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SDN-based load balancing service for cloud servers
AA Abdelltif, E Ahmed, AT Fong… - IEEE Communications …, 2018 - ieeexplore.ieee.org
With the continuous growth, heterogeneity, and ever increasing demand of services, load
balancing of cloud servers is an emerging challenge to meet highly demanding …
balancing of cloud servers is an emerging challenge to meet highly demanding …
Exploiting co-execution with oneAPI: heterogeneity from a modern perspective
Programming efficiently heterogeneous systems is a major challenge, due to the complexity
of their architectures. Intel oneAPI, a new and powerful standards-based unified …
of their architectures. Intel oneAPI, a new and powerful standards-based unified …
Cooperative CPU, GPU, and FPGA heterogeneous execution with EngineCL
Heterogeneous systems are the core architecture of most of the high-performance
computing nodes, due to their excellent performance and energy efficiency. However, a key …
computing nodes, due to their excellent performance and energy efficiency. However, a key …
Troodon: A machine-learning based load-balancing application scheduler for CPU–GPU system
Heterogeneous computing machines consisting of a CPU and one or more GPUs are
increasingly being used today because of their higher performance-cost ratio and lower …
increasingly being used today because of their higher performance-cost ratio and lower …
[HTML][HTML] Sigmoid: An auto-tuned load balancing algorithm for heterogeneous systems
A challenge that heterogeneous system programmers face is leveraging the performance of
all the devices that integrate the system. This paper presents Sigmoid, a new load balancing …
all the devices that integrate the system. This paper presents Sigmoid, a new load balancing …
Machine learning-driven energy-efficient load balancing for real-time heterogeneous systems
Load balancing plays a critical role in ensuring system stability and optimal performance,
and as such, it has been a subject of extensive research across diverse computing domains …
and as such, it has been a subject of extensive research across diverse computing domains …
[HTML][HTML] Straightforward heterogeneous computing with the oneapi coexecutor runtime
Heterogeneous systems are the core architecture of most computing systems, from high-
performance computing nodes to embedded devices, due to their excellent performance …
performance computing nodes to embedded devices, due to their excellent performance …
Hystery: a hybrid scheduling and map** approach to optimize temperature, energy consumption and lifetime reliability of heterogeneous multiprocessor systems
In this paper, a hybrid scheduling and map** approach to jointly optimize performance,
lifetime reliability, energy consumption and temperature of heterogeneous multiprocessor …
lifetime reliability, energy consumption and temperature of heterogeneous multiprocessor …
Equalizer: Energy‐efficient machine learning‐based heterogeneous cluster load balancer
Heterogeneous systems deliver high computing performance when effectively utilized. It is
crucial to execute each application on the most suitable device while maintaining system …
crucial to execute each application on the most suitable device while maintaining system …
A simulator for intelligent workload managers in heterogeneous clusters
Modern High Performance Computing (HPC) clusters often comprise a huge amount of
computing resources of different capabilities, making them heterogeneous and difficult to …
computing resources of different capabilities, making them heterogeneous and difficult to …