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1506.09067
Cited By
The Potential of the Intel Xeon Phi for Supervised Deep Learning
30 June 2015
Andre Viebke
Sabri Pllana
BDL
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Papers citing
"The Potential of the Intel Xeon Phi for Supervised Deep Learning"
9 / 9 papers shown
Using Meta-heuristics and Machine Learning for Software Optimization of Parallel Computing Systems: A Systematic Literature Review
Suejb Memeti
Sabri Pllana
A. Binotto
J. Kolodziej
Ivona Brandić
167
47
0
29 Jan 2018
Recurrent Segmentation for Variable Computational Budgets
Lane T. McIntosh
Niru Maheswaranathan
David Sussillo
Jonathon Shlens
SSeg
VOS
269
20
0
28 Nov 2017
Performance Modeling and Evaluation of Distributed Deep Learning Frameworks on GPUs
Shaoshuai Shi
Qiang-qiang Wang
Xiaowen Chu
313
119
0
16 Nov 2017
Benchmarking OpenCL, OpenACC, OpenMP, and CUDA: programming productivity, performance, and energy consumption
Suejb Memeti
Lu Li
Sabri Pllana
J. Kolodziej
C. Kessler
176
97
0
18 Apr 2017
BrainFrame: A node-level heterogeneous accelerator platform for neuron simulations
Georgios Smaragdos
Georgios Chatzikonstantis
Rahul Kukreja
H. Sidiropoulos
D. Rodopoulos
...
Zaid Al-Ars
C. Kachris
Dimitrios Soudris
C. D. De Zeeuw
Christos Strydis
184
25
0
05 Dec 2016
Benchmarking State-of-the-Art Deep Learning Software Tools
International Conference on Cloud Computing and Big Data (ICCCBD), 2016
Shaoshuai Shi
Qiang-qiang Wang
Pengfei Xu
Xiaowen Chu
BDL
364
340
0
25 Aug 2016
Combinatorial Optimization of Work Distribution on Heterogeneous Systems
Suejb Memeti
Sabri Pllana
123
11
0
16 Jun 2016
Parallel Pairwise Correlation Computation On Intel Xeon Phi Clusters
Yongchao Liu
Tony Pan
S. Aluru
178
16
0
05 May 2016
ZNN - A Fast and Scalable Algorithm for Training 3D Convolutional Networks on Multi-Core and Many-Core Shared Memory Machines
A. Zlateski
Kisuk Lee
H. S. Seung
217
50
0
22 Oct 2015
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