MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, has announced a groundbreaking achievement of great theoretical and engineering significance: its ...
Abstract: This paper investigates resource allocation problems, where the cost functions of agents are nonsmooth and the decisions of agents are constrained by heterogeneous local constraints and ...
Abstract: The problem of joint radio and cloud resources allocation is studied for heterogeneous mobile cloud computing networks. The objective of the proposed joint resource allocation schemes is to ...
Effective resource allocation in cloud computing continues a critical challenge due to dynamic loads, stringent service-level expectations, and the need to balance execution time, energy, and cost.
As a crucial link between the inland area and maritime transport, a port’s importance is undeniable. The expanding maritime transport economy has heightened the need for improved port operational ...
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 <-> ...
0267_RL_for_resource_allocation/ ├── src/ # Source code │ ├── agents/ # RL agents implementation │ │ ├── __init__.py │ │ └── agents.py # PPO, SAC, TD3, Policy Gradient │ ├── envs/ # Environment ...
Thomas J. Brock is a CFA and CPA with more than 20 years of experience in various areas including investing, insurance portfolio management, finance and accounting, personal investment and financial ...
For decades, finance functions allocated resources based on historical data, intuition and a fixed annual budget cycle. This approach provided a stable foundation in predictable markets but lacked the ...
With the advancement of technology and the continuous innovation of applications, low-latency applications such as drones, online games and virtual reality are gradually becoming popular demands in ...
Shenzhen expects to solve the current shortage in computing resources, which represent critical infrastructure to develop and train AI systems such as large language models (LLMs), by building a ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results