Electrochemical RAM Cross-Point Arrays For An Analog DL Accelerator


A technical paper titled “Retention-aware zero-shifting technique for Tiki-Taka algorithm-based analog deep learning accelerator” was published by researchers at Pohang University of Science and Technology, Korea University, and Kyungpook National University. "We present the fabrication of 4 K-scale electrochemical random-access memory (ECRAM) cross-point arrays for analog neural network... » read more

In-Memory Computing Challenges Come Into Focus


For the last several decades, gains in computing performance have come by processing larger volumes of data more quickly and with superior precision. Memory and storage space are measured in gigabytes and terabytes now, not kilobytes and megabytes. Processors operate on 64-bit rather than 8-bit chunks of data. And yet the semiconductor industry’s ability to create and collect high quality ... » read more