This article provides a retrospective on one such case: the TRIPS project at the University of Texas at Austin. This project started with early funding by the National Science Foundation (NSF) of ...

A new technical paper titled “SCREME: A Scalable Framework for Resilient Memory Design” was published by researchers at University of Central Florida, University of Texas at San Antonio and University ...

LWMalloc is an ultra-lightweight dynamic memory allocator designed for embedded systems that is said to outperform ptmalloc used in Glibc, achieving up to 53% faster execution time and 23% lower ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. In an increasingly fragmented and complex global economy, the traditional approach of ...

As the demand for reasoning-heavy tasks grows, large language models (LLMs) are increasingly expected to generate longer sequences or parallel chains of reasoning. However, inference-time performance ...

Explore Cosentino's range of sustainable home surfaces in the new Dallas Design District showroom. Options include stain- and scratch-resistant surfaces, indoor-outdoor selections and natural stone ...

Abstract: Most modern computers are based on a von Neumann architecture, in which computational data are moved between processors and memory. However, due to the gap in operation speed between the ...

The demonstration highlights a major advancement in memory flexibility, showcasing how CXL switching can enable seamless, on-demand memory pooling and expansion across heterogeneous systems. The ...

Genomics is playing an important role in transforming healthcare. Genetic data, however, is being produced at a rate that far outpaces Moore’s Law. Many efforts have been made to accelerate genomics ...

As the scaling of DRAM density slows physically, a promising solution is to scale it up logically via hardware memory compression, which enhances CPU’s memory controller (MC) to squeeze more data into ...

I'm running sparse experiments using vLLM and need dynamic memory management. It would be beneficial to have a feature that automatically releases GPU memory when idle and reallocates it when a new ...