A new technical paper titled “Toward Single-Cell Multiple-Strategy Processing Shift Register Powered by Phase-Change Memory Materials” was published by researchers at Singapore University of ...

“Many modern workloads such as neural network inference and graph processing are fundamentally memory-bound. For such workloads, data movement between memory and CPU cores imposes a significant ...

Researchers at the Politecnico di Milano have developed an analog in-memory computing chip that performs computations ...

Samsung claims its new HBM-PIM power-in-memory architecture will more than double system performance and reduce energy consumption by over 70%. A few months back, Samsung and Xilinx co-introduced an ...

PALO ALTO — Untether AI, an at-memory computation company for artificial intelligence (AI) workloads, today announced at the HOT CHIPS 2022 conference its next-generation architecture for accelerating ...

This article is the third in an editorial series that will provide direction for enterprise thought leaders on ways of leveraging in-memory computing to analyze data faster, improve the quality of ...

Non-volatile memory for weight storage on-chip reduces data movements and allows for low power, low latency edge AI inferencing in high radiation environments ...

The first physical conference I attended this year was the 2021 OCP Summit in San Jose, CA. There were exciting developments around software defined storage, NVMe-oF, CXL and computational storage. We ...

Programming parallel processors isn't easy, especially when the number of processing elements is large. No single technique applies to all situations. But in its Storm-1 architecture, Stream ...