Arm Total Compute: Engineering For Tomorrow’s Workloads


As consumers seek richer and more immersive experiences from their devices, the way compute systems are engineered must continually evolve to keep up. Arm Total Compute takes a solution-focused approach to system-on-chip design, moving beyond individual IP elements to design and optimize the system as a whole to enable more digital immersion experiences. Not only does this white paper dis... » read more

Dealing With Performance Bottlenecks In SoCs


A surge in the amount of data that SoCs need to process is bogging down performance, and while the processors themselves can handle that influx, memory and communication bandwidth are straining. The question now is what can be done about it. The gap between memory and CPU bandwidth — the so-called memory wall — is well documented and definitely not a new problem. But it has not gone away... » read more

Overcoming Signal, Power, And Thermal Challenges Implementing GDDR6 Interfaces


Graphics processing units (GPUs) and graphics double data rate (GDDR) memory interfaces are essential to graphics cards, game consoles, high-performance computing (HPC), and machine learning applications. These interfaces enable data transfer speeds of over 665GB per second today and will continue to support well over a terabyte per second (TBps) in next-generation GDDR interfaces. Signal integ... » read more

Radar Systems


Combined with advances in phased-array antennas and integration technologies, radars are moving beyond military/aerospace markets to address a host of commercial applications. This white paper showcases how the Cadence AWR Design Environment platform provides designers with a host of modeling and simulation technologies needed to meet the challenges of all types of radar system design. Click h... » read more

Pushing The Limits Of Hardware-Assisted Verification


As semiconductor complexity continues to escalate, so does the reliance on hardware-assisted simulation, emulation, and prototyping. Since chip design first began, engineers have complained their design goals exceeded the capabilities of the tools. This is especially evident in verification and debug, which continue to dominate the design cycle. Big-iron tooling has enabled design teams to k... » read more

One-On-One: Lip-Bu Tan


Lip-Bu Tan, CEO of Cadence, sat down with Semiconductor Engineering to talk about the impact of massive increases in data across a variety of industries, the growing need for computational software, and the potential implications of U.S.-China relations. What follows are excerpts of that discussion. SE: What do you see as the biggest change for the chip industry? Tan: We're in our fifth g... » read more

A New Method For Electrical Systems Design


Electrical system complexity is reaching a tipping point across industries, from modern passenger vehicles to sophisticated industrial machines that can now contain nearly 5,000 wiring harnesses. The electrical systems of these machines contain multiple networks, thousands of sensors and actuators, miles of wiring and tens of thousands of discrete components (figure 1). Designing these complex ... » read more

System Design For Next-Generation Hyperscale Data Centers


As we are in the process of hyperscaling the large volumes of data that our devices and sensors create, processing this data along the way at far and near edges, and transmitting the hard-to-imagine volumes of data through networks to data centers for processing, the data center itself is undergoing a fundamental shift with new networking and architecture co-design opportunities. In a previous ... » read more

Intelligent System Design


Electronics technology is proliferating to new, creative applications and appearing in our everyday lives. To compete, system companies are increasingly designing their own semiconductor chips, and semiconductor companies are delivering software stacks, to enable substantial differentiation of their products. This trend started in mobile devices and is now moving into cloud computing, automotiv... » read more

Applications, Ecosystems And System Complexity Will Be Key Verification Drivers For 2020


In my predictions blog last year, I focused on verification throughput and its expected growth in 2019. The four areas I predicted we’d see growth in during 2019 were scalable performance, unbound capacity including cloud enablement, smart bug hunting and multi-level abstractions. In 2018, the five key verification drivers that I identified were security, safety, application specificity, proc... » read more

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