Providing An AI Accelerator Ecosystem


A key design area for AI systems is the creation of Machine Learning (ML) algorithms that can be accelerated in hardware to meet power and performance goals. Teams designing these algorithms find out quickly that a traditional RTL design flow will no longer work if they want to meet their delivery schedules. The algorithms are often subject to frequent changes, the performance requirements may ... » read more

FPGA And System Designs Get To Market Faster Leveraging ASIC-Proven Analysis Tools


Increasing power constraints have resulted in finer-grained partitioning of designs into functional domains that can have clocks disabled or, more drastically, are powered down entirely. Systems are required to adaptively manage clocks to minimize switching power. Performance and area constraints have led to the abandonment of more conservative practices in favor of more aggressive designs; ... » read more

Moving Beyond Geometries: Context-Aware Verification Improves Design Quality And Reliability


Context-aware checks integrate physical and electrical information to evaluate a wide range of design conditions, from advanced design rule compliance, to circuit and reliability verification, to design optimization and finishing. Automated context-aware checking provides designers with actionable results that improve both debugging efficiency and verification precision. Introduction Many p... » read more

How Qualcomm Got Faster Signoff DRC Convergence


Qualcomm Incorporated designs and markets wireless telecommunications products and services that are the foundational technologies that others build upon, from mobile processors to embedded platforms, Bluetooth products, and cellular modems. In the fast-moving mobile phone market in which Qualcomm competes, companies who can get to market more quickly gain a strong competitive advantage, along ... » read more

The Time Is Now For A Common Model Interface


By Ahmed Ramadan and Greg Curtis Driven by consumer demand for “cheaper, faster, and better,” the semiconductor industry is continually pushing the migration to smaller process geometries. This continued scaling of complex designs into advanced process nodes is critical for applications ranging from high-performance computing to low-power mobile devices. In the past, products like sma... » read more

Verifying AI Designs Thoroughly And Quickly


You can’t turn around these days without seeing a reference to AI – even as a consumer. AI, or artificial intelligence, is hot due to the new machine-learning (ML) techniques that are evolving daily. It’s often cited as one of the critical markets for electronics purveyors, but it’s not really a market: it’s a technology. And it’s quietly – or not so quietly – moving into many, ... » read more

Five Rules For Correlating Rule-based And Field Solver Parasitic Extraction Results


There comes a time at every foundry and IC design company when it becomes necessary to run a correlation between a rule-based parasitic extraction (PEX) table and a field solver solution. And when that time arrives, there are a few (five, to be precise) details that will help ensure the correlation produces accurate results. But before we get to those, let’s do a quick refresh on PEX techniqu... » read more

Cracking The Mixed-Signal Verification Code


Rapid digitization in IoT, automotive, industrial, and communication industry segments are fueling semiconductor industry growth. This growth follows the “More than Moore” paradigm, where new design starts are spread across mature to advanced manufacturing nodes based on end-application targets. With this digitalization, data has become the most valuable resource. Mixed-signal designs pl... » read more

Improving Library Characterization Quality And Runtime With Machine Learning


By Megan Marsh and Wei-Lii Tan Today’s semiconductor applications, ranging from advanced sensory applications, IoT, edge computing devices, high performance computing, to dedicated A.I. chips, are constantly pushing the boundaries of attainable power, performance, and area (PPA) metrics. The race to design and ship these innovative devices has resulted in a focused, time-to-market-driven e... » read more

Next-Generation Liberty Verification And Debugging


Accurate library characterization is a crucial step for modern chip design and verification. For full-chip designs with billions of transistors, timing sign-off through simulation is unfeasible due to run-time and memory constraints. Instead, a scalable methodology using static timing analysis (STA) is required. This methodology uses the Liberty file to encapsulate library characteristics such ... » read more

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