Sep 22, 2016 · In this paper, we present HppCnn, a CNN library achieves both the high performance and portability on GPGPUs. In HppCnn, we propose a novel ...
HppCnn: A High-Performance, Portable Deep-Learning Library for ...
colab.ws › articles › ICPP.2016.73
In this paper, we present HppCnn, a CNN library achieves both the high performance and portability on GPGPUs. In HppCnn, we propose a novel three-step approach ...
Aug 13, 2018 · UHCL-Darknet is a scalable and portable DNN framework for heterogeneous clusters, and achieves 1.9x and 2.2x speedups on average respectively.
... Hppcnn: a high-performance, portable deep-learning library for gpgpus. In: 2016 45th international conference on parallel processing (ICPP), pp 582–587
HppCnn: A High-Performance, Portable Deep-Learning Library for GPGPUs. ICPP ... Optimizing memory efficiency for deep convolutional neural networks on GPUs.
HppCnn: A High-Performance, Portable Deep-Learning Library for GPGPUs. Proceedings of the 2016 45th International Conference on Parallel Processing (ICPP) ...
... HppCnn: A High-Performance, Portable Deep-Learning Library for GPGPUs. Yang Y., Feng M., Chakradhar S. 2016 , citations by CoLab: 2 | Abstract. The massively ...
Feb 1, 2019 · ... Hppcnn: a high-performance, portable deep-learning library for gpgpus. In: 2016 45th international conference on parallel processing (ICPP) ...
HppCnn: A High-Performance, Portable Deep-Learning Library for GPGPUs. ICPP ... BLASX: A High Performance Level-3 BLAS Library for Heterogeneous Multi-GPU ...
Dec 3, 2019 · PyTorch is a machine learning library that shows that these two goals are in fact compatible: it provides an imperative and Pythonic programming style.
Missing: HppCnn: GPGPUs.