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 ...

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 ...

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 ...

Abstract: Memory allocation is the process of allocating physical or virtual memory space to computer applications and processes. There are two types of memory allocation: static memory allocation and ...

Department of Applied Physics, The Hong Kong Polytechnic University, Kowloon, Hong Kong 999077, China Joint Research Centre of Microelectronics, The Hong Kong Polytechnic University, Kowloon, Hong ...

Wuhan National High Magnetic Field Center and Department of Physics, Huazhong University of Science and Technology, Wuhan 430074, P. R. China ...

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 ...

Researchers from the Graz University of Technology have discovered a way to convert a limited heap vulnerability in the Linux kernel into a malicious memory writes capability to demonstrate novel ...

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.