Abstract: This paper aims to present a unified optimization for resource allocation and scheduling in resource allocation systems. In contrast to traditional two-stage methods, which optimize ...

This year, there won't be enough memory to meet worldwide demand because powerful AI chips made by the likes of Nvidia, AMD and Google need so much of it. Prices for computer memory, or RAM, are ...

ABSTRACT: Financial systems are inherently complex, exhibiting memory effects, nonlinearity, and evolving dynamics that cannot be adequately captured by traditional differential models. This study ...

Benefiting from a rapid recovery in memory market demand during the first half of 2025, memory packaging and testing companies are sharing in the gains. Although the US 90-day tariff exemption period ...

Abstract: The RAPIDS Memory Manager (RMM) is developed by NVIDIA as a package that would enable developers to customize GPU memory allocation. RMM enables the use of pool allocation which could ...

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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 ...

If you’ve purchased a laptop or tablet with an AMD Ryzen chip inside, there’s a performance tweak you absolutely need to know about. Apply it to AMD’s AI/gaming powerhouse Ryzen AI Max chip, and you ...

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 ...

I am using TensorFlow in a Spring Boot application, which exposes an endpoint for NER processing. The TensorFlow model is trained in Python and loaded into the Java application for inference. To ...