Optimization techniques for GPU programming
In the past decade, Graphics Processing Units have played an important role in the field of
high-performance computing and they still advance new fields such as IoT, autonomous …
high-performance computing and they still advance new fields such as IoT, autonomous …
A survey of techniques for optimizing deep learning on GPUs
The rise of deep-learning (DL) has been fuelled by the improvements in accelerators. Due to
its unique features, the GPU continues to remain the most widely used accelerator for DL …
its unique features, the GPU continues to remain the most widely used accelerator for DL …
A city-scale estimation of rooftop solar photovoltaic potential based on deep learning
The estimation of rooftop solar photovoltaic (PV) potential is crucial for policymaking around
sustainable energy plans. But it is difficult to accurately estimate the availability of rooftop …
sustainable energy plans. But it is difficult to accurately estimate the availability of rooftop …
CLTune: A generic auto-tuner for OpenCL kernels
C Nugteren, V Codreanu - 2015 IEEE 9th International …, 2015 - ieeexplore.ieee.org
This work presents CLTune, an auto-tuner for OpenCL kernels. It evaluates and tunes kernel
performance of a generic, user-defined search space of possible parameter-value …
performance of a generic, user-defined search space of possible parameter-value …
Asymo: scalable and efficient deep-learning inference on asymmetric mobile cpus
On-device deep learning (DL) inference has attracted vast interest. Mobile CPUs are the
most common hardware for on-device inference and many inference frameworks have been …
most common hardware for on-device inference and many inference frameworks have been …
[HTML][HTML] Kernel Tuner: A search-optimizing GPU code auto-tuner
B van Werkhoven - Future Generation Computer Systems, 2019 - Elsevier
A very common problem in GPU programming is that some combination of thread block
dimensions and other code optimization parameters, like tiling or unrolling factors, results in …
dimensions and other code optimization parameters, like tiling or unrolling factors, results in …
The interface between forensic science and technology: how technology could cause a paradigm shift in the role of forensic institutes in the criminal justice system
A Kloosterman, A Mapes, Z Geradts… - … of the Royal …, 2015 - royalsocietypublishing.org
In this paper, the importance of modern technology in forensic investigations is discussed.
Recent technological developments are creating new possibilities to perform robust …
Recent technological developments are creating new possibilities to perform robust …
Accelerating sparse cnn inference on gpus with performance-aware weight pruning
Weight pruning is a popular technique to reduce the size and computation complexity of the
Convolutional Neural Networks (CNNs). Despite its success in reducing the model size …
Convolutional Neural Networks (CNNs). Despite its success in reducing the model size …
Optimization of parallel iterated local search algorithms on graphics processing unit
Y Zhou, F He, Y Qiu - The Journal of Supercomputing, 2016 - Springer
Local search metaheuristics (LSMs) are efficient methods for solving hard optimization
problems in science, engineering, economics and technology. By using LSMs, we could …
problems in science, engineering, economics and technology. By using LSMs, we could …
Bayesian Optimization for auto-tuning GPU kernels
FJ Willemsen, R van Nieuwpoort… - … and Simulation of …, 2021 - ieeexplore.ieee.org
Finding optimal parameter configurations for tunable GPU kernels is a non-trivial exercise
for large search spaces, even when automated. This poses an optimization task on a …
for large search spaces, even when automated. This poses an optimization task on a …