COE HPC

Bring High Performance Computing to Everyone in College of Engineering at Texas A&M University!

Bring-Your-Own-Code (BYOC) Workshop

About BYOC Workshop

Bring-Your-Own-Code (BYOC) workshop is designed to provide a free service for Aggie researchers to talk with an experienced team of computational scientists to prepare their scientific or engineering applications for high performance computing systems. Some statistics and a list of attendees from our past BYOC workshops can be found on this page.

Location & Registration

The localtion of the workshop is in 235-I WEB (AggieMap) and the registration is open We are looking forward to seeing you at one of our BYOC workshops!

Statistics of BYOC Projects (Feb 2017 – )




BYOC Attendees (Feb 2017 – )

Time Place Attendee Department Description
11/01/2018 WEB 235I Xueqin Huang Department of Materials Science & Engineering We worked on a python code on material modeling and simulations. The python script uses GPUs to accelerate numerical computation via the numba package. We resolved some issues to make the code run on Ada.
10/15/2018 WEB 235I Kotaro Anno Department of Petroleum Engineering We worked on a Julia code on reservoir simulation. The goal is to leverage the latest Julia programming language to enable quick turnaround while calling efficient solvers written in Fortran.
10/11/2018 WEB 235I Gabrielle Obkirchner Department of Geology We are looking into a python script to visualize aquifer drawdown around oil/gas water pumping wells in ArcGIS. Using the output, the user will be able to create a severity index of affected surrounding wells from other sectors.
10/04/2018 WEB 235I Michael Jochum Department of Plant Pathology and Microbiology We discussed the ideas to use Tensorflow to build a deep learning model to improve the basecalling of Oxford nanopore technologies raw reads.
04/26/2018 WEB 235I Rania Labib Department of Architecture Using python scripts to do data analysis for architectural design.
03/08/2018 WEB 235I Laisha Prakash Department of Electrical and Computer Engineering Our aim is to improve sensor fusion methods for which we are setting up the starting point of our platform. It involves use of Kitti benchmark. We discussed the code and tried to install it on HPRC systems.
01/18/2018 WEB 235I Hao Su Department of Computer Science and Engineering General discussion on GPU programming and HPC at TAMU.
11/08/2017 WEB 235I Hyun Yoon Department of Petroleum Engineering The project is about an FEM code for large scale reservoir simulations. We investigated some parallelization strategies about solving linear algebraic equations of the FEM code using PETSc or other solvers.
11/01/2017 WEB 235I Yu Zhang Department of Biological and Agricultural Engineering The project is about to quantify the uncertainty of probable maximum flood using statistical analysis and probability theory, etc. We worked on a Matlab script to import and analyze a decades-long time series of precipitation data.
09/20/2017 WEB 235I Nathanael Rosenheim Department of Landscape Architecture and Urban Planning We discussed different approaches to enhance the performance of a Python code to investigate the population distribution of a region. We will take the many-task scheme to iterate through different areas on distributed computing nodes to scale the code on big systems.
09/20/2017 WEB 235I Daijiro Kobashi Department of Oceanography We investigated parallelization and optimization stragegies for a Python-based preprocess code for an ocean forecast and hindcast system.
09/19/2017 WEB 235I Shimeng Wang Department of Finance We discussed about how to use HPRC resources for financial engineering applications.
09/19/2017 WEB 235I Martin Pospisil Department of Chemical Engineering We looked into strategies to speed up an FEM module within COMSOL for liquid crystal modeling. In addition to using an alternative solver, we discussed the potential benefit for an optimized 3D mesh which could be processed with an open source package.
09/06/2017 WEB 235I Yuhao Wang Department of Mechanical Engineering The project is about building a lattice model to use Monte Carlo simulation methods to model the coupling of thermo-mechanical transformation in Ni-Co-Mn-In Heusler Alloys. The goal is to optimize the code and potentially parallelize the code.
09/05/2017 WEB 235I Jyot Antani Department of Chemical Engineering We discussed various approaches that could help to speed up the converting process of .nd2 (Nikon movie) files recording the movement of bacteria into .mat (Matlab) files for analysis.
08/30/2017 WEB 235I Nobuo Morita Department of Petroleum Engineering We discussed parallelization strategies for an FEM code in Fortran for Petroleum Engineering. We want to leverage the computing power of HPRC resources to speed up the simulations.
08/30/2017 WEB 235I Mengying Liu Department of Materials Science & Engineering We investigated issues in running Matlab scripts for digital image correlation of samples scanned by CT on HPRC resources.
08/24/2017 WEB 235I Layal Maddah Department of Civil Engineering The goal of the project is to provide recommendations for the design of barrier-moment slab systems placed over mechanically stabilized earth walls, and subject to vehicle crash tests. The simulations are done with FEM software packages. We discussed potential strategies to automate the post-processing of the simulation results with Matlab scripts.
08/23/2017 WEB 235I Yared Dinegdae Texas A&M Engineering Experiment Station We looked into a set of Matlab scripts that predict crack initiation time by with mixture properties of
pavement materials. It will help optimize the mixture morphology on long-term pavement.
08/23/2017 WEB 235I Ibrahim Onifade Texas A&M Engineering Experiment Station We looked into at set of Matlab scripts that predict crack initiation time by with mixture properties of
pavement materials. It will help optimize the mixture morphology on long-term pavement.
08/10/2017 WEB 235I Samuel Bertolini Department of Material Science & Engineering We worked on a code to detect species in molecular dynamic simulations. The code calculates bonds type, the number of species and tries to identify a species. The code is written in c++. The goal is to enhance efficiency of the code and make it run in parallel.
08/2/2017 302 Mitchell Physics Bldg Emanuela Ene Department of Physics & Astronomy We looked into a R package called eRm (extended Rasch modeling), especially the fitcml function for analyzing the categorization of questions based on the respondent’s abilities and other characteristics.
07/12/2017 114C Henderson Hall Koushik Chatterjee Department of Chemistry​ General discussion on the parallelization of Fortran code, as well as computing and storage resources available at HPRC.
07/12/2017 309 Doherty Hall Elissa Morris Department of Mechanical Engineering Numerous folding mechanisms exist in nature and they may provide useful design inspiration for novel engineering applications.
To retrieve meaningful biological design analogies, information retrieval techniques are employed and a text-based search algorithm
is implemented in Python to return useful passages where folding mechanisms in nature are observed.
07/06/2017 WEB 235I Aline Jaimes-Hernandez Department of Ecosystem Science and Management​ We study the extreme climatic events (ECEs). The code is written in Matlab and it calculates anomalies from 30 years of daily temperature data for Texas. The code calculates the average and then substract that from each observation. The probability density function is calculated and 98 percentile is estimated.
06/27/2017 114C Henderson Hall Anuj Rekhy Department of Mechanical Engineering Dispersion relations identification using optimization techniques.
Currently using newton-descent but probably in future might use more exotic optimizers.
06/21/2017 114C Henderson Hall Rui Kou Department of Petroleum Engineering We want to simulate large scale proppant(sand) transport behavior during hydraulic fracturing treatment. The CFDEM code couples two numerical simulation methods (CFD – OpenFOAM and DEM – LIGGGHTS).
06/21/2017 114C Henderson Hall Xue Yu Department of Veterinary Pathobiology Get to learn to use tophat and other tools to align RNA-seq data to genome on HPRC systems.
06/08/2017 114C Henderson Hall Xiaopeng Sui Department of Electrical & Computer Engineering The project is clustering the human brain using resting state fMRI signals. We want to use an estimated pairwise mutual information. For each hemisphere of the brain there are approximately 24,000 voxels. I want to estimate the mutual information between each pair of the 24,000 voxels. I want to know how to speed up my code.
05/31/2017 114C Henderson Hall Gustavo Tapia Department of Industrial and Systems Engineering The code is about designing a dataset of simulations (sampling datapoints) from a computationally expensive materials model that runs in Comsol, and then fit an statistical model. This is done iteratively, in the sense that if the statistical model does not satisfy some requirements, we run another set of Comsol simulations, refit the statistical model, and do this until the requirements are met.
05/17/2017 114C Henderson Hall Venkat Srikanth Panyaram Department of Chemical Engineering To develop a packing module capable of predicting 3D structures of cylindrical particles using discrete shape representation technique to detect particle interaction with other solid entities.
05/17/2017 114C Henderson Hall Karla Gonzalez Coronado Department of Industrial and Systems Engineering The code is on quantifiable fatigue risk assessment through activity recognition. There are two objectives: 1. analyze operator’s heart rate variability (HRV) data and compare against Mearsk fatigue survey; 2. identify the parameters and machine learning techniques that best classify a person’s ambulatory status.
05/03/2017 114C Henderson Hall Iliyana Dobreva Department of Geography The research is built on an open-source python-based software. The software simulates Ground Penetrating Radar (GPR) signal in 3-D. Images in PNG format shall be processed to creates an HDF-5 file which is then used as input to the software. The image file in PNG format shows locations of different subsurface features. A 3D description of the data is necessary. Currently the data is in a point cloud format (collected from a Terrestrial Lidar Scanner).
04/16/2017 114C Henderson Hall Olufemi Olorode Department of Petroleum Engineering It is a Control-Volume Finite Element code for compositional reservoir flow simulation for petroleum engineering. A working version of the code has been successfully implemented in Matlab and the developer is working on a C++ version. The goal is to parallelize the code with MPI or leverage some existing computational framework to facilitate the development.
02/23/2017 Wisenbaker Engineering Building 202 Vahid Attari Department of Materials Science & Engineering The code is in Fortran and it has been parallelized with Openmp. The purpose of the code is to solve the coupled. Diffusion Equation and Phase Field Equation in computational material science. The solver is based on an explicit time integration scheme using finite difference methods. A Newton-Raphson root finder is called at each iteration of the main solver.