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

The Race To Multi-Domain SoCs


K. Charles Janac, president and CEO of Arteris IP, sat down with Semiconductor Engineering to discuss the impact of automotive and AI on chip design. What follows are excerpts of that conversation. SE: What do you see as the biggest changes over the next 12 to 24 months? Janac: There are segments of the semiconductor market that are shrinking, such as DTV and simple IoT. Others are going ... » read more

AI Chips: NoC Interconnect IP Solves Three Design Challenges


New network-on-chip (NoC) interconnect IP is now available for artificial intelligence (AI) systems-on-chip (SoC). Arteris IP launched the fourth generation of the FlexNoC interconnect IP with a new optional AI package. The novel NoC interconnect technologies solves many data flow problems in today’s AI designs. Innovative features address the requirements of the next-generation of AI chips t... » read more

It’s All About The Data


The entire tech industry has changed in several fundamental ways over the past year due to the massive growth in data. Individually, those changes are significant. Taken together, those changes will have a massive impact on the chip industry for the foreseeable future. The obvious shift is the infusion of AI (and its subcategories, machine learning and deep learning) into different markets. ... » read more

FPGA Graduates To First-Tier Status


Robert Blake, president and CEO of Achronix, sat down with Semiconductor Engineering to talk about fundamental shifts in compute architectures and why AI, machine learning and various vertical applications are driving demand for discrete and embedded FPGAs. SE: What’s changing in the FPGA market? Blake: Our big focus is developing the next-generation architecture. We started this projec... » read more

AI Chip Architectures Race To The Edge


As machine-learning apps start showing up in endpoint devices and along the network edge of the IoT, the accelerators that make AI possible may look more like FPGA and SoC modules than current data-center-bound chips from Intel or Nvidia. Artificial intelligence and machine learning need powerful chips for computing answers (inference) from large data sets (training). Most AI chips—both tr... » read more

Power/Performance Bits: Nov. 20


In-memory compute accelerator Engineers at Princeton University built a programmable chip that features an in-memory computing accelerator. Targeted at deep learning inferencing, the chip aims to reduce the bottleneck between memory and compute in traditional architectures. The team's key to performing compute in memory was using capacitors rather than transistors. The capacitors were paire... » read more

Accelerators Everywhere. Now What?


It's a good time to be a data scientist, but it's about to become much more challenging for software and hardware engineers. Understanding the different types and how data flows is the next path forward in system design. As the number of sources of data rises, creating exponential spikes in the volume of data, entirely new approaches to computing will be required. The problem is understandi... » read more

What Makes A Good AI Accelerator


The rapid growth and dynamic nature of AI and machine learning algorithms is sparking a rush to develop accelerators that can be optimized for different types of data. Where one general-purpose processor was considered sufficient in the past, there are now dozens vying for a slice of the market. As with any optimized system, architecting an accelerator — which is now the main processing en... » read more

The Building Blocks Of Future Compute


Eric Hennenhoefer, vice president of research at Arm, sat down with Semiconductor Engineering to talk about privacy, security, high-performance computing, accelerators, and Arm’s research. What follows are excerpts of that conversation. SE: Privacy, cybersecurity, silicon photonics, quantum computing are all hot topics today. What do you find really interesting with these emerging areas? ... » read more

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