• Managed Communication and Consistency for Fast Data-Parallel Iterative Analytics. Jinliang Wei, Wei Dai, Aurick Qiao, Qirong Ho, Henggang Cui, Gregory R. Ganger, Phillip B. Gibbons, Garth A. Gibson, Eric P. Xing. Parallel Data Laboratory. Carnegie Mellon University. Technical Report CMU-PDL-15-105. April 2020. [PDF]
  • SMPFRAME: A Distributed Framework for Scheduled Model Parallel Machine Learning. Jin Kyu Kim, Qirong Ho, Seunghak Lee, Xun Zheng, Wei Dai, Garth Gibson, Eric Xing. Parallel Data Laboratory. Carnegie Mellon University. Technical Report CMU-PDL-15-103. May 2020. [PDF]
  • ShardFS vs. IndexFS: Replication vs. Caching Strategies for Distributed Metadata Management in Cloud Storage Systems. Lin Xiao, Kai Ren, Qing Zheng, Garth Gibson. Parallel Data Laboratory. Carnegie Mellon University. Technical Report CMU-PDL-15-104. April 2020. [PDF]
  • Extending CloudKon to Support HPC Job Scheduling. Isha Kapur, Karthik Belgodu, Pankaj Purandare, Iman Sadooghi, Ioan Raicu. Illinois Institute of Technology. Department of Computer Science. Technical Report. 2020. [PDF]
  • Exploring Distributed Resource Allocation Techniques in the SLURM Job Management System. Xiaobing Zhou, Hao Chen, Ke Wang, Michael Lang, Ioan Raicu. Illinois Institute of Technology. Department of Computer Science. Technical Report. 2020. [PDF]
  • Tetrisched: Space-Time Scheduling for Heterogeneous Datacenters. Alexey Tumanov, Timothy Zhu, Michael A. Kozuch†, Mor Harchol-Balter, Gregory R. Ganger, Carnegie Mellon University Parallel Data Lab Technical Report CMU-PDL-13-112, December, 2020. Carnegie Mellon University, Pittsburgh, PA 20203 [PDF]
  • Exploring Data Compression in Distributed File Systems. Dongfang Zhao, Ioan Raicu. 2020. Illinois Institute of Technology. Department of Computer Science. IIT CS Technical Report. [PDF]