Email: stevca9@wfu.edu
Phone: (301) 514-1617
Wake Forest University, Information Systems - August 2017 – Present
- Managed a compute node cluster of approximately 100 nodes, featuring ~3900 cores and 19TB of RAM.
- Utilized GNU and Intel compilers to compile scientific software from source code.
- Experienced with CUDA, Tensorflow, PyTorch, OpenMPI, Python, R, and Stata.
- Experienced with the SLURM Scheduler for cluster management.
- Served as the Lead Instructor for the Introduction to High Performance Computing CSC191 course.
Wake Forest University, Dept. of Computer Science, January 2019 – Present
- Developed Amazon Web Services (AWS) solutions to support academic and research computing.
- Experienced with AWS S3, EC2, CloudFormation, Lambda, SageMaker, and Route53.
- Maintained and managed software stacks for licensed software utilized by faculty and students.
- Served as the Advisor to the Wake Forest University Student Cluster Competition Team (SC18, SC19, SC23).
Wake Forest University, Information Systems, August 2014 – August 2017
- Supported RHEL 5/6/7 OS enterprise systems for the Wake Forest University Reynolda Campus.
- Managed Google G Suite, LDAP, DNS, Apache, cPanel, TridentHE, Tomcat, and more.
- Resolved approximately 80 percent of all Remedy requests submitted to the Linux team.
- Engaged campus departments and users in a proactive and supportive manner to meet their needs.
- Used automation tools such as Ansible and Puppet to manage ~165 Linux servers.
Wake Forest University, Information Systems, Summer 2014
- Gained experience with HPC cluster administration on the Wake Forest University DEAC cluster.
- Updated CUDA language libraries on DEAC Cluster GPU compute nodes.
- Created a virtual machine test environment for cluster emulation and practiced general UNIX system administration.
- Conducted research and development of the SLURM scheduler to replace the TORQUE/MAUI scheduler on RHEL 6.
Wake Forest University, Winston-Salem, NC, December 2014
Area of Specialization: Parallel Computing
Thesis: "GPU Optimized Allosteric Communication Network Analyses of Molecular Dynamic Simulations"
Wake Forest University, Winston-Salem, NC, December 2012
Wake Forest University, Dept. of Computer Science, Fall 2012 – Fall 2014
Research Advisor: Dr. Sam Cho
- Developed C code using the CUDA library to perform Graph Theory Analysis on NVIDIA Graphics Processing Units.
- Applied Graph Analysis to Molecular Dynamic Simulations of protein folding for E. coli Methionyl-tRNA synthetase (MetRS).
- Updated Molecular Dynamic Simulation code to the latest CUDA Library version.
- Developed code for an additional algorithm utilizing the Barnes Hut approximation for N-Body Simulations.
-
An Interdisciplinary Introduction to High Performance Computing for Undergraduate Programs. Cody Stevens, Sean M. Anderson, and Adam Carlson. Journal of Computational Science Education, November 2024.
-
Integrating High Performance Computing into Higher Education and the Pedagogy of Cluster Computing. Cody Stevens, Sean M. Anderson, and Adam Carlson. Poster presented at PEARC24, July 24, 2024.
-
Molecular dynamics simulations of protein-nanoparticle biocorona formation. Li R, Stevens CA, Cho SS. Modeling, Methodologies and Tools for Molecular and Nano-scale Communications, Springer Publishing, 2014.
-
GPU-optimized hybrid neighbor/cell list algorithm for coarse-grained MD simulations of protein and RNA folding and assembly. Proctor AJ, Stevens CA, Cho SS. Proceedings of the ACM Conference on Bioinformatics, Computational Biology and Biomedicine, 2013.
-
GPU Optimized Allosteric Communication Network Analyses of Molecular Dynamic Simulations. Poster presented at the NVIDIA GPU Technology Conference, March 24-27, San Jose, California.
-
Graph Theory Analyses of Molecular Dynamic Simulations. Poster presented at the WFU Center for Molecular Communication and Signaling Research Retreat, October 11, 2013.
- Center for Molecular Communication and Signaling Research Grant (Fall 2013 - Spring 2014)
- Wake Forest University Graduate School Summer Research Grant (Summer 2013)
- Member, Association for Computing Machinery (Spring 2014 - Present)
- Member, Upsilon Pi Epsilon Honor Society (Spring 2014 - Present)
- Member, Alpha Phi Omega, Kappa Theta Chapter (Fall 2009 - Fall 2013)