LLM-Aided AI Accelerator Design Automation (Georgia Tech)

A technical paper titled “GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models” was published by researchers at Georgia Institute of Technology. Abstract: "The remarkable capabilities and intricate nature of Artificial Intelligence (AI) have dramatically escalated the imperative for specialized AI accelerators. Nonetheless, designing these accele... » read more

Design Considerations and Recent Advancements in Chiplets (UC Berkeley/ Peking University)

A new technical paper titled "Automated Design of Chiplets" was published by researchers at UC Berkeley and Peking University. Abstract: "Chiplet-based designs have gained recognition as a promising alternative to monolithic SoCs due to their lower manufacturing costs, improved re-usability, and optimized technology specialization. Despite progress made in various related domains, the des... » read more

NeuroSim Simulator for Compute-in-Memory Hardware Accelerator: Validation and Benchmark

Abstract:   "Compute-in-memory (CIM) is an attractive solution to process the extensive workloads of multiply-and-accumulate (MAC) operations in deep neural network (DNN) hardware accelerators. A simulator with options of various mainstream and emerging memory technologies, architectures, and networks can be a great convenience for fast early-stage design space exploration of CIM hardw... » read more

EDA Grabs Bigger Slice Of Chip Market

EDA revenues have been a fairly constant percentage of semiconductor revenues, but that may change in 2019. With new customers creating demand, and some traditional customers shifting focus from advanced nodes, the various branches of the EDA tool industry may be where sticky technical problems are solved. IC manufacturing, packaging and development tools all are finding new ways to handle t... » read more

How To Improve Analog Design Reuse

Digital circuit design is largely automated today, but most analog components still are designed manually. This may change soon. As analog design grows increasingly complex and error-prone, design teams and tool vendors are focusing on how to automate as much of the design of analog circuits as possible. Analog design is notoriously difficult and varied. It can include anything from power ma... » read more

The “Last Simple Node” And the Internet of Things

Power, performance and size are key targets that will enable the expected explosion of the Internet of Things (IoT). Today, most observers see the path to that running directly through 16/14nm finFET and below for the node’s ability to manage power and size and boost integration. Geoff Lees isn’t your average observer. The vice president and general manager of Freescale’s microcon... » read more