CXL Picks Up Steam In Data Centers


CXL is gaining traction inside large data centers as a way of boosting utilization of different compute elements, such as memories and accelerators, while minimizing the need for additional racks of servers. But the standard is being extended and modified so quickly that it is difficult to keep up with all the changes, each of which needs to be verified and validated across a growing swath of h... » read more

Choosing The Correct High-Bandwidth Memory


The number of options for how to build high-performance chips is growing, but the choices for attached memory have barely budged. To achieve maximum performance in automotive, consumer, and hyperscale computing, the choices come down to one or more flavors of DRAM, and the biggest tradeoff is cost versus speed. DRAM remains an essential component in any of these architectures, despite years ... » read more

Achieve 10X Faster CDC Debug Leveraging Machine Learning


Over the years, system-on-chip (SoC) design sizes have crossed the billion-gate mark. Higher complexity has been introduced within semiconductor designs to deliver desired functionality. The number of asynchronous clock and reset domains is growing heavily within these complex SoCs, leading to millions of clock domain crossing (CDC) violations at the SoC level. Each of these violations ... » read more

Blog Review: Jan. 25


Cadence's Shyam Sharma shares some important design and verification considerations when working with DDR5 SDRAM and DDR5 DIMM-based memory subsystems, including reset and power on initialization, speed bin compliance, and refresh, RFM, and temperature requirements. Siemens EDA's Harry Foster examines trends in adoption of languages and libraries for IC and ASIC design, testbench creation, a... » read more

Blog Review: Jan. 18


Synopsys' Dana Neustadter, Sara Zafar Jafarzadeh, and Ruud Derwig argue that we are already at an inflection point for post-quantum security because devices and infrastructure systems with longer life cycles or communicating data that must be kept confidential for an extended period need to have a path towards quantum-safe solutions. Siemens EDA's Harry Foster looks at trends in adoption of ... » read more

EV Architectures Evolving For Communication, Connectivity


Electric vehicle architectures are rapidly evolving to accommodate multiple forms of connectivity, including in-vehicle, vehicle-to-vehicle, and vehicle-to-infrastructure communication. But so far, automotive OEMs have yet to come to a consensus on the winning technologies or the necessary standards — all of which will be necessary as cars become increasingly autonomous and increasingly inter... » read more

Selecting The Right RISC-V Core


With an increasing number of companies interested in devices based on the RISC-V ISA, and a growing number of cores, accelerators, and infrastructure components being made available, either commercially or in open-source form, end users face an increasingly difficult challenge of ensuring they make the best choices. Each user likely will have a set of needs and concerns that almost equals th... » read more

Week In Review: Design, Low Power


With funding from the Semiconductor Research Corporation, a group of 10 universities is banding together to create the Processing with Intelligent Storage and Memory center, or PRISM, led by University of California San Diego. The $50.5 million PRISM center will focus on four different themes: novel memory and storage devices and circuits; next generation architectures; systems and software; an... » read more

Design And Verification Methodologies Breaking Down


Tools, methodologies and flows that have been in place since the dawn of semiconductor design are breaking down, but this time there isn't a large pool of researchers coming up with potential solutions. The industry is on its own to formulate those ideas, and that will take a lot of cooperation between EDA companies, fabs, and designers, which has not been their strong point in the past. It ... » read more

Will Floating Point 8 Solve AI/ML Overhead?


While the media buzzes about the Turing Test-busting results of ChatGPT, engineers are focused on the hardware challenges of running large language models and other deep learning networks. High on the ML punch list is how to run models more efficiently using less power, especially in critical applications like self-driving vehicles where latency becomes a matter of life or death. AI already ... » read more

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