[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 …
Enginecl: Usability and performance in heterogeneous computing
Heterogeneous systems have become one of the most common architectures today, thanks
to their excellent performance and energy consumption. However, due to their heterogeneity …
to their excellent performance and energy consumption. However, due to their heterogeneity …
AEML: An acceleration engine for multi-GPU load-balancing in distributed heterogeneous environment
Z Tang, L Du, X Zhang, L Yang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
For the rapid growth computation requirements in big data and artificial intelligence area,
CPU-GPU heterogeneous clusters can provide more powerful computing capacity …
CPU-GPU heterogeneous clusters can provide more powerful computing capacity …
A fuzzy neural network based dynamic data allocation model on heterogeneous multi-GPUs for large-scale computations
The parallel computation capabilities of modern graphics processing units (GPUs) have
attracted increasing attention from researchers and engineers who have been conducting …
attracted increasing attention from researchers and engineers who have been conducting …
[HTML][HTML] Multi-GPU work sharing in a task-based dataflow programming model
Today, multi-GPU computing nodes are the mainstay of most high-performance computing
systems. Despite significant progress in programmability, building an application that …
systems. Despite significant progress in programmability, building an application that …
Sigmoid: An auto-tuned load balancing algorithm for heterogeneous systems
B Pérez Pavón, E Stafford Fernández, JL Bosque Orero… - 2021 - repositorio.unican.es
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 …
[引用][C] Multi-GPU Work Sharing in a Task-Based Dataflow Programming Model
J Johna, J Milthorpea, T Heraultb, G Bosilcab