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

الموضوعات:

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

الموضوعات:

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

الموضوعات:

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 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)

الموضوعات:

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:

A Python Package for the Localization of Protein Modifications in Mass Spectrometry Data حسب Anthony S. Barente (14035175)

"…Here we describe pyAscore, an efficient and versatile implementation of the Ascore algorithm in Python for scoring the localization of user defined PTMs in data dependent mass spectrometry. pyAscore can be used from the command line or imported into Python scripts and accepts standard file formats from popular software tools used in bottom-up proteomics. …"

OPTIMIZED DETERMINATION OF 3D COORDINATES IN THE SURVEY OF INACCESSIBLE POINTS OF BUILDINGS - EXAMPLE OF APPLICATION IMPLEMENTED IN FREE SOFTWARE حسب Leandro Luiz Silva de França (6625883)

Global Aridity Index and Potential Evapotranspiration Climate Database v3.1 - Algorithm Code (Python) حسب Robert Zomer (12796235)

"…<p dir="ltr">The custom code in Python programming language used to develop the <b>Global Aridity Index and Potential Evapotranspiration (ET0) Climate Database v3.…"

PyRates—A Python framework for rate-based neural simulations حسب Richard Gast (8129451)

"…A basic requirement for computational modeling studies is the availability of efficient software for setting up models and performing numerical simulations. While many such tools exist for different families of neural models, there is a lack of tools allowing for both a generic model definition and efficiently parallelized simulations. …"

Table_1_An application programming interface implementing Bayesian approaches for evaluating effect of time-varying treatment with R and Python.pdf حسب Chen Chen (6544)

"…Introduction<p>Methods and tools evaluating treatment effect have been primarily developed for binary type of treatment. …"

PySHS: Python Open Source Software for Second Harmonic Scattering حسب Lotfi Boudjema (4177942)

"…The PySHS package is a new python open source software tool which simulates the second harmonic scattering (SHS) of different kinds of colloidal nano-objects in various experimental configurations. …"

Parallel scalable simulations of biological neural networks using TensorFlow: A beginner's guide حسب Rishika Mohanta (7327013)

"…TensorFlow is a Python-based open-source package designed for machine learning algorithms. …"

Numerical data and codes for "Noisy Probabilistic Error Cancellation and Generalized Physical Implementability" حسب Tian-Ren Jin (18781930)

"…<p dir="ltr">This data set contains the data and codes for "Noisy Probabilistic Error Cancellation and Generalized Physical Implementability". …"

Table_2_XCast: A python climate forecasting toolkit.docx حسب Kyle Joseph Chen Hall (13049001)

"…Heavy data preprocessing is needed: gridded data must be aggregated, reshaped, or reduced in dimensionality in order to fit the strict formatting requirements of Python's data science tools. Efficiently implementing this gridpoint-wise workflow is a time-consuming logistical burden which presents a high barrier to entry to earth data science. …"

Table_1_XCast: A python climate forecasting toolkit.docx حسب Kyle Joseph Chen Hall (13049001)

"…Heavy data preprocessing is needed: gridded data must be aggregated, reshaped, or reduced in dimensionality in order to fit the strict formatting requirements of Python's data science tools. Efficiently implementing this gridpoint-wise workflow is a time-consuming logistical burden which presents a high barrier to entry to earth data science. …"

Table_2_XCast: A python climate forecasting toolkit.docx حسب Kyle Joseph Chen Hall (13049001)

"…Heavy data preprocessing is needed: gridded data must be aggregated, reshaped, or reduced in dimensionality in order to fit the strict formatting requirements of Python's data science tools. Efficiently implementing this gridpoint-wise workflow is a time-consuming logistical burden which presents a high barrier to entry to earth data science. …"

Table_1_XCast: A python climate forecasting toolkit.docx حسب Kyle Joseph Chen Hall (13049001)

"…Heavy data preprocessing is needed: gridded data must be aggregated, reshaped, or reduced in dimensionality in order to fit the strict formatting requirements of Python's data science tools. Efficiently implementing this gridpoint-wise workflow is a time-consuming logistical burden which presents a high barrier to entry to earth data science. …"