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Optimal resource allocation using reinforcement learning for IoT content-centric services
The exponential growing rate of the networking technologies has led to a dramatical large
scope of the connected computing environment. Internet-of-Things (IoT) is considered an …
scope of the connected computing environment. Internet-of-Things (IoT) is considered an …
Optimising makespan and energy consumption in task scheduling for parallel systems
In parallel computing, the scheduling of the tasks of an application onto the processors of the
parallel system is crucial. A task schedule determines both the allocation of tasks to the …
parallel system is crucial. A task schedule determines both the allocation of tasks to the …
SAFLA: scheduling multiple real-time periodic task graphs on heterogeneous systems
Many modern Cyber Physical Systems (CPSs) are composed of multiple independent
periodically executing real-time control tasks having inter-dependent component sub-tasks …
periodically executing real-time control tasks having inter-dependent component sub-tasks …
Contention-aware optimal scheduling of real-time precedence-constrained task graphs on heterogeneous distributed systems
Real-time applications in today's distributed cyber-physical control systems are often
represented as Precedence-constrained Task Graphs (PTGs) and increasingly implemented …
represented as Precedence-constrained Task Graphs (PTGs) and increasingly implemented …
SLAQA Quality-level Aware Scheduling of Task Graphs on Heterogeneous Distributed Systems
Continuous demands for higher performance and reliability within stringent resource
budgets is driving a shift from homogeneous to heterogeneous processing platforms for the …
budgets is driving a shift from homogeneous to heterogeneous processing platforms for the …
Scheduling directed acyclic graphs with optimal duplication strategy on homogeneous multiprocessor systems
Q Tang, LH Zhu, L Zhou, J **ong, JB Wei - Journal of Parallel and …, 2020 - Elsevier
Modern applications generally need a large volume of computation and communication to
fulfill the goal. These applications are often implemented on multiprocessor systems to meet …
fulfill the goal. These applications are often implemented on multiprocessor systems to meet …
ILP-based modulo scheduling for high-level synthesis
In high-level synthesis, loop pipelining is a technique to improve the throughput and
utilisation of hardware datapaths by starting new loop iterations after a fixed amount of time …
utilisation of hardware datapaths by starting new loop iterations after a fixed amount of time …
Appropriate allocation of workloads on performance asymmetric multicore architectures via deep learning algorithms
B Gomatheeshwari, J Selvakumar - Microprocessors and Microsystems, 2020 - Elsevier
Asymmetric multicore processors (AMP) have become popular in both high-end and low-
end computing systems due to its flexibility and high performance. A performance …
end computing systems due to its flexibility and high performance. A performance …
Optimization of duplication-based schedules on network-on-chip based multi-processor system-on-chips
Q Tang, SF Wu, JW Shi, JB Wei - IEEE transactions on parallel …, 2016 - ieeexplore.ieee.org
Many applications such as streaming applications are both computation and communication
intensive. The Multi-Processor System-on-Chip (MPSoC) based on Network-on-Chip (NoC) …
intensive. The Multi-Processor System-on-Chip (MPSoC) based on Network-on-Chip (NoC) …
Satisfiability modulo theory (SMT) formulation for optimal scheduling of task graphs with communication delay
In scheduling theory and practise for parallel computing, representing a program as a task
graph with communication delays is a popular model, due to its general nature, its …
graph with communication delays is a popular model, due to its general nature, its …