How 3D-IC Will Change Chip Design


Experts at the Table: Semiconductor Engineering sat down to discuss 3D-IC design challenges and the impact on stacked die on EDA tools and methodologies, with John Ferguson, senior director of product management at Siemens EDA; Mick Posner, senior product group director for chiplet at IP solutions in Cadence's Compute Solutions Group; Mo Faisal of Movellus; Chris Mueth, new opportunities busine... » read more

Identifying Divergences in HW Designs For High Performance Computing Workloads (LBNL et al.)


A new technical paper titled "Towards An Approach to Identify Divergences in Hardware Designs for HPC Workloads" was published by Lawrence Berkeley National Lab (LBNL), Foundation for Research and Technology - Hellas and University of Houston Clear Lake. Abstract "Developing efficient hardware accelerators for mathematical kernels used in scientific applications and machine learning has tra... » read more

Rethinking AI Infrastructure: The Rise Of PCIe Switches


When thinking of AI, images of futuristic robots or self-driving cars may come to mind. What might not come to mind are the unsung hardware component heroes that are quietly enabling such complex systems. Among these, PCI Express (PCIe) switches might seem to be a boring topic to write about, much less read. But here's the twist—they are nothing short of revolutionary when it comes to empower... » read more

Best Practices and HPC Strategies for Ansys Mechanical


Mechanical engineers face growing complexity in structural simulations. Modeling intricate geometries, capturing nonlinear material behaviors, and ensuring accurate boundary conditions often push traditional computing resources to their limits. These challenges can lead to longer solve times, convergence issues, and difficulties interpreting results — all of which slow innovation and impact p... » read more

Network Security For AI/HPC: From MACsec/IPsec Towards Ultra Ethernet


The modern world is increasingly a digital one that encompasses the realm of electronic devices, the internet, and online platforms. This world is constantly evolving, driven by technological advancements and shaped by how humans interact with digital technologies. The key element of a digital world is information that needs to be collected, stored and processed in vast quantities. For many ... » read more

UEC-CBFC: Credit-Based Flow Control For Next-Gen Ethernet In AI And HPC


For ages, Ethernet has been the backbone of networking — starting from simple web browsing to cloud computing, data centers, automobiles, and more. Ethernet has enabled countless innovations, and now, it's expanding to meet the demands of AI and HPC. As the world shifts toward these new technologies, new challenges are emerging. These include increased scale, higher bandwidth density, mult... » read more

Best Practices to Optimize Infrastructure for Simulations


Our Best Practices Guide equips you with expert strategies for leveraging high-performance computing (HPC) to maximize Ansys workload efficiency and overcome common challenges. As simulation complexity increases, a robust computing infrastructure is essential for rapid and large-scale modeling. Modern HPC systems provide: High-core-count CPUs for superior memory and compute perfo... » read more

UEC-LLR: The Future Of Loss Recovery In Ethernet For AI And HPC


As Artificial Intelligence (AI) and High-Performance Computing (HPC) systems become the backbone of modern data centers, they generate and consume a massive amount of data. Traditional Ethernet was not built for such high-bandwidth traffic. In HPCs and AI models, computations are distributed across the nodes and the data is shared in real time with low latency and lossless communication. As ... » read more

Mixed-Criticality SW Architectures for Centralized HPC Platforms in Software-Defined Vehicles (Daimler, TU Munich)


A new technical paper titled "Towards Mixed-Criticality Software Architectures for Centralized HPC Platforms in Software-Defined Vehicles: A Systematic Literature Review" was published by researchers at Daimler Truck AG and Technical University of Munich. Abstract "Centralized electrical/electronic architectures and High-Performance Computers (HPCs) are redefining automotive software develo... » read more

The Best DRAMs For Artificial Intelligence


Artificial intelligence (AI) involves intense computing and tons of data. The computing may be performed by CPUs, GPUs, or dedicated accelerators, and while the data travels through DRAM on its way to the processor, the best DRAM type for this purpose depends on the type of system that is performing the training or inference. The memory challenge facing engineering teams today is how to keep... » read more

← Older posts Newer posts →