Complete Migration Guide for Arm-Based Cloud Workloads


Learn in three steps how to migrate your self-managed workloads to Arm virtual machines for superior price performance and energy efficiency across a wide range of applications. This guide covers the most common scenarios and provides links to additional resources. You will learn how to: -Plan your transition, survey your software stack, and understand your software dependencies. -Test, ... » read more

Navigating EDA Vendor Cloud Options


Experts at the Table: Semiconductor Engineering sat down to discuss the challenges of cost-dependent cloud decisions, and how to navigate between different EDA vendor clouds options with Philip Steinke, fellow, CAD infrastructure and physical design at AMD; Mahesh Turaga, vice president of business development for cloud at Cadence Design Systems; Richard Ho, vice president hardware engineering ... » read more

Tradeoffs Between On-Premise And On-Cloud Design


Experts at the Table: Semiconductor Engineering sat down discuss how and why companies are dividing up work on-premise and in the cloud, and what to watch out for, with Philip Steinke, fellow, CAD infrastructure and physical design at AMD; Mahesh Turaga, vice president of business development for cloud at Cadence Design Systems; Richard Ho, vice president hardware engineering at Lightmatter; Cr... » read more

The Good And Bad Of Chip Design On Cloud


Semiconductor Engineering sat down to talk about how the shift toward chip design on cloud has sped up, whether the benefits of cloud are realized in chip design, and some of the most pressing challenges to chip design on cloud today, with Philip Steinke, fellow, CAD infrastructure and physical design at AMD; Mahesh Turaga, vice president of business development for cloud at Cadence Design Syst... » read more

A Hardware Accelerator Designed For The Homomorphic SEAL-Embedded Library


A technical paper titled "VLSI Design and FPGA Implementation of an NTT Hardware Accelerator for Homomorphic SEAL-Embedded Library" was published by researchers at University of Pisa. Abstract: "Homomorphic Encryption (HE) allows performing specific algebraic computations on encrypted data without the need for decryption. For this reason, HE is emerging as a strong privacy-preserving solution... » read more

Study On HPC And Cloud Computing For Engineering Simulation


In engineering applications, cloud computing can provide the on-demand compute power needed to run increasingly more complex simulations on a more frequent basis throughout the design cycle. Simulation plays an increasingly important role in the development of disruptive new technologies and systems such as autonomous vehicles, digital manufacturing, next-generation aircraft, and more. Rapid, h... » read more

New Age Solution For Data Integrity And Authenticity


With the advent of faster processing chips, the rate of data transfer has increased enormously. Be it artificial intelligence (AI), the Internet of Things (IOT), compute intensive analytics, or cloud computing, the demand for processing data in a fraction of a second is huge. Chips with superfast computing capabilities are used in applications where malfunctions can be life threatening, such as... » read more

Smart Manufacturing Makes Gains In Chip Industry


Lights out manufacturing is gaining steam across the semiconductor industry, accelerating productivity, improving quality, and reducing costs and environment impact. These benefits are the result of years of strategic investments in technologies like machine-to-machine communication, data analytics, and robotics to achieve higher levels of autonomy. Semiconductor factories have long depen... » read more

CXL-Based Memory Pooling System Meets Cloud Performance Goals And Significantly Reduces DRAM Cost


A technical paper titled "Pond: CXL-Based Memory Pooling Systems for Cloud Platforms" was published by researchers at Virginia Tech, Intel, Microsoft Azure, Google, and Stone Co. Abstract "Public cloud providers seek to meet stringent performance requirements and low hardware cost. A key driver of performance and cost is main memory. Memory pooling promises to improve DRAM utilization and t... » read more

Is AI Sustainable? Five Ways To Reduce Its Carbon Footprint


Forget adding bunny ears to your selfie; AI has long since grown up and begun tackling tough, environmental problems. Its data-crunching superpowers make it ideal for everything from ocean monitoring to climate change prediction modeling. But training AI models requires vast amounts of energy, so do the benefits outweigh the environmental cost? In short, is AI sustainable? Sustainable AI: fact... » read more

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