Maciej Brodowicz

Research Scientist
mbrodowi@indiana.edu

 

Educational Background

  • Ph.D., 1998, Computer Science, University of Houston
  • M.S., 1994, Computer Science, University of Houston
  • M.M.E., 1991, Electrical Engineering, Warsaw University of Technology, Poland

Research Interests

  • Advanced Computer Architecture
  • Parallel Models of Execution
  • Operating and Runtime Systems
  • Parallel Applications
  • Performance Evaluation and Monitoring
  • Scalable I/O and Big Data
  • High-Productivity Programming Environments

Recent Research Projects

  • Simultac: a non-von Neumann Exascale computing architecture
  • PXFS: ParalleX Based Transfromative I/O System for Big Data
  • PXRT: Real-Time Semantics for the ParalleX Execution Model to Enable Single-Image Multicore Embedded Computing

Recent Publications

  • T. Sterling, M. Anderson, and M. Brodowicz. High Performance Computing: Modern Systems and Practices. Morgan Kaufmann Publishers, 2018
  • M. Anderson, M. Brodowicz, M. Swany, and T. Sterling. Accelerating the 3-D FFT Using a Heterogeneous FPGA Architecture. Best paper of the Euro-Par 10th Workshop on the UnConventional High Performance Computing (UCHPC 2017), 2017
  • M. Brodowicz and T. Sterling. Simultac Fonton: A Fine-Grain Architecture for Extreme Performance beyond Moore’s Law. In Supercomputing Frontiers and Innovations, 4(2), 2017
  • T. Sterling, M. Anderson, and M. Brodowicz. A Survey: Runtime Systems for High Performance Computing. In Supercomputing Frontiers and Innovations, 4(1), 2017
  • T. Sterling, M. Brodowicz, D. Kogler, and M. Anderson. Asymptotic Computing – Undoing the Damage. In New Frontiers in High Performance Computing and Big Data, IOS Press, vol.30, 2017