tag: analog

Power Semis Usher In The Silicon Carbide Era
By Laura Peters - 21 Aug, 2023 - Comments: 1

Silicon carbide production is ramping quickly, driven by end market demand in automotive and price parity with silicon. Many thousands of power semiconductor modules already are in use in electric vehicles for on-board charging, traction inversion, and DC-to-DC conversion. Today, most of those are fabricated using silicon-based IGBTs. A shift to silicon carbide-based MOSFETs doubles the powe... » read more

Analog Circuits Enabling Learning in Mixed-Signal Neuromorphic SNNs, With Tristate Stability and Weight Discretization Circuits
By Technical Paper Link - 02 Aug, 2023 - Comments: 0

A technical paper titled “Neuromorphic analog circuits for robust on-chip always-on learning in spiking neural networks” was published by researchers at University of Zurich and ETH Zurich. Abstract: "Mixed-signal neuromorphic systems represent a promising solution for solving extreme-edge computing tasks without relying on external computing resources. Their spiking neural network circui... » read more

Analog IP Reuse
By Benjamin Prautsch - 20 Jul, 2023 - Comments: 0

Analog integrated circuit IP is essential to how microelectronic circuits and systems interact with the environment. It enables things like signal conversion, stable power supply, and communication in state-of-the-art devices. However, designing these critical components – even though they are often a small part of complex chips – is very costly and risk-prone. And in today’s analog field... » read more

Comparing Analog and Digital SRAM In-Memory Computing Architectures (KU Leuven)
By Technical Paper Link - 01 Jun, 2023 - Comments: 0

A technical paper titled "Benchmarking and modeling of analog and digital SRAM in-memory computing architectures" was published by researchers at KU Leuven. Abstract: "In-memory-computing is emerging as an efficient hardware paradigm for deep neural network accelerators at the edge, enabling to break the memory wall and exploit massive computational parallelism. Two design models have surge... » read more

Optimizing Projected PCM for Analog Computing-In-Memory Inferencing (IBM)
By Technical Paper Link - 22 May, 2023 - Comments: 0

A new technical paper titled "Optimization of Projected Phase Change Memory for Analog In-Memory Computing Inference" was published by researchers at IBM Research. "A systematic study of the electrical properties-including resistance values, memory window, resistance drift, read noise, and their impact on the accuracy of large neural networks of various types and with tens of millions of wei... » read more

Performance Of Analog In-Memory Computing On Imaging Problems
By Technical Paper Link - 09 May, 2023 - Comments: 0

A technical paper titled "Accelerating AI Using Next-Generation Hardware: Possibilities and Challenges With Analog In-Memory Computing" was published by researchers at Lund University and Ericsson Research. Abstract "Future generations of computing systems need to continue increasing processing speed and energy efficiency in order to meet the growing workload requirements under stringent en... » read more

Can Compute-In-Memory Bring New Benefits To Artificial Intelligence Inference?
By Paul Karazuba - 27 Apr, 2023 - Comments: 0

Compute-in-memory (CIM) is not necessarily an Artificial Intelligence (AI) solution; rather, it is a memory management solution. CIM could bring advantages to AI processing by speeding up the multiplication operation at the heart of AI model execution. However, for that to be successful, an AI processing system would need to be explicitly architected to use CIM. The change would entail a shift ... » read more

A Hierarchical And Tractable Mixed-Signal Verification Methodology For First-Generation Analog AI Processors
By Siemens EDA - 22 Mar, 2023 - Comments: 0

Artificial intelligence (AI) is now the key driving force behind advances in information technology, big data and the internet of things (IoT). It is a technology that is developing at a rapid pace, particularly when it comes to the field of deep learning. Researchers are continually creating new variants of deep learning that expand the capabilities of machine learning. But building systems th... » read more

Learning The AMS Circuit Representation From Layout Positions (UT Austin/ NVIDIA)
By Technical Paper Link - 15 Mar, 2023 - Comments: 0

A recent technical paper titled "TAG: Learning Circuit Spatial Embedding From Layouts" was published by researchers at UT Austin and NVIDIA. Abstract "Analog and mixed-signal (AMS) circuit designs still rely on human design expertise. Machine learning has been assisting circuit design automation by replacing human experience with artificial intelligence. This paper presents TAG, a new parad... » read more

Co-Design View of Cross-Bar Based Compute-In-Memory
By Technical Paper Link - 15 Mar, 2023 - Comments: 0

A new review paper titled "Compute in-Memory with Non-Volatile Elements for Neural Networks: A Review from a Co-Design Perspective" was published by researchers at Argonne National Lab, Purdue University, and Indian Institute of Technology Madras. "With an over-arching co-design viewpoint, this review assesses the use of cross-bar based CIM for neural networks, connecting the material proper... » read more

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