Xeon e5 2620 v4

Manufactured by NVIDIA

The Xeon E5-2620 v4 is a server-grade processor developed by Intel. It features 8 cores and 16 threads, with a base clock speed of 2.1 GHz and a maximum turbo frequency of 3.0 GHz. The processor supports up to 2400 MHz DDR4 memory and has a thermal design power (TDP) of 85 watts.

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Lab products found in correlation

Quadro p6000, by NVIDIA (1 mentions) Titan 5 gpu, by NVIDIA (1 mentions)

2 protocols using xeon e5 2620 v4

DeepHL: Deep Learning Trajectory Analysis

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The DeepHL system consists of three server computers. The first one is a web server that receives a trajectory data file from a user and provides analysis results to the user (Intel Xeon E5-2620 v4, 16 cores, 32 GB RAM, Ubuntu 14.04). The second one is a storage server that stores data files and analysis results. The third one is a GPU server that analyzes data provided by the user (Intel Xeon E5-2620 v4, 32 cores, 512 GB RAM, four NVIDIA Quadro P6000, Ubuntu 14.04). Supplementary Information, Algorithm, provides a complete description of the DeepHL method. DeepHL is accessible on the Internet through http://www-mmde.ist.osaka-u.ac.jp/maekawa/deephl/. Supplementary Information, User guide to DeepHL, provides a user guide to DeepHL. In addition, Supplementary Information, Usage of Python-based Software, and Supplementary Software 1 present the Python code of DeepHL.

Maekawa T., Ohara K., Zhang Y., Fukutomi M., Matsumoto S., Matsumura K., Shidara H., Yamazaki S.J., Fujisawa R., Ide K., Nagaya N., Yamazaki K., Koike S., Miyatake T., Kimura K.D., Ogawa H., Takahashi S, & Yoda K. (2020). Deep learning-assisted comparative analysis of animal trajectories with DeepHL. Nature Communications, 11, 5316.

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Comparative Speed Analysis of Processing Models

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The comparison of processing speed measures the actual prediction speed of all models in a like-for-like setting. All tests were performed on the same hardware with 32 Intel Xeon E5–2620 v4 at 32× 3GHz processors, 252 GB of RAM and two Nvidia Titan V GPUs. To enables a fair and direct comparison, all data was already loaded into the RAM memory of the computer. The speed measurement comprises the segmentation of multiple patches and the connected component analysis for all 4 methods. Final speeds for each method were then averaged over the number of patches. Please note that the patch-wise processing ensures linear scaling of processing times.

Zhao S., Todorov M.I., Cai R., AI-Maskari R., Steinke H., Kemter E., Mai H., Rong Z., Warmer M., Stanic K., Schoppe O., Paetzold J.C., Gesierich B., Wong M.N., Huber T.B., Duering M., Bruns O.T., Menze B., Lipfert J., Puelles V.G., Wolf E., Bechmann I, & Ertürk A. (2020). Cellular and Molecular Probing of Intact Human Organs. Cell, 180(4), 796-812.e19.

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