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MPEFT: a makespan minimizing heuristic scheduling algorithm for workflows in heterogeneous computing systems
Applications involving multifarious computational requirements take the advantage of the versatility of heterogeneous computing systems (HCS) with...
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Heterogeneous Hardware
This chapter provides the necessary background on computer architecture in order to understand how hardware accelerators are programmed and execute...
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Placement Combination between Heterogeneous Services and Heterogeneous Capacitated Servers in Edge Computing
With the rapid increase of applications in 5G and Internet of Things, mobile edge computing (MEC) has been proposed to reduce the burden of central...
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Unified Programming Models for Heterogeneous High-Performance Computers
Unified programming models can effectively improve program portability on various heterogeneous high-performance computers. Existing unified...
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QPU integration in OpenCL for heterogeneous programming
The integration of quantum processing units (QPUs) in a heterogeneous high-performance computing environment requires solutions that facilitate...
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Energy-aware task scheduling optimization with deep reinforcement learning for large-scale heterogeneous systems
The energy consumption of large-scale heterogeneous computing systems has become a critical concern on both financial and environmental fronts....
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The Couple-Group Consensus of Heterogeneous Multi-Agent Systems with Different Leaders Under Markov Switching in Cooperative-Competitive Networks
In this article, the couple-group consensus of heterogeneous multi-agent systems (HMASs) with different leaders under Markov switching in...
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Motif-guided heterogeneous graph deep generation
The complex systems in the real-world are commonly associated with multiple types of objects and relations, and heterogeneous graphs are ubiquitous...
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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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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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Scheduling for heterogeneous systems in accelerator-rich environments
The world is creating ever more data and the applications are required to deal with ever-increasing datasets. To process such datasets heterogeneous...
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Scheduling Fork-Joins to Heterogeneous Processors
The scheduling of task graphs with communication delays has been extensively studied. Recently, new results for the common sub-case of fork-join...
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Configuration optimization for heterogeneous time-sensitive networks
Time-Sensitive Networking (TSN) collectively defines a set of protocols and standard amendments that enhance IEEE 802.1Q Ethernet nodes with...
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Programming Heterogeneous Architectures Using Hierarchical Tasks
Task-based systems have gained popularity as they promise to exploit the computational power of complex heterogeneous systems. A common programming...
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A heterogeneous graph-based semi-supervised learning framework for access control decision-making
For modern information systems, robust access control mechanisms are vital in safeguarding data integrity and ensuring the entire system’s security....
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An energy-efficient task scheduling method for heterogeneous cloud computing systems using capuchin search and inverted ant colony optimization algorithm
Cloud computing (CC) is a computing paradigm to satisfy end users' computing and storage needs. Cloud data centers (DC) must continuously improve...
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Hypergraph-Enhanced Self-supervised Heterogeneous Graph Representation Learning
Heterogeneous graphs are widely used to model complex systems in the real world, such as social networks, biomedical networks, and citation networks....
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Research and optimization of task scheduling algorithm based on heterogeneous multi-core processor
Heterogeneous multi-core processor has the ability to switch between different types of cores to perform tasks, which provides more space and...
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Memory-Enhanced Transformer for Representation Learning on Temporal Heterogeneous Graphs
Temporal heterogeneous graphs can model lots of complex systems in the real world, such as social networks and e-commerce applications, which are...
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A Deterministic Portable Parallel Pseudo-Random Number Generator for Pattern-Based Programming of Heterogeneous Parallel Systems
SkePU is a pattern-based high-level programming model for transparent program execution on heterogeneous parallel computing systems. A key feature of...
