink how computing gets partitioned and prioritized, and what kinds of processing elements and memory configurations work best for a particular application. Sending raw data to the cloud for processing is both time- and resource-intensive, and it's often unnecessary because most of the data collected by a growing nu... » read more

An Introduction To Domain-Specific Accelerators


After 50 years, Moore’s Law, Dennard Scaling, and Amdahl’s Law are failing. The semiconductor industry much change, and processor paradigms must change with it. So what exactly are domain-specific accelerators and why are they so important in light of the failure of these semiconductor scaling laws? » read more

Shifting Toward Data-Driven Chip Architectures


An explosion in data is forcing chipmakers to rethink where to process data, which are the best types of processors and memories for different types of data, and how to structure, partition and prioritize the movement of raw and processed data. New chips from systems companies such as Google, Facebook, Alibaba, and IBM all incorporate this approach. So do those developed by vendors like Appl... » read more

Customizing Chips For Power And Performance


Sandro Cerato, senior vice president and CTO of the Power & Sensor Systems Business Unit at Infineon Technologies, sat down with Semiconductor Engineering to talk about fundamental shifts in chip design with the rollout of the edge, AI, and more customized solutions. What follows are excerpts of that conversation. SE: The chip market is starting to fall into three distinct buckets, the e... » read more

The Road To Domain-Specific Accelerators


For about fifty years, IC designers have been relying on different types of semiconductor scaling to achieve gains in performance. Best known is Moore’s Law, which predicted that the number of transistors in a given silicon area and clock frequency would double every two years. This was combined with Dennard scaling, which predicted that with silicon geometries and supply voltages shrinki... » read more

Shifting Auto Architectures


Domain controllers and gateways are being replaced by central processing modules and zonal gateways to handle all of the data traffic in a vehicle. Ron DiGiuseppe, automotive IP segment manager at Synopsys, talks with Semiconductor Engineering about how automotive applications are changing, what that means for engineering teams, and how they will shift as AI is increasingly deployed. » read more

RISC-V Targets Data Centers


RISC-V vendors are beginning to aim much higher in the compute hierarchy, targeting data centers and supercomputers rather than just simple embedded applications on the edge. In the past, this would have been nearly impossible for a new instruction set architecture. But a growing focus on heterogeneous chip integration, combined with the reduced benefits of scaling and increasing demand for ... » read more

A Layered Approach To High Performance Device Virtualization


The complexity and performance requirements of computing systems have been growing and demands are further driven by applications, such as ML and the everything-connected world of IoT with many billions of connected devices. Arm has developed a virtualization and accelerator strategy to address this, which we discuss in this white paper from our Architecture and Technology Group A layered... » read more

The Cyber-Industrial Revolution


Semiconductors won't save the world, but they certainly will help. In fact, it's arguable whether any significant progress will be made on such issues as global warming or future medical breakthroughs without the aid of ICs. After decades of struggling just to get chips to work at each new process node, the semiconductor industry is moving into a new phase. Processing is now almost ubiquitou... » read more

AI Inference Acceleration


Geoff Tate, CEO of Flex Logix, talks about considerations in choosing an AI inference accelerator, how that fits in with other processing elements on a chip, what tradeoffs are involved with reducing latency, and what considerations are the most important. » read more

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