Optimal implementation of HEAT1D on the CPU platform (double precision; solid black line = benchmarked bandwidth; lines + symbols = effective bandwidth; red = COPY1D; black = HEAT1... by Xuzhen He (14676114)

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Architecture of the CPU and GPU computing platforms. by Xuzhen He (14676114)

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Optimal implementation of HEAT2D and NS2D on the CPU platform (double precision; solid black line = benchmarked bandwidth; lines + symbols = effective bandwidth; black = HEAT2D; re... by Xuzhen He (14676114)

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

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

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

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S1 Data - by Xuzhen He (14676114)

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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... by Xuzhen He (14676114)

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code by You Wan (11558212)

Verification of the in-line PS function. by Raul Castañeda (13932971)

Example of the angular spectrum approach to numerically focus a hologram using a circular spatial filter tool. by Raul Castañeda (13932971)

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

Example of the fully-compensated phase reconstruction package for off-axis DHM holograms recorded in telecentric configuration. by Raul Castañeda (13932971)

Examples of the Fresnel and Fresnel-Bluestein propagation approaches to numerically focus holograms using a rectangular mask to filter the object frequencies from the hologram spec... by Raul Castañeda (13932971)

Example of the CNF function for off-axis DHM holograms recorded in a non-telecentric configuration. by Raul Castañeda (13932971)

Code by Baoqiang Chen (21099509)

The three-step workflow for generating biomass objective functions from experimental data with BOFdat. by Jean-Christophe Lachance (6619307)

BOFdat Step 3: Identifying species-specific metabolic end goals. by Jean-Christophe Lachance (6619307)

BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data by Jean-Christophe Lachance (6619307)

“…To fill this gap in the metabolic modeling software ecosystem, we implemented BOFdat, a Python package for the definition of a <b>B</b>iomass <b>O</b>bjective <b>F</b>unction from experimental <b>dat</b>a. …”

Re-Implementation of Refactory_GPT_Models Tool by Aqsa Shabbir (18604261)

“…<br>```<br><br><b>## Setup</b><br><br><b>### Extract Dataset</b><br><br>`unzip data.zip`<br><br><b>### Install Ubuntu/Debian packages</b><br><br>`sudo apt-get install python3 python3-pip`<br><br><b>### Install Python packages</b><br><br>The is implemented in Python 3.10.12. …”