tag: compute-in-memory

Power Delivery Challenges in 3D HI CIM Architectures for AI Accelerators (Georgia Tech)
By Technical Paper Link - 07 Feb, 2025 - Comments: 0

A new technical paper titled "Co-Optimization of Power Delivery Network Design for 3D Heterogeneous Integration of RRAM-based Compute In-Memory Accelerators" was published by researchers at Georgia Tech. Abstract: "3D heterogeneous integration (3D HI) offers promising solutions for incorporating substantial embedded memory into cutting-edge analog compute-in-memory (CIM) AI accelerators, ad... » read more

Design Space for the Device-Circuit Codesign of NVM-Based CIM Accelerators (TSMC)
By Technical Paper Link - 15 Jan, 2025 - Comments: 0

A new technical paper/mini-review titled "Assessing Design Space for the Device-Circuit Codesign of Nonvolatile Memory-Based Compute-in-Memory Accelerators" was published by researchers at TSMC and National Tsing Hua University. Abstract "Unprecedented penetration of artificial intelligence (AI) algorithms has brought about rapid innovations in electronic hardware, including new memory devi... » read more

Recent Advances and Challenges in Processing-in-DRAM (ETH Zurich)
By Technical Paper Link - 30 Dec, 2024 - Comments: 0

A new technical paper titled "Memory-Centric Computing: Recent Advances in Processing-in-DRAM" was published by researchers at ETH Zurich. Abstract "Memory-centric computing aims to enable computation capability in and near all places where data is generated and stored. As such, it can greatly reduce the large negative performance and energy impact of data access and data movement, by 1) ... » read more

2D Ferroelectric Field-Effect Transistors (Penn State, U. of Minnesota)
By Technical Paper Link - 30 Dec, 2024 - Comments: 0

A new technical paper titled "Multifunctional 2D FETs exploiting incipient ferroelectricity in freestanding SrTiO3 nanomembranes at sub-ambient temperatures" was published by researchers at Penn State University and University of Minnesota. Abstract "Incipient ferroelectricity bridges traditional dielectrics and true ferroelectrics, enabling advanced electronic and memory devices. Firstly... » read more

Is In-Memory Compute Still Alive?
By Bryon Moyer - 12 Dec, 2024 - Comments: 1

In-memory computing (IMC) has had a rough go, with the most visible attempt at commercialization falling short. And while some companies have pivoted to digital and others have outright abandoned the technology, developers are still trying to make analog IMC a success. There is disagreement regarding the benefits of IMC (also called compute-in-memory, or CIM). Some say it’s all about reduc... » read more

Energy Analysis: 2D and 3D Architectures with Systolic Arrays and CIM (Cornell)
By Technical Paper Link - 22 Oct, 2024 - Comments: 0

A new technical paper titled "Energy-/Carbon-Aware Evaluation and Optimization of 3D IC Architecture with Digital Compute-in-Memory Designs" was published by researchers at Cornell University. "In this paper, we investigate digital CIM (DCIM) macros and various 3D architectures to find the opportunity of increased energy efficiency compared to 2D structures. Moreover, we also investigated th... » read more

In Memory, At Memory, Near Memory: What Would Goldilocks Choose?
By Steve Roddy - 17 Oct, 2024 - Comments: 0

The children’s fairy tale of ‘Goldilocks and the Three Bears’ describes the adventures of Goldi as she tries to choose among three choices for bedding, chairs, and bowls of porridge. One meal is “too hot,” the other “too cold,” and finally one is “just right.” If Goldi were faced with making architecture choices for AI processing in modern edge/device SoCs, she would also face... » read more

Hardware Acceleration Approach for KAN Via Algorithm-Hardware Co-Design
By Technical Paper Link - 26 Sep, 2024 - Comments: 2

A new technical paper titled "Hardware Acceleration of Kolmogorov-Arnold Network (KAN) for Lightweight Edge Inference" was published by researchers at Georgia Tech, TSMC and National Tsing Hua University. Abstract "Recently, a novel model named Kolmogorov-Arnold Networks (KAN) has been proposed with the potential to achieve the functionality of traditional deep neural networks (DNNs) using ... » read more

Mixed Signal In-Memory Computing With Massively Parallel Gradient Calculations of High-Degree Polynomials
By Technical Paper Link - 19 Sep, 2024 - Comments: 0

A new technical paper titled "Computing high-degree polynomial gradients in memory" was published by researchers at UCSB, HP Labs, Forschungszentrum Juelich GmbH, and RWTH Aachen University. Abstract "Specialized function gradient computing hardware could greatly improve the performance of state-of-the-art optimization algorithms. Prior work on such hardware, performed in the context of Isi... » read more

Intel Vs. Samsung Vs. TSMC
By Ed Sperling - 15 Jul, 2024 - Comments: 3

The three leading-edge foundries — Intel, Samsung, and TSMC — have started filling in some key pieces in their roadmaps, adding aggressive delivery dates for future generations of chip technology and setting the stage for significant improvements in performance with faster delivery time for custom designs. Unlike in the past, when a single industry roadmap dictated how to get to the next... » read more

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