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1dpdpy

1D peridynamics code

aerospacestructures

aquila-lcs

A small sample of a volumetric Lagrangian Coherent Structure code for GPUs and CPUs leveraging Numba.

bag-of-benchmarks

Various HPC micro-benchmarks: python, numpy, MPI

caffe

Caffe: a fast open framework for deep learning.

christianlagares.github.io

datasciencecoursera

This repository contains work done for the Data Science Specialization of the Johns Hopkins University offered through Coursera.

datasharing

The Leek group guide to data sharing

dt5-merc5

efficientnns

Computational fluid dynamics (CFD) has risen to become one of the most essential tools in engineering design. However, significant progress is still to be made in high-performance, low-latency post-processing techniques. For this work, we concentrated on one specific aspect of particle tracing techniques. Particle tracing techniques are important for both processing and post-processing steps as both certain physics models and visualization techniques require it. For the present work, we focus on accelerating nearest neighbor searches which are required for efficient, on-demand interpolation at arbitrary locations. We present two validation domains and begin by assessing the performance of three approaches. The fastest pair is selected for a more computationally intensive benchmark simulating the order of magnitude of searches required for a single particle tracking experiment. The three methods include our naive approach which assumes a flat array (i.e. a tree with depth 1) and two octree search approaches, depth-first and best-first search. Best first search provides the best overall results improving our existing algorithm by at least 3 orders of magnitude. Given the fuzzy nature of the problem (we deal with floating point comparisons), we require an algorithm capable of exploiting spatial locality and provide a "good enough" solution in a minimal amount of time. The best-first search algorithm provides this compromise on the types of problems we deal with.

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

getting-and-cleaning-data

ihpcss_programming_challenge_2021

Repository containing everything you need to participate to the International HPC Summer School programming challenge :)

inme4012_finalproject_profdooner

Machine Element Design Project Code

ipython-parallel-tutorial

tutorial materials for IPython.parallel

j58enginethermalmodel

Thermal Modeling for a P&W J58 Engine

keras-multi_experiment

Framework for running multiple Keras Experiments on Multiple GPUs locally while performing Bayesian Optimization on Commet.ML

lagares-corp

nptdms

NumPy based Python module for reading TDMS files produced by LabView

particles2

particle generation for granular material simulations with peridynamics

pdpy

Simple parallel peridynamics code

platepaper

Collaborative Paper on Peridynamic Plates

playground

Play with neural networks!

playgrounds

A collection of playgrounds for teaching Swift programming concepts.

practical-machine-learning

JHU Data Science - Practical Machine Learning

presentations

Short, topic-focused instructor presentations that illustrate iOS and Swift concepts.

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

pyquante2

Python Quantum Chemistry Reloaded. This is a rewrite of the standard PyQuante program to clean up things that have been nagging me.

raytracinginoneweekend

A multi-core and multi-GPU implementation of Ray Tracing in a Weekend by Peter Shirley using OpenMP and CUDA.

regression-models