Data-Intensive Scalable Computing Laboratory (DISCL)

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  • DISCL 2016 APRIL

  • DISCL 2015 APRIL

Mission Statement

The Data-Intensive Scalable Computing Laboratory (DISCL) at the Texas Tech University has broad research interests in parallel and distributed computing, high-performance computing, cloud computing, computer architectures, and systems software with a focus on building scalable computing systems for data-intensive applications in high-performance scientific computing/high-end enterprise computing.


  • November 2019, Ph.D. student Wei Zhang attended SC'19 in Denver, CO and presented his research study “MIQS: Metadata Indexing and Querying Service for Self-describing File Formats”. Slides Video
  • July 2019, Ph.D. student Misha Ahmadian won the Best Student Poster Award at PEARC'19 for the research study of “Reducing Faulty Jobs by Job Submission Verifier in Grid Engine”. Congratulations to him!
  • May 2019, We are organizing The 3rd Industry/University Joint International Workshop on Data-Center Automation, Analytics, and Control (DAAC) at SC'19 in Denver, CO. Please consider to make submissions of your high-quality research work there.
  • November 2018, Ph.D. student Wei Zhang attended PACT'18 in Limassol, Cyprus and presented two research studies “DART: Distributed Adaptive Radix Tree for Efficient Affix-based Keyword Search on HPC Systems” and “Attributed Consistent Hashing for Heterogeneous Storage Systems”.
  • October 2018, We received an award from the National Science Foundation (NSF) to work on data-driven science and data management R&D for a project Empowering Data-driven Discovery with a Provenance Collection, Management, and Analysis Software Infrastructure.
  • August 2018, Ph.D. students Wei Zhang, Xi Wang, Daniel Dunning, Wei Xie, and undergraduate student Felix Perez completed their internships with Lawrence Berkeley National Lab, Pacific Northwest National Lab, Los Alamos National Lab, VMware, NIST, respectively. Congratulations to them!
  • August 2018, Dr. Dai joined University of North Carolina at Charlotte as a tenure-track Assistant Professor. Congratulations to him!
  • August 2018, Dr. Chen and Mr. Xi Wang attended The 47th International Conference on Parallel Processing (ICPP) conference in Eugene, Oregon and presented two research studies. Mr. Wang also received an NSF travel award for attending the conference.
  • August 2018, Drs. Chen and Dai received an award from the National Science Foundation (NSF) to work on Tuning Extreme-scale Storage Stack through Deep Learning in collaboration with Dr. Bao of ISU.
  • July 2018, Ph.D. student Wei Zhang attended Cloud'18 in San Francisco, CA and presented a research study on I/O Characteristics Discovery in Cloud Storage Systems on behalf of Dr. Zhou.
  • July 2018, We are hosting The 2nd International Industry/University Workshop on Data-center Automation, Analytics, and Control, which will be held on Monday, Nov. 12th, 2018 at the 2018 ACM/IEEE Supercomputing Conference (SC'18) in Dallas, TX. Please consider making your high-quality submissions there
  • June 2018, Dr. Chen attended The ACM 27th International Symposium on High-Performance Parallel and Distributed Computing (HPDC'18) and co-chaired the poster program.
  • May 2018, Mr. Wei Zhang and Dr. Chen attended The 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid) in Washington D.C. and Mr. Zhang presented a research study on graph partitioning and graph storage systems. Slides,Video
  • April 2018, Ph.D. student Mr. Xi Wang received the prestigious Helen DeVitt Jones Excellence in Graduate Teaching Award. Congratulations to him!
  • April 2018, Dr. Dai received the prestigious NSF CRII award on Partitioning Large Graphs in Deep Storage Architecture. Congratulations to him!
  • January 2018, Ph.D. student Mr. Frank Conlon joined Computer Science department as an instructor. Congratulations to him!