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Abstract: In this study, we propose LWMalloc, a lightweight dynamic memory allocator designed for resource-constrained environments. LWMalloc incorporates a lightweight data structure, a deferred ...

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 ...

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 ...

The C programming language is one of the most influential in computing history. In just 100 seconds, learn why C remains the backbone of modern software—powering operating systems like Linux, Windows, ...

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 ...

Current memory systems for large language model (LLM) agents often struggle with rigidity and a lack of dynamic organization. Traditional approaches rely on fixed memory structures—predefined storage ...

Memory management is a critical aspect of modern operating systems, ensuring efficient allocation and deallocation of system memory. Linux, as a robust and widely used operating system, employs ...

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.