Faculty Profiles

Tuttle, J. F., Chen, D., Nasrin, A., Soto, N., & Zong, Z. (2024). Can LLMs Generate Green Code - A Comprehensive Study Through LeetCode.

Nasrin, A., Chen, D., Soto, N., & Zong, Z. (2024). Promoting Green Coding in VS Code with GCPM: A Power Model for Heterogeneous Processors.

Chen, D. Y., Soto, N., Tuttle, J. F., & Zong, Z. L. (2024). Understanding Multi-Dimensional Efficiency of Fine-Tuning Large Language Models Using SpeedUp, MemoryUp, and EnergyUp.

Everman, B., Chen, D. Y., Soto, N., Zhang, O., & Zong, Z. L. (2023). Evaluating the Carbon Impact of Large Language Models at the Inference Stage.

Hwang, N., Li, A., Zhang, S., & Zong, Z. L. (2023). Reducing Cloud Expenditures and Carbon Emissions via Virtual Machine Migration and Downsizing.

Song, A., Chen, D. Y., & Zong, Z. L. (2023). Unveiling the Truth: An Analysis of the Energy and Carbon Footprint of Training an OPT Model using DeepSpeed on the H100 GPU.

Biswas, D., Rahman, M. M. M., Zong, Z., & Tesic, J. (2022). Improving the Energy Efficiency of Real-time DNN Object Detection via Compression, Transfer Learning, and Scale Prediction. IEEE.

Shang, Y., Xu, D., Duan, B., Zong, Z., Nie, L., & Yan, Y. (2022). Lipschitz Continuity Retained Binary Neural Network.

Shang, Y., Xu, D., Zong, Z., Nie, L., & Yan, Y. (2022). Network Binarization via Contrastive Learning.

Bhandari, K., Duan, B., Liu, G., Latapie, H., Zong, Z., & Yan, Y. (2022). Learning Omnidirectional Flow in 360° Video via Siamese Representation.

Blakeney, C., Atkinson, G., Huish, N., Yan, Y., Metsis, V., & Zong, Z. (2022). Measuring Bias and Fairness in Multiclass Classification.

Ford, B., & Zong, Z. (2022). A Cost Effective Framework for Analyzing Cross-Platform Software Energy Efficiency. Journal of Sustainable Computing (SUSCOM).

Shang, Y., Duan, B., Zong, Z., Nie, L., & Yan, Y. (2022). Win the Lottery Ticket via Fourier Analysis: Frequencies Guided Network Pruning.

Everman, B., Gao, M., & Zong, Z. (2022). Evaluating and Reducing Cloud Waste and Cost - A Data-Driven Case Study from Azure Workloads. Journal of Sustainable Computing (SUSCOM).

Shang, Y., Duan, B., Zong, Z., Nie, L., & Yan, Y. (2021). Lipschitz Continuity Guided Knowledge Distillation.

Lujan, M., McCrary, M., Ford, B., & Zong, Z. (2021). Vulkan vs OpenGL ES: Performance and Energy Efficiency Comparison on the big.LITTLE Architecture.

Ford, B., Qasem, A., Tesic, J., & Zong, Z. (2021). Migrating Software from x86 to ARM Architecture: An Instruction Prediction Approach.

Ford, B., Qasem, A., Tesic, J., & Zong, Z. (2021). Migrating Software from x86 to ARM Architecture: An Instruction Prediction Approach. Retrieved from 601 University Dr

Ford, B. W., Qasem, A. M., Tesic, J., & Zong, Z. (2021). Migrating Software from x86 to ARM Architecture: An Instruction Prediction Approach. In 2021 IEEE International Conference on Networking, Architecture and Storage (NAS) (pp. 1–6). IEEE. https://doi.org/10.1109/nas51552.2021.9605443

Blakeney, C. J., Li, X., Yan, Y., & Zong, Z. (2021). Parallel Blockwise Knowledge Distillation for Deep Neural Network Compression. IEEE Transactions on Parallel and Distributed Computing (TPDS), 32, 1765–1776.

Saraiva, J., Zong, Z., & Pereira, R. (2021). Bringing Green Software to Computer Science Curriculum - Perspectives from Researchers and Educators.

Everman, B., Rajendran, N., Li, X., & Zong, Z. (2021). Improving the Cost Efficiency of Large-scale Cloud Systems Running Hybrid Workloads - A Case Study of Alibaba Cluster Traces. Journal of Sustainable Computing (SUSCOM). https://doi.org/https://doi.org/10.1016/j.suscom.2021.100528

Ford, B. W., & Zong, Z. (2021). PortAuthority: Integrating Energy Efficiency Analysis into Cross-Platform Development Cycles via Dynamic Program Analysis. Journal of Sustainable Computing (SUSCOM). https://doi.org/https://doi.org/10.1016/j.suscom.2021.100530

Duan, B., Wang, W., Zong, Z., Guowei Yang, & Yan Yan. (2021). Audio-Visual Event Localization via Recursive Fusion by Joint Co-Attention.

Bhandari, K., Zong, Z., & Yan, Y. (2021). Revisiting Optical Flow Estimation in 360 Videos.

Blakeney, C., Li, X., Yan Yan, & Zong, Z. (2020). Craft Distillation: Layer-wise Training and Replacement Model Distillation.

Bhandari, K., DeLaGarza, M. A., Zong, Z., Latapie, H., & Yan, Y. (2020). Egok360: A 360 Egocentric Kinetic Human Activity Video Dataset.

Wang, J. H., Qiu, M. K., Guo, B., & Zong, Z. L. (2020). Phase–Reconfigurable Shuffle Optimization for Hadoop MapReduce. IEEE Transactions on Cloud Computing (TCC), 8(2), 418–431.

Blakeney, C., Yan, Y., & Zong, Z. (2020). Is Pruning Compression?: Investigating Pruning Via Network Layer Similarity.

Li, X., Blakeney, C. J., & Zong, Z. (2020). Transfer Learning with Fine-grained Sparse Networks: From an Efficient Network Perspective.

Li, X., Xu, G., Fan, H., Lu, H., Tang, B., & Zong, Z. (2019). Improving Read Performance of LSM-tree based KV Stores via Dual Grained Caches.

Mahajan, D., Blakeney, C., & Zong, Z. (2019). Improving the Energy Efficiency of Relational and NoSQL Databases via Query Optimizations. Journal of Sustainable Computing (SUSCOM), Vol. 22, 120–133.

Lujan, M., Baum, M., Chen, D. Y., & Zong, Z. L. (2019). Evaluating the Performance and Energy Efficiency of OpenGL and Vulkan on a Graphics Rendering Server.

Everman, B., & Zong, Z. L. (2018). GreenWeb: Hosting High-Load Websites Using Low-Power Servers. Pittsburgh.

Zong, Z., Ge, R., & Gu, Q. (2017). Marcher: A Heterogeneous System Supporting Energy-Aware High Performance Computing and Big Data Analytics. Big Data Research.

Mahajan, D., & Zong, Z. L. (2017). Energy Efficiency Analysis of Query Optimizations on MongoDB and Cassandra.

Maleki, S., Fu, C. J., Banotra, A., & Zong, Z. L. (2017). Understanding the Impact of Object Oriented Programming and Design Patterns on Energy Efficiency.

Zong, Z., & Gu, Q. (2016). GreenSoft. Retrieved from https://greencode.cs.txstate.edu/

Chen, X. B., & Zong, Z. L. (2016). Android App Energy Efficiency: The Impact of Language, Runtime, Compiler and Implementation.

Li, D., Chen, X. B., Becchi, M., & Zong, Z. L. (2016). Evaluating the Energy Efficiency of Deep Convolutional Neural Networks on CPUs and GPUs.

Gai, K. K., Qiu, M. K., Zhao, H., Tao, L. X., & Zong, Z. L. (2016). Dynamic Energy-Aware Cloudlet-based Mobile Cloud Computing Model for Green Computing. Journal of Network and Computer Applications (JNCA), 59, 46–54. https://doi.org/Dynamic Energy-Aware Cloudlet-based Mobile Cloud Computing Model for Green Computing

Qiu, M. K., Ming, Z., Li, J. Y., Gai, K. K., & Zong, Z. L. (2015). Phase-Change Memory Optimization for Green Cloud with Genetic Algorithm. IEEE Transactions on Computers (TC), 64(12), 3528–3540. https://doi.org/10.1109/TC.2015.2409857

Qiu, M. K., Chen, Z., Niu, J. W., Zong, Z. L., Quan, G., Qin, X., & Yang, L. T. (2015). Data Allocation for Hybrid Memory with Genetic Algorithm. IEEE Transactions on Emerging Topics in Computing, 3(4), 544–555. https://doi.org/10.1109/TETC.2015.2398824

LaKomski, D., Zong, Z. L., Jin, T. D., & Ge, R. (2015). Optimal Balance between Energy and Performance in Hybrid Computing Applications.

Abdulsalam, S., Zong, Z. L., Gu, Q. J., & Qiu, M. K. (2015). Using the Greenup, Powerup, and Speedup Metrics to Evaluate Software Energy Efficiency.

Gupta, A., Gupta, S., Ge, R., & Zong, Z. L. (2015). CRUSH: Data Collection and Analysis Framework for Power Capped Data Intensive Computing.

Rahman, S., Zong, Z. L., & Qasem, A. (2015). Investigating Prefetch Potential on the Xeon Phi with Autotuning.

Xu, L., Mitra-Behura, S., Alston, B., Zong, Z. L., & Sun, S. Y. (2015). Identifying DNA Methylation Variation Patterns to Obtain Potential Breast Cancer Biomarker Genes. International Journal of Biomedical Data Mining, 4(1). https://doi.org/10.4172/2090-4924.1000115

Rahman, S., Burtscher, M., Zong, Z. L., & Qasem, A. (2015). Maximizing Hardware Prefetch Effectiveness with Machine Learning.

Zong, Z. L. (2015). Managing, and Analyzing Big Satellite Data - Experiences and Lessons Learned from a Real-World Application. In Big Data Algorithms, Analytics, and Applications.

Abdulsalam, S., Lakomski, D., Gu, Q. J., Jin, T. D., & Zong, Z. L. (2014). Program Energy Efficiency: The Impact of Language, Compiler and Implementation Choices.

Wood, J., Zong, Z. L., Gu, Q. J., & Ge, R. (2014). Energy and Power Characterization of Parallel Programs Running on Intel Xeon Phi.

Olsen, S., Romoser, B., & Zong, Z. L. (2014). SQLPhi: A SQL-Based Database Engine for Intel Xeon Phi Coprocessors.

Ge, R., Feng, X. Z., Burtscher, M., & Zong, Z. L. (2014). Performance and Energy Modeling for Cooperative Hybrid Computing.

Zong, Z. L., Fares, R., Romoser, B., & Wood, J. (2014). FastStor: Improving Performance of A Large Scale Hybrid Storage System via Caching and Prefetching. Journal of Cluster Computing, 17(2), 593–604. https://doi.org/10.1007/s10586-013-0304-5

Li, T., Chen, L. X., Chen, Z. Z., Zong, Z. L., Ge, R., & Li, D. (2014). DAEMON: Distributed Adaptive Energy-efficient Matrix-multiplicatiON.

Burtscher, M., Zecena, I., & Zong, Z. L. (2014). Measuring GPU Power with the K20 Built-in Sensor.

Zecena, I., Burtscher, M., Jin, T. D., & Zong, Z. L. (2013). Evaluating the Performance and Energy Efficiency of N-Body Codes on Multi-Core CPUs and GPUs.

Li, T., Chen, Z. Z., Zong, Z. L., Ge, R., & Li, D. (2013). A2E: Adaptively Aggressive Energy Efficient DVFS Scheduling for Data Intensive Applications.

Ge, R., Vogt, R., Majumder, J., Alam, A., Burtscher, M., & Zong, Z. L. (2013). Effects of Dynamic Voltage and Frequency Scaling on a K20 GPU.

Tan, L., Chen, L. X., Chen, Z. Z., Zong, Z. L., & Ge, R. (2013). Improving Performance and Energy Efficiency of Matrix Multiplication via Pipeline Broadcast.

Zong, Z. L., Bush, J., Ge, R., Li, X., & Chen, Z. Z. (2013). Energy-Efficient Scheduling for Multicore Systems with Bounded Resources.

Wood, J., Romoser, B., Zecena, I., & Zong, Z. L. (2013). B-MAPS: A Self-Adaptive Resource Scheduling Framework for Heterogeneous Cloud Systems.

Jin, T. D., Zong, Z. L., Yu, Y., & Wang, P. (2013). Performance Monitoring and Assessment of Electronics Systems using Limited Off-line Data.

Zhao, Y. H., Li, X., Jia, Z. P., Ju, L., & Zong, Z. L. (2013). Dependency-Based Energy-Efficient Scheduling for Homogeneous Multi-core Clusters.

Wirtz, T., Ge, R., Zong, Z. L., & Chen, Z. Z. (2013). Characterizing Power and Energy Consumption of MapReduce Data Movements.

Romoser, B., Fares, R., Janovics, P., Ruan, X. J., Qin, X., & Zong, Z. L. (2012). Global Workload Characterization of A Large Scale Satellite Image Distribution System.

Ruan, X. J., Zong, Z. L., Alghamdi, M. I., Tian, Y., Jiang, X., & Qin, X. (2012). Improving Write Performance by Enhancing Internal Parallelism of Solid State Drives.

Zong, Z. L., & Romoser, B. (2012). Architecture Design of A Data Intensive Satellite Image Processing and Distribution System.

Romoser, B., Fares, R., Janovics, P., & Zong, Z. L. (2012). Characterizing Global User Download Behavior on A Large-Scale Satellite Image Distribution System.

Chen, L. X., Wu, P., Chen, Z. Z., Ge, R., & Zong, Z. L. (2012). Energy Efficient Parallel Matrix-Matrix Multiplication for DVFS-Enabled Clusters.

Ge, R., Feng, X. Z., Wirtz, T., Zong, Z. L., & Chen, Z. Z. (2012). eTune: A Power Analysis Framework for Data-Intensive Computing.

Zhang, X. S., Izaurralde, R. C., Zong, Z. L., Zhao, K. K., & Thomson, A. M. (2012). Evaluating the Efficiency of a Multi-core Aware Multi-objective Optimization Tool for Calibrating the SWAT Model. Transactions of the American Society of Agricultural and Biological Engineers, 55(5), 1723–1731. https://doi.org/10.13031/2013.42363

Fares, R., Romoser, B., Zong, Z. L., Nijim, M., & Qin, X. (2012). Performance Evaluation of Traditional Caching Policies on A Large System with Petabytes of Data.

Zecena, I., Zong, Z. L., Ge, R., Jin, T. D., Chen, Z. Z., & Qiu, M. K. (2012). Energy Consumption Analysis of Parallel Sorting Algorithms Running on Multicore Systems.

Li, X., Ping, J. Z., Ju, L., Zhao, Y. H., & Zong, Z. L. (2012). Energy-Aware Scheduling for Precedence Constrained Parallel Tasks on Homogeneous Clusters. Chinese Journal of Computers, 35(3), 591–602.

Zhang, X. S., Liang, F., Yu, B. B., & Zong, Z. L. (2011). Explicitly Integrating Parameter, Input, and Structure Uncertainties into Bayesian Neural Networks for Probabilistic Hydrologic Forecasting. Journal of Hydrology, 409(3), 696–709.

Bush, J., Kane, M., Segrud, K., Fick, D., & Zong, Z. L. (2011). An Interactive Approach to Renewable Energy Research and Education.

Kowalski, T., Israel, K., Sreedharan, A., & Zong, Z. L. (2011). Mobile Learning Experience in the Calculus Classroom.

Standart, G. D., Stulken, K. R., Zhang, X. S., & Zong, Z. L. (2011). Vis-EROS: Geospatial Visualization of Global Satellite Images Download Requests in Google Earth. Journal of Environmental Modelling & Software, 26(7), 980–982.

Zong, Z. L., Qin, X., Ruan, X. J., & Nijim, M. (2011). Heat-Based Dynamic Data Caching: A Load Balancing Strategy for Energy-Efficient Parallel Storage Systems with Buffer Disks.

Zong, Z. L., Manzanares, A., Ruan, X. J., & Qin, X. (2011). EAD and PEBD: Two Energy-Aware Duplication Scheduling Algorithms for Parallel Tasks on Homogeneous Clusters. IEEE Transactions on Computers, 60(3), 360–374.

Nijim, M., Zong, Z. L., Bellam, K., Yin, S., & Qin, X. (2011). Quality of Security Adaptation in Parallel Disk Systems. Journal of Parallel and Distributed Computing, 71(2), 288–301.

Yin, S., Alghamdi, M. I., Ruan, X. J., Nijim, M., Tamilarasan, A., Zong, Z. L., … Yang, Y. M. (2010). Improving Energy Efficiency and Security for Disk Systems.

Lin, J. Y., Qiu, M. K., Niu, J. W., Gao, W. Z., Zong, Z. L., & Qin, X. (2010). Feedback Dynamic Algorithms for Preemptable Job Scheduling in Cloud Systems.

Nijim, M., Zong, Z. L., Qin, X., & Nijim, Y. (2010). Multi-layer Prefetching for Hybrid Storage Systems: Algorithms, Models, and Evaluations.

Zong, Z. L. (2010). Improve Energy-Efficiency of Computational Grids. In Handbook of Research on P2P and Grid Systems for Service-Oriented Computing: Models, Methodologies and Applications.

Ruan, X. J., Manzanares, A., Yin, S., Zong, Z. L., & Qin, X. (2009). Performance Evaluation of Energy-Efficient Parallel I/O Systems with Write Buffer Disks.

Ruan, X. J., Manzanares, A., Bellam, K., Qin, X., & Zong, Z. L. (2009). DARAW: A New Write Buffer to Improve Parallel I/O Energy-Efficiency.

Qin, X., Alghamdi, M., Nijim, M., Zong, Z. L., Ruan, X. J., Bellam, K., & Manzanares, A. (2008). Improving Security of Real-Time Wireless Networks Through Packet Scheduling. IEEE Transactions on Wireless Communications, 7(9), 3273–3279.

Nijim, M., Qin, X., Zong, Z. L., Ruan, X. J., & Bellam, K. (2008). Security-Aware Cache Management for Cluster Storage Systems.

Zong, Z. L., Nijim, M., & Qin, X. (2008). Energy-Efficient Scheduling for Parallel Applications on Mobile Clusters. Journal of Cluster Computing, 11(1), 91–113. https://doi.org/10.1007/s10586-007-0044-5

Zong, Z. L., Bellam, K., Qin, X., & Yang, Y. M. (2007). A Simulation Framework for Energy Efficient Data Grids.

Zong, Z. L., Qin, X., Nijim, M., Ruan, X. J., Bellam, K., & Alghamdi, M. (2007). Energy-Efficient Scheduling for Parallel Applications Running on Heterogeneous Clusters.

Ruan, X. J., Qin, X., Nijim, M., Zong, Z. L., & Bellam, K. (2007). An Energy-Efficient Scheduling Algorithm Using Dynamic Voltage Scaling for Parallel Applications on Clusters.

Bellam, K., Vudata, K., Qin, X., Nijim, M., Zong, Z. L., & Ruan, X. J. (2007). Integrating Security and Reliability using Non-Uniform Checkpoints.

Nijim, M., Zong, Z. L., & Qin, X. (2007). StReD : A Quality of Security Framework for Storage Resources in Data Grids. Future Generation Computer Systems: The Int’l Journal of Grid Computing, 23(6), 816–824.

Zong, Z. L., Briggs, M. E., O’Connor, N. W., Qin, X., Alghamdi, M., & Yang, Y. M. (2007). Design and Performance Analysis of Energy-Efficient Parallel Storage Systems.

Bellam, K., Zong, Z. L., Alghamdi, M., Nijim, M., & Qin, X. (2007). Integrating Fault Recovery and Quality of Security in Real-time Systems.

Qin, X., Alghamdi, M., Zong, Z. L., & Nijim, M. (2007). Scheduling of Periodic Packets in Energy-Aware Wireless Networks.

Zong, Z. L., Briggs, M. E., Connor, N. W., & Qin, X. (2007). An Energy-Efficient Framework for Large-Scale Parallel Storage Systems.

Zong, Z. L., Nijim, M., Alghamdi, M., & Qin, X. (2006). HAGEES: A High Availability Guaranteed Energy-Efficient Scheduling Strategy for High-Performance Clusters.

Zong, Z. L., Manzanares, A., Stinar, B., & Qin, X. (2006). Energy-Efficient Duplication Strategies for Scheduling Precedence Constrained Parallel Tasks on Clusters.

Nijim, M., Xie, T., Zong, Z. L., & Qin, X. (2006). An Adaptive Strategy for Secure Distributed Disk Systems.

Bi, W. X., Wang, X. G., Zong, Z. L., & Tang, Z. (2004). Modified Error Function with Added Terms for Backpropagation Algorithm.

Chen, X. M., Tang, Z., Xu, X. S., Li, S. S., Xia, G. P., Zong, Z. L., & Wang, J. H. (2004). A Hopfield Network Learning for Minimum Vertex Cover Problem.