Computational Research Technical Support (CRTS) is a specialized area of IT Services to build and support a comprehensive program to advance computational research at Georgia Southern University. That includes offering and supporting traditional high performance computing (HPC) systems, as well as systems for high throughput and data – intensive computing. The CRTS also helps researchers transition their analyses and models from the desktop to more capable and plentiful resources, providing the opportunity to explore their data and answer research questions at a scale typically not possible on desktops or departmental servers. Partnering with units like ICME as well as the NSF XSEDE program and vendors, the CRTS offers training and learning opportunities around HPC tools and technologies.
Mission
The mission of Computational Research Technical Support is to:
- Enable research and scholarship at Georgia Southern University by providing students and faculty with access to high-performance computing, data, and visualization resources.
- Provide a wide range of guidance and services to facilitate faculty led research including software development, data analytics, and parallel computing.
- Provide education, outreach, and training at Georgia Southern University.
In addition to providing access to state-of-the-art computational and visualization resources, CRTS staff, provide a wide range of services to facilitate faculty led research. This includes custom software, GUI interface development, (big) data analytics, and scientific programming support. CRTS will offers courses in high-performance computing, training and workshops in specific aspects of high-end computing.
CRTS is currently directly involved in supporting the following areas of research:
- Physics
- Biology
- Chemistry
- Computer Science
- Engineering
- Geology & Geography
- Mathematical Sciences
“Simulations taking weeks to run now become days and hours. I really appreciate what you did.”
— JingJing Yin, Assistant Professor, Department of Biostatistics, Jiann-Ping Hsu College of Public Health
Talon Cluster
| Application | Version |
|---|---|
| Anaconda2 | 2019.10 |
| Anaconda3 | 2019.10 |
| ANSYS | 2019r3 |
| ANSYS | 2020r2 |
| augustus | 3.3 |
| autoconf | 2.69 |
| bamtools | 2.6.4 |
| bayescan | 2.1 |
| bcftools | 1.10.2 |
| bedtools2 | 2.29.1 |
| blas | 3.8.0 |
| boost | 1.72.0 |
| bowtie | 1.2.2 |
| bowtie2 | 2.2.7 |
| bowtie2 | 2.3.2 |
| bowtie2 | 2.3.4.1 |
| bwa | 0.7.17 |
| BZip2 | 1.0.8 |
| cd-hit | 4.8.1-2019-0228 |
| cdhit-cluster-consensus | 2013-03-27 |
| cfour | v1 |
| cmake | 3.17.3 |
| consed | 29.0 |
| cuda | 10.2 |
| cuda | 11.4 |
| curl | 7.70.0 |
| eigen | 3.3.7 |
| fastx-toolkit | 0.0.14 |
| fftw | 3.3.8 |
| gasnet | 1.32.0 |
| GCC | 5.3.0 |
| GCC | 6.3.0 |
| GCC | 9.3.0 |
| gdal | 3.1.2 |
| gmap-gsnap | 2020-06-30 |
| GMP | 6.2.0 |
| gnu-coreutils | 8.32 |
| gnuplot | 5.2.8 |
| GSL | 2.6 |
| hdf5 | 1.10.6 |
| hdf5 | 1.12.0 |
| hisat2 | 2.1.0 |
| hmmer | 3.1b2 |
| hmmer | 3.3.1 |
| htslib | 1.10.2 |
| inotify-tools | 3.20.2.2 |
| iozone | 3_490 |
| ISL | 0.22 |
| JAGS | 4.3.0 |
| Java JDK | 1.8.0_251 |
| Java JRE | 1.8.0_251 |
| jellyfish | 2.3.0 |
| LAMMPS | 2020 October |
| libevent | 2.1.11 |
| libgtest | 1.10.0 |
| libgtextutils | 0.7 |
| libtbb2 | 2020 update 3 |
| ls | 5.32.0 |
| make | 4.3 |
| mathematica | 11.1.0 |
| MATLAB | R2019a |
| mawk | 1.3.4-20200120 |
| Modules | 4.4.1 |
| MPC | 1.1.0 |
| MPFR | 4.0.2 |
| mpich | 3.3.2 |
| mrbayes | 3.2.7a |
| Munge | 0.5.14 |
| ncbi-blast+ | 2.3.0 |
| ncbi-blast+ | 2.6.0 |
| openmpi | 4.0.4 |
| openmpi with cuda support | 4.0.4 |
| PCRE | 8.44 |
| pdsh | 2.29 |
| phantomjs | 2.1.1 |
| phrap | 1.090518 |
| plink | 1.90 |
| plink | 2.0 |
| proj | 6.3.2 |
| psi4-python27 | 1.2.1 |
| psi4-python37 | 1.3.2 |
| python | 2.7.18 |
| python | 3.5.9 |
| python | 3.7.9 |
| python | 3.8.4 |
| R | 3.6.3 |
| R | 4.1.1 |
| rclone | 1.51.0 |
| readline | 8.0 |
| RSEM | 1.3.3 |
| samtools | 1.10 |
| screen | 4.8.0 |
| siesta | 4.1-b3 |
| Slurm | 20.02.1 |
| sqlite | 3.32.3 |
| stacks | 1.37 |
| stacks | 1.44 |
| stacks | 2.3e |
| stacks | 2.55 |
| STATA | 15 |
| STATA | 17 |
| stringtie | 2.1.4 |
| Structures | 2.3.4 |
| tiff | 4.1.0 |
| tmux | 3.1b |
| TransDecoder | 5.5.0 |
| Trimmomatic | 0.36 |
| Trinity | 2.3.2 |
| Trinotate | 3.0.2 |
| vcftools | 0.1.16 |
| xz | 5.2.5 |
| ZLIB | 1.2.11 |
Getting Started
For additional questions, contact us at crts@georgiasouthern.edu.
Available Resources
Talon OnDemand
One-stop shop for cluster access, using a web browser.
- Users can manage their files, access a cluster shell session, and work inside interactive applications.
- RStudio and Jupyter Notebooks
WebMO
Submit Chemistry jobs on the cluster using software like MolPro, Orca, and Psi4.
Account Request
Apply for access to CRTS services and HPC systems.
XSEDE
The Extreme Science and Engineering Discovery Environment (XSEDE)
is supported by the National Science Foundation
- XSEDE Training – Extreme Science and Engineering Discovery Environment.
- XSEDE Course Calendar
- XSEDE Research Portal – Information about conducting research with XSEDE.
CRTS Services
Computational Cluster
CRTS maintains a Linux cluster for general-purpose computation. This cluster can also be utilized in support of unfunded research projects.
Consultation
Let us help you determine your needs prior to grant submission or other requests for funding.
Parallelization of Workloads
Parallel computing simplifies and speeds up much of the research processes by executing processes simultaneously. CRTS can help in this endeavor by analyzing software submission scripts and programs for optimal parallelization of jobs run on the cluster.
Virtual Servers
Research applications or programs that require their own server infrastructure can be supported via our virtual server infrastructure.
Data Storage
CRTS currently has about 250 TB of data storage for use by researchers across the University. In addition, we can also facilitate access to Filelocker for encrypted transfer of files between researchers.