We would like to thank Martin York and Sean Hickman for technical assistance and Don O’Brien for assistance with data collection. This work was supported by operating grants from the Canadian ...

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 <-> ...

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 ...

This Research Topic brings together a collection of studies that discuss the complex relationships between cognitive processes and visual perception. Visual comprehension is a multifaceted cognitive ...

When working with large datasets or optimizing the performance of your Python code, understanding how data structures consume memory is crucial. Two commonly used data structures in Python, lists and ...

Abstract: This paper presents VCMalloc, a custom memory allocator based on a new dynamic memory management approach that keeps data allocated in a contiguous form in memory. It can preserve the ...