Performance prediction of deep learning applications training in GPU as a service systems
Data analysts predict that the GPU as a service (GPUaaS) market will grow to support 3D
models, animated video processing, gaming, and deep learning model training. The main …
models, animated video processing, gaming, and deep learning model training. The main …
AI-driven performance modeling for AI inference workloads
Deep Learning (DL) is moving towards deploying workloads not only in cloud datacenters,
but also to the local devices. Although these are mostly limited to inference tasks, it still …
but also to the local devices. Although these are mostly limited to inference tasks, it still …
An accurate model to predict the performance of graphical processors using data mining and regression theory
Nowadays the use of graphical processors in fast and accurate scientific calculations has
increased. The heterogeneous design space that is conducted by the processors could …
increased. The heterogeneous design space that is conducted by the processors could …
SDAM: a combined stack distance-analytical modeling approach to estimate memory performance in GPUs
M Kiani, A Rajabzadeh - The Journal of Supercomputing, 2021 - Springer
Graphics processing units (GPUs) are powerful in performing data-parallel applications.
Such applications most often rely on the GPU's memory hierarchy to deliver high …
Such applications most often rely on the GPU's memory hierarchy to deliver high …
Toward a general framework for jointly processor-workload empirical modeling
H Sheidaeian, O Fatemi - The Journal of Supercomputing, 2021 - Springer
The complexity of state-of-the-art processor architectures and their consequent vast design
spaces have made it difficult and time-consuming to explore the best configuration for them …
spaces have made it difficult and time-consuming to explore the best configuration for them …