Researchers propose low-latency topologies and processing-in-network as memory and interconnect bottlenecks threaten inference economic viability ...

“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 ...

Samsung Electronics and SK Hynix have been at the forefront of developing the Processing-In-Memory (PIM) technology in recent years. They are poised to integrate it into AI-enabled PCs and smartphones ...

New technical paper titled “Multi-functional multi-gate one-transistor process-in-memory electronics with foundry processing and footprint reduction” from researchers at Ningbo Institute of Materials ...

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)- ...

Scientists at Kessler Foundation reported results from a randomized controlled trial examining the influence of processing speed on treatment benefits of the Kessler Foundation modified Story Memory ...

In 1994, University of Virginia computer science professor emeritus William Wulf and his then-graduate student, Sally McKee, identified what would become a defining challenge in the field of computer ...

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 ...