Choosing Which Tasks To Optimize In Chips


The optimization of one or more tasks is an important aspect of every SoC created, but with so many options now on the table it is often unclear which is best. Just a few years ago, most people were happy to buy processors from the likes of Intel, AMD and Nvidia, and IP cores from Arm. Some even wanted the extensibility that came from IP cores like Tensilica and ARC. Then, in 2018, John Henn... » read more

Using GPUs In Semiconductor Manufacturing


Massive simulation and curvilinear shapes are forcing the photomask industry to rethink what types of chips work best. Aki Fujimura, CEO of D2S, talks about what happens when shapes printed on a mask are closer to what actually gets printed, how GPUs can be used to accelerate CPUs in single instruction/multiple data (SIMD) operations, and why pixel data is different from other data. » read more

Increasing Performance With Data Acceleration


Increasing demand for functions that require a relatively high level of acceleration per unit of data is providing a foothold for in-line accelerator cards, which could mean new opportunities for some vendors and a potential threat for others. For years, either CPUs, or CPUs with FPGA accelerators, met most market needs. But the rapid increase in the volume of data everywhere, coupled with t... » read more

Chiplets Enter The Supercomputer Race


Several entities from various nations are racing each other to deliver and deploy chiplet-based exascale supercomputers, a new class of systems that are 1,000x faster than today’s supercomputers. The latest exascale supercomputer CPU and GPU designs mix and match complex dies in advanced packages, adding a new level of flexibility and customization for supercomputers. For years, various na... » read more

Assuring Reliable Processor Performance At Scale


In today’s data center environment, resilience is key. Cloud providers are built on as-a-service business models, where uptime is critical to ensure their customers’ business continuity. Reputation and competitiveness require service at extremely high performance, low power, and increasing functionality, with zero tolerance for unplanned downtime or errors. If you’re a hyperscaler, o... » read more

Data Center Architectures In Flux


Data center architectures are becoming increasingly customized and heterogeneous, shifting from processors made by a single vendor to a mix of processors and accelerators made by multiple vendors — including system companies' own design teams. Hyperscaler data centers have been migrating toward increasingly heterogeneous architectures for the past half decade or so, spurred by the rising c... » read more

Photomask Challenges At 3nm And Beyond


Experts at the Table: Semiconductor Engineering sat down to discuss optical and EUV photomasks issues, as well as the challenges facing the mask business, with Naoya Hayashi, research fellow at DNP; Peter Buck, director of MPC & mask defect management at Siemens Digital Industries Software; Bryan Kasprowicz, senior director of technical strategy at Hoya; and Aki Fujimura, CEO of D2S. What f... » read more

The High But Often Unnecessary Cost Of Coherence


Cache coherency, a common technique for improving performance in chips, is becoming less useful as general-purpose processors are supplemented with, and sometimes supplanted by, highly specialized accelerators and other processing elements. While cache coherency won't disappear anytime soon, it is increasingly being viewed as a luxury necessary to preserve a long-standing programming paradig... » read more

Gaps In The AI Debug Process


When an AI algorithm is deployed in the field and gives an unexpected result, it's often not clear whether that result is correct. So what happened? Was it wrong? And if so, what caused the error? These are often not simple questions to answer. Moreover, as with all verification problems, the only way to get to the root cause is to break the problem down into manageable pieces. The semico... » read more

What’s Missing For Designing Chips At The System Level


Semiconductor Engineering sat down to talk about design challenges in advanced packages and nodes with John Lee, vice president and general manager for semiconductors at Ansys; Shankar Krishnamoorthy, general manager of Synopsys' Design Group; Simon Burke, distinguished engineer at Xilinx; and Andrew Kahng, professor of CSE and ECE at UC San Diego. This discussion was held at the Ansys IDEAS co... » read more

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