“Analog In-Memory Computing (AIMC) is an emerging technology for fast and energy-efficient Deep Learning (DL) inference. However, a certain amount of digital post-processing is required to deal with ...
From a conceptual standpoint, the idea of embedding processing within main memory makes logical sense since it would eliminate many layers of latency between compute and memory in modern systems and ...
A technical paper titled “FlutPIM: A Look-up Table-based Processing in Memory Architecture with Floating-point Computation Support for Deep Learning Applications” was published by researchers at ...
When working memory load exceeds capacity, a new study finds, feedback coupling of the prefrontal cortex with other involved regions shuts down. Everyday experience makes it obvious -- sometimes ...
GRENOBLE, France, Sept. 8, 2017 — UPMEM, a fabless semiconductor startup company, announces UPMEM Processing In-Memory (PIM), the next generation hardware solution for data intensive applications in ...
Integration of HBM-PIM with the Xilinx Alveo AI accelerator system will boost overall system performance by 2.5X while reducing energy consumption by more than 60% SEOUL, South Korea--(BUSINESS WIRE)- ...
A recent article in the New York Times by neuroscientist Daniel Levitin, “Everyone Knows Memory Fails as You Age. But Everyone is Wrong,” argues that memory difficulties are quite common and do not ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback