Model for the effective bandwidth of element-wise operations (lines = model prediction by Eq 11; symbols = measured maximal effective bandwidth; filled symbols = matrix operations;... حسب Xuzhen He (14676114)

الموضوعات:

Information of the tested GPU platforms. حسب Xuzhen He (14676114)

الموضوعات:

Optimal implementation of matrix operations on the CPU platform (double precision; solid black line = benchmarked bandwidth; lines + symbols = effective bandwidth; black = COPY2D;... حسب Xuzhen He (14676114)

الموضوعات:

Optimal implementation of HEAT1D on the GPU platform (double precision; solid black line = benchmarked bandwidth; lines + symbols = effective bandwidth; red = VEC COPY; black = HEA... حسب Xuzhen He (14676114)

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S1 Data - حسب Xuzhen He (14676114)

الموضوعات:

Relative efficiency of XLA for numerical models (hollow = f64; filled = f32; circles = HEAT1D; triangles = HEAT2D; squares = NS2D; black = PC CPU; red = PC GPU; blue = HPC CPU; mag... حسب Xuzhen He (14676114)

الموضوعات:

The optimal solution set of NYN by using different algorithms. حسب Yi Tao (178829)

The optimal solution set of HN by using different algorithms. حسب Yi Tao (178829)

<b>Fortran program to generate Hilbert trajectories for N=2 fish (+generated trajectories and python code to generate Fig. 3)</b> حسب Clement Sire (4673599)

"…</p><p><br></p><p dir="ltr"><b>The trajectories will be saved in 2_fish-MEM_3-WALL</b> (create the directory and adapt the value of the Memory and the presence of the wall in the program; no wall adds the extension "-NO_WALL" to the directory name)<br>The current submission includes a zip file of the 2_fish-MEM_3-WALL with the trajectories used to produce Fig. 3 after executing the python code <b>Plot_Hilbert_Fish.py</b>.…"

<b>Fortran program to generate Hilbert trajectories for N=5 fish (+generated trajectories and python code to generate Fig. 4)</b> حسب Clement Sire (4673599)

"…<br><br><b>T</b><b>h</b><b>e trajectories will be saved in 5_fish-MEM_3-WAL</b><b>L</b> (create the directory and adapt the value of the Memory and the presence of the wall in the program; no wall adds the extension "-NO_WALL" to the directory name)<br>The current submission includes a zip file of the 5_fish-MEM_3-WALL with the trajectories used to produce Fig. 4 after executing the python code <b>Plot_Hilbert_Fish.py</b> (CAUTION: if the option Plot_Cor=1 to plot the correlation functions is activated, the execution of this python code takes around 45 minutes as it exploits all Hilbert and experimental data)</p><p><br></p>…"

Example of use of the slightly off-axis strategies. حسب Raul Castañeda (13932971)

الموضوعات:

Distribution of the 494 TTS hits identified in 123 unique transcripts between the MFE and SO structures, which were predicted using minimization algorithms (<i>mfold</i>, <i>RNAstr... حسب Atara Neugroschl (16884406)

الموضوعات:

The use of optimal parameters for HDDRs improves 3D modeling quality. حسب Giacomo Janson (8138517)

Formalise2023 حسب samia Alblwi (14497517)

Enhancing usability and utility of USGS 3D Elevation Program (3DEP) lidar data and web services with Jupyter Notebooks حسب Cole Speed (13123511)

"…OpenTopography, supported by the USGS Community for Data Integration (CDI) program, is developing well-documented and customizable Jupyter Notebook-based Python workflows for programmatically accessing, processing, and visualizing 3DEP data products for a variety of use-cases geared toward USGS applications and for users of point cloud data across the geospatial community. …"

Table 1_Entropy-adaptive differential privacy federated learning for student performance prediction and privacy protection: a case study in Python programming.docx حسب Shanwei Chen (12031760)

"…Based on online test records from Python programming courses for Electronic Engineering students (grade 2021–2023) at the School of Physics and Optoelectronic Technology, Baoji University of Arts and Sciences, China, the study uses a Multilayer Perceptron (MLP) model and 10 distributed clients for training. …"

Awkward Arrays: Accelerating scientific data analysis on irregularly shaped data حسب Jim Pivarski (17087893)

Awkward Arrays: Accelerating scientific data analysis on irregularly shaped data حسب Jim Pivarski (17087893)

Quanfima: An open source Python package for automated fiber analysis of biomaterials حسب Roman Shkarin (6580823)

"…Due to the demand for reproducible science with Jupyter notebooks and the broad use of the Python programming language, we have developed the new Python package quanfima offering a complete analysis of hybrid biomaterials, that include the determination of fiber orientation, fiber and/or particle diameter and porosity. …"

The R code that was used to analyze the data in S2 File. حسب Amrutaa Vibho (19688247)