Memory stocks are surging as AI fuels HBM/DRAM/NAND shortages and pricing power at Micron, Samsung, SK Hynix. Click for more.

The technology uses predictive algorithms to identify frequently accessed data and move it between flash storage and high-speed memory in real time, reducing the amount of expensive DRAM a data center ...

Returns of less than 12 months are cumulative returns. Returns for periods greater than 12 months are annualized returns. Total return measures net investment income and capital gain or loss from ...

There’s a lot of hype around the Rust programming language, and I’m seeing it being adopted by various projects, not least the Linux kernel. However, so far it was unclear to me whether it was ...

Abstract: We present a novel branch-and-bound solver for mixed-integer quadratic programs (MIQPs) that efficiently exploits the first-order OSQP solver for the quadratic program (QP) sub-problems. Our ...

Achieving optimal performance in GPU-centric workflows frequently requires customizing how host and device memory are allocated. For example, using "pinned" host memory for asynchronous host <-> ...

The artificial intelligence (AI) revolution has expanded rapidly since 2023, powering applications from chatbots to autonomous systems and driving trillions in market value. Tech giants have invested ...

1 School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA. 2 Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA. As cloud ...

Advanced Mac users may wish to manually increase the VRAM allocation on their Apple Silicon Mac for performance reasons when engaging in graphics intensive tasks like running LLMs locally, AI models, ...

Abstract: Visual working memory (VWM) allows storing goal-relevant information to guide future behavior. Prior work suggests that VWM is spatially organized and relies on spatial attention directed ...