tag: in-memory compute

Flash Getting Stacked High-Bandwidth Version
By Bryon Moyer - 14 May, 2026 - Comments: 1

Key takeaways: A new HBF 3D flash stack is similar to HBM for use in AI processing. HBF capacity will be much higher, allowing static storage of AI model weights, with optimized read speed. Samples are due out later this year, with accelerators featuring it coming out next year. AI inference using modern models requires billions of parameters, and moving them to where they c... » read more

Research Bits: Apr. 21
By Jesse Allen - 21 Apr, 2026 - Comments: 0

Compute-in-memory state space models Researchers from the University of Michigan mapped complex state space models directly onto a compute-in-memory architecture in an example of hardware-software co-design for edge AI. "Compute-in-memory systems offer very high energy efficiency and throughput, but they are rigid and not optimal for convolution and transformer networks. In this study, we s... » read more

Research Bits: Feb. 24
By Jesse Allen - 24 Feb, 2026 - Comments: 0

Growing patterned diamond Researchers from Rice University developed a bottom-up microwave plasma chemical vapor deposition method for growing patterned diamond surfaces that could help decrease operating temperatures in electronics by 23 degrees Celsius. The team used two techniques for controlling seed crystal placement. Photolithography was used for small, detailed patterns. To scale up ... » read more

Research Bits: Jan. 27
By Jesse Allen - 27 Jan, 2026 - Comments: 0

Analog in-memory compute Researchers from Politecnico di Milano, Peking University, and Hewlett Packard Labs developed a Closed-Loop In-Memory Computing (CL-IMC) chip to reduce data movement between memory and processor. The fully integrated analog accelerator uses two 64×64 arrays of programmable SRAM cells along with integrated components including operational amplifiers and analog-to-di... » read more

Why In-Memory Computation Is So Important For Edge AI
By Katherine Derbyshire - 23 Oct, 2025 - Comments: 1

In popular media, “AI” usually means large language models running in expensive, power-hungry data centers. For many applications, though, smaller models running on local hardware are a much better fit. Autonomous vehicles need to respond in real-time, without data transmission delays. Medical and industrial applications often depend on sensitive data that cannot be shared with third par... » read more

Research Bits: July 29
By Jesse Allen - 29 Jul, 2025 - Comments: 0

Sort-in-memory Researchers from Peking University and the Chinese Institute for Brain Research developed a sort-in-memory hardware system based on memristors that is tailored for complex, nonlinear sorting tasks. The comparator-free processing-in-memory architecture is built on a one-transistor–one-resistor (1T1R) memristor array, using a Digit Read mechanism that replaces traditional com... » read more

Research Bits: Jan. 28
By Jesse Allen - 28 Jan, 2025 - Comments: 0

Optical memory unit Researchers from Nokia Bell Labs developed a new type of optical memory called a programmable photonic latch that enables temporary data storage in optical processing systems. It is modeled after a set-reset latch. The integrated programmable photonic latch is based on optical universal logic gates using silicon photonic micro-ring modulators and can be implemented in co... » 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

Research Bits: Nov. 5
By Jesse Allen - 05 Nov, 2024 - Comments: 0

Optical in-memory computing Researchers from the University of Pittsburgh, University of California Santa Barbara, University of Cagliari, and Institute of Science Tokyo propose a resonance-based photonic architecture which leverages the non-reciprocal phase shift in magneto-optical materials to implement photonic in-memory computing. “The materials we use in developing these cells have b... » 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

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