tag: data movement

Efficiency Defines The Future Of Data Movement
By Andy Nightingale - 30 Oct, 2025 - Comments: 0

For decades, chip performance was measured by how much raw compute could be packed onto a die. However, that equation has changed. Moving data across a system-on-chip (SoC) now consumes more energy than the computations it performs. Efficient data movement has become a significant challenge for next-generation SoC designs. AI workloads are multiplying, hyperscale data centers are approaching po... » read more

In-SRAM Computing Architecture Tailored For Cryptographic Acceleration Within MCUs (UC Riverside)
By Technical Paper Link - 06 Oct, 2025 - Comments: 0

A new technical paper titled "CryptoSRAM: Enabling High-Throughput Cryptography on MCUs via In-SRAM Computing" was published by researchers at University of California, Riverside. Abstract "Secure communication is a critical requirement for Internet of Things (IoT) devices, which are often based on Microcontroller Units (MCUs). Current cryptographic solutions, which rely on software librari... » read more

The Future Of SoC Design Is Data Movement
By Andy Nightingale - 25 Sep, 2025 - Comments: 0

The semiconductor industry is experiencing rapid advances in chiplet adoption, high-bandwidth memory, Compute Express Link (CXL) fabrics, and automotive zonal architectures. As we move into the second half of 2025, the only sustainable path forward is a layered, physically aware, and automated interconnect methodology that can keep pace with escalating complexity. This article is Part Two of... » read more

Inside Chips Podcast: Data Movement In The AI Age
By Ed Sperling - 12 Sep, 2025 - Comments: 0

AI is all about data movement — lots of it. The key is to move data as little as possible, and when it is moved, to do it efficiently, securely, and blindingly fast. Semiconductor Engineering talks with Arteris CEO Charlie Janac in this one-on-one discussion about the impact of AI on networks on chip and what will change going forward. To listen to the podcast, click here. » read more

Speeding Up Die-To-Die Interconnectivity
By Ed Sperling - 14 May, 2025 - Comments: 0

Disaggregating SoCs, coupled with the need to process more data faster, is forcing engineering teams to rethink the electronic plumbing in a system. Wires don't shrink, and just cramming more wires or thicker wires into a package are not viable solutions. Kevin Donnelly, vice president of strategic marketing at Eliyan, talks about how to speed up data movement between chiplets with bi-direction... » read more

Data Movement Is the Energy Bottleneck of Today’s SoCs
By Andy Nightingale - 24 Apr, 2025 - Comments: 0

In today’s AI-focused semiconductor landscape, raw compute performance alone no longer defines the effectiveness of a system-on-chip (SoC). The efficiency of data movement across the chip has become just as important. Whether designed for data centers or edge AI devices, SoCs must now prioritize data transport as a core architectural consideration. Moving data efficiently across the silicon f... » read more

What’s Changing In SerDes
By Ed Sperling - 16 Apr, 2025 - Comments: 0

SerDes is all about pushing data through the smallest number of physical channels. But when it comes to AI, more data needs to be moved, and it has to be moved more quickly. Todd Bermensolo, product marketing manager at Alphawave Semi, talks about the impact of faster data movement on the transmitter (more power) and on the receiver (gain and advanced equalization), how to ensure signal inte... » read more

Lines Blurring Between Supercomputing And HPC
By Ann Mutschler - 27 Feb, 2025 - Comments: 1

Supercomputers and high-performance computers are becoming increasingly difficult to differentiate due to the proliferation of AI, which is driving huge performance increases in commercial and scientific applications and raising similar challenges for both. While the goals of supercomputing and high-performance computing (HPC) have always been similar — blazing fast processing — the mark... » read more

Scaling Performance In AI Systems
By Ed Sperling - 11 Nov, 2024 - Comments: 0

Improving performance in AI designs involves the usual tradeoffs in power and performance, but achieving a good balance is becoming much more challenging. There is more data to process, new heterogeneous architectures to contend with, and much higher utilization rates. Andy Nightingale, vice president of product management and marketing at Arteris, talks about where the bottlenecks are, how to ... » read more

Workload-Specific Data Movements Across AI Workloads in Multi-Chiplet AI Accelerators
By Technical Paper Link - 04 Nov, 2024 - Comments: 0

A new technical paper titled "Communication Characterization of AI Workloads for Large-scale Multi-chiplet Accelerators" was published by researchers at Universitat Politecnica de Catalunya. Abstract "Next-generation artificial intelligence (AI) workloads are posing challenges of scalability and robustness in terms of execution time due to their intrinsic evolving data-intensive characteris... » read more

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