AI’s Rapid Growth: The Crucial Role Of High Bandwidth Memory


System efficiency is dictated by the performance of crucial components. For AI hardware systems, memory subsystem performance is the single most crucial component. In this blog post, we will provide an overview of the AI model landscape and the impact of HBM memory subsystems on effective system performance. AI models have grown from a few billions of parameters from the early '90s to today�... » read more

Fast Monte Carlo Simulations For Timing Variation Analysis


Process variations and device mismatches profoundly affect the latest ultra-small geometrical processes. Complexity creates additional factors that impact device manufacturing variability, which in turn impact overall yield. Monte Carlo (MC) simulations use repeated random sampling to relate process variations to circuit performance and functionality, thus determining how they impact yield. How... » read more

Introduction Of High Bandwidth Embedded USB2v2 (eUSB2v2) Standard


Universal Serial Bus (USB) technology is the most popular connector in every computing device, but when it comes to embedded applications, where only a specific device function may be required, the architectural philosophy of the USB technology becomes inefficient. One example could be USB cameras. With increasing user expectations of camera resolution and frame rates, the bandwidth constrai... » read more

Outlook 2025: Embracing Chiplets


The semiconductor industry is rapidly evolving, and as we look towards 2025, chiplets are at the forefront of this transformation. The shift from traditional monolithic system-on-chip (SoC) designs to chiplet-based architectures is gaining momentum, driven by the need to meet ever-increasing computing demands. This evolution is not just a trend; it represents a fundamental change in how we appr... » read more

Locking When Emulating Xtensa LX Multi-Core On A Xilinx FPGA


Today's high-performance computing systems often require the designer to instantiate multiple CPU or DSP cores in their subsystem. However, the performance gained by using multiple CPUs comes with additional programming complexity, especially when accessing shared memory data structures and hardware peripherals. CPU cores need to access shared data in an atomic fashion in a multi-core environme... » read more

DDR5 UDIMM Evolution To Clock Buffered DIMMs (CUDIMM)


DDR5 is the latest generation of PCDDR memory that is used in a wide range of application like data centers, Laptops and personal computers, autonomous driving systems, servers, cloud computing, and gaming are now increasingly being used for AI applications with advances in memory bandwidth and density to allow DDR5 DIMMs (Dual Inline Memory Modules) to support densities higher then 256 GB per ... » read more

GDDR7: The Ideal Memory Solution In AI Inference


The generative AI market is experiencing rapid growth, driven by the increasing parameter size of Large Language Models (LLMs). This growth is pushing the boundaries of performance requirements for training hardware within data centers. For an in-depth look at this, consider the insights provided in "HBM3E: All About Bandwidth". Once trained, these models are deployed across a diverse range of... » read more

Debugging SystemVerilog Constraint Randomization: A Comprehensive Guide


SystemVerilog constraint randomization is a powerful methodology for generating realistic and diverse test scenarios in the realm of hardware design verification. However, like any complex methodology, it can sometimes be challenging to debug when an unexpected issue arises. In this article, we will explore common debug techniques and strategies to help you effectively troubleshoot your SystemV... » read more

Navigating The Future Of EDA


The landscape of electronic design automation (EDA) is undergoing a monumental transformation. The catalysts? Artificial Intelligence (AI) and Machine Learning (ML). These technological marvels are not just reshaping how we approach design and verification in electronics; they are redefining the possibilities within the field. Our latest podcast episode delved deep into this topic, uncovering t... » read more

AI-Powered Data Analytics To Revolutionize The Semiconductor Industry


In the age where data reigns supreme, the semiconductor industry stands on the cusp of revolutionary change, redefining complexity and productivity through a lens crafted by artificial intelligence (AI). The intersection of AI and the semiconductor industry is not merely an emerging trend—it is the fulcrum upon which the next generation of technological innovation balances. Semiconductor comp... » read more

← Older posts