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POAS: a framework for exploiting accelerator level parallelism in heterogeneous environments
In the era of heterogeneous computing, a new paradigm called accelerator level parallelism (ALP) has emerged. In ALP, accelerators are used...
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Optimization of uncertain dependent task map** on heterogeneous computing platforms
Dependent tasks are typically modeled using directed acyclic graphs (DAGs), and scheduling algorithms based on DAGs have been extensively researched....
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Heterogeneous Graph Representation for Knowledge Tracing
Knowledge tracing (KT) is a fundamental task of intelligent education, which traces students’ knowledge states by their historical interactions. In...
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Contextually aware intelligent control agents for heterogeneous swarms
An emerging challenge in swarm shepherding research is to design effective and efficient artificial intelligence algorithms that maintain simplicity...
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Leaderless output sign consensus of heterogeneous multi-agent systems over switching signed graphs
This study examined the LOSC problem of heterogeneous MASs over signed switching digraphs. We remove the common requirement that a practical leader...
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Heterogeneous transfer learning: recent developments, applications, and challenges
Transfer learning (TL) has emerged as a promising area of research in machine learning (ML) due to its ability to enhance learning efficiency and...
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Credit assignment in heterogeneous multi-agent reinforcement learning for fully cooperative tasks
Credit assignment poses a significant challenge in heterogeneous multi-agent reinforcement learning (MARL) when tackling fully cooperative tasks....
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A fault-tolerant scheduling algorithm that minimizes the number of replicas in heterogeneous service-oriented cloud computing systems
The service-oriented heterogeneous cloud computing system offers paid computing services through its powerful processors. However, task execution...
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Explicit Behavior Interaction with Heterogeneous Graph for Multi-behavior Recommendation
Multi-behavior recommendation systems exploit multi-type user–item interactions (e.g., clicking, adding to cart and collecting) as auxiliary...
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HDUD-Net: heterogeneous decoupling unsupervised dehaze network
Haze reduces the imaging effectiveness of outdoor vision systems, significantly degrading the quality of images; hence, reducing haze has been a...
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Programming Heterogeneous Hardware via Managed Runtime Systems
The last chapter described the challenges posed by programming hardware accelerators from managed programming languages, such as Java, C#, Python, or...
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An interlayer feature fusion-based heterogeneous graph neural network
Most existing heterogeneous graph neural network models need more effective integration and full exploitation of features at different network levels...
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Teragraph Heterogeneous System for Ultra-large Graph Processing
The interest to the complex data models analysis has grown significantly in the last decade. Graphs are known as the most adequate form of the real...
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Using heterogeneous computing and edge computing to accelerate anomaly detection in remotely sensed multispectral images
This paper proposes a parallel algorithm exploiting heterogeneous computing and edge computing for anomaly detection (AD) in remotely sensed...
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Encoding feature set information in heterogeneous graph neural networks for game provenance
AbstractGame Provenance has been proposed and employed for Game Analytics tasks as they capture game session data in detail and allow exploratory...
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IoT technology enabled stochastic computing paradigm for numerical simulation of heterogeneous mosquito model
In this communication, a fractional order design and numerical form of the solutions are presented for numerical simulations of heterogeneous...
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An efficient graph embedding clustering approach for heterogeneous network
Recently, the analysis of heterogeneous networks has become more popular due to the growing number of social networks. These networks are capable of...
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Multimodal heterogeneous graph attention network
The real world involves many graphs and networks that are essentially heterogeneous, in which various types of relations connect multiple types of...
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A multi-source heterogeneous medical data enhancement framework based on lakehouse
Obtaining high-quality data sets from raw data is a key step before data exploration and analysis. Nowadays, in the medical domain, a large amount of...
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Heterogeneous hypergraph learning for literature retrieval based on citation intents
Literature retrieval helps scientists find previous work that is relative to their own research or even get new research ideas. However, the...
