Is Your Voltage Drop Flow Obsolete?


Voltage drop at advanced nodes is a deadly serious problem that has become unmanageable with the methodologies used by most chip designers today. This article will cover the reasons why power integrity has risen to a top-of-mind concern and why it has become almost impossible for today’s EDA tools to measure and fix it. We will then look at some radical methodology rethinking that is needed t... » read more

Flipping Processor Design On Its Head


AI is changing processor design in fundamental ways, combining customized processing elements for specific AI workloads with more traditional processors for other tasks. But the tradeoffs are increasingly confusing, complex, and challenging to manage. For example, workloads can change faster than the time it takes to churn out customized designs. In addition, the AI-specific processes may ex... » read more

An Entangled Heterarchy


For decades, a form of structural hierarchy has been the principal means of handling complexity in chip design. It's not always perfect, and there is no ideal way in which to divide and conquer because that would need to focus on the analysis being performed. In fact, most systems can be viewed from a variety of different hierarchies, equally correct, and together forming a heterarchy. The e... » read more

Damage Detection For Reliable Microelectronics


Over the past few years, the reliability and safety of electronic systems have become increasingly more important. Ongoing digitalization has made these systems an integral part of many items of daily use. This means that failures are becoming more and more critical as they can cause considerable disruption – even when they occur in consumer electronics. Today, electronics are also indispensa... » read more

Neural Network Model Quantization On Mobile


The general definition of quantization states that it is the process of mapping continuous infinite values to a smaller set of discrete finite values. In this blog, we will talk about quantization in the context of neural network (NN) models, as the process of reducing the precision of the weights, biases, and activations. Moving from floating-point representations to low-precision fixed intege... » read more

SRAM In AI: The Future Of Memory


Experts at the Table — Part 1: Semiconductor Engineering sat down to talk about AI and the latest issues in SRAM with Tony Chan Carusone, CTO at Alphawave Semi; Steve Roddy, chief marketing officer at Quadric; and Jongsin Yun, memory technologist at Siemens EDA. What follows are excerpts of that conversation. Part two of this conversation can be found here and part three is here. [L-R]: ... » read more

Reduce Data Center Over-Provisioning And Stranded Capacity For Sustainability


In the ever-evolving landscape of data centers, the issue of stranded capacity has become a significant concern for operators. Stranded capacity refers to the underutilization of resources. It is best referred to as the elephant in the data center due to the enormity of its impact. The losses are even more significant for the enterprise data center categories at above 40%. This outcome n... » read more

The Power Of HBM3 Memory For AI Training Hardware


AI training data sets are constantly growing, driving the need for hardware accelerators capable of handling terabyte-scale bandwidth. Among the array of memory technologies available, High Bandwidth Memory (HBM) has emerged as the memory of choice for AI training hardware, with the most recent generation, HBM3, delivering unrivaled memory bandwidth. Let’s take a closer look at this important... » read more

RTL Optimization Best Practices Help To Achieve Power Goals And Identify Reliability Issues Earlier


Designers face enormous challenges for low-power designs. Whether it is IoT at the edge, AI in the datacenter, robotics or ADAS, the demand for increased functionality and higher performance in SoCs is rapidly stretching power budgets to their breaking point. Power must be considered at every stage of chip design. Waiting to address power until late in the design cycle – post-netlist or durin... » read more

Placement And CTS Techniques For High-Performance Computing Designs


This paper discusses the challenges of designing high-performance computing (HPC) integrated circuits (ICs) to achieve maximum performance. The design process for HPC ICs has become more complex with each new process technology, requiring new architectures and transistors. We highlight how the Siemens Aprisa digital implementation solution can solve placement and clock tree challenges in HPC de... » read more

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