Cloud computing has motivated renewed interest in resource allocation problems with new consumption models. A common goal is to share a resource, such as CPU or I/O bandwidth, among distinct users ...

C programming is a general-purpose, processor-oriented, and powerful language, widely used in various daily life applications. As a prerequisite for many core courses in computer science and ...

Dynamic mechanisms of engram maturation. During the allocation, engram allocation is primarily governed by enhancements in intrinsic neuronal excitability, driven primarily by increased ...

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 ...

In the world of programming languages it often feels like being stuck in a Groundhog Day-esque loop through purgatory, as effectively the same problems are being solved over and over, with previous ...

Abstract: Apache Spark is an in-memory analytic framework that has been adopted in the industry and research fields. Two memory managers, Static and Unified, are available in Spark to allocate memory ...

As someone who has spent over two decades in the embedded systems industry, I’ve seen the vast evolution of technology—from 8-bit microcontrollers to today’s sophisticated, multicore systems. Yet, one ...

In Rust we Trust: Modern programming languages designed to enforce memory safety are gaining popularity. Rust, a language initiated by software developer Graydon Hoare while working at Mozilla, is now ...

Efficient use of GPU memory is essential for high throughput LLM inference. Prior systems reserved memory for the KV-cache ahead-of-time, resulting in wasted capacity due to internal fragmentation.