Professor
Dept of Computer Science
Pennsylvania State University
W322 Westgate Building
University Park, PA 16802, USA
Phone: (814) 863-4888
Fax: (814) 865-3176
Email: mtk2 at psu.edu
Short CV

Brief Biography

Mahmut Kandemir is a professor in the Computer Science and Engineering Department at the Pennsylvania State University. He is a member of the Microsystems Design Lab. Dr. Kandemir's research interests are in optimizing compilers, runtime systems, mobile systems, embedded systems, I/O and high performance storage, non volatile processors and memory, and latest trends in public cloud services. He is the author of more than 150 journal publications and over 650 conference/workshop papers in these areas. He graduated 32 Ph.D. and 20 masters students so far, and is currently advising/coadvising 15 Ph.D. students and 5 masters students. He served in the program committees of 40 conferences and workshops. He is a member of Hall of Fame for conferences such as MICRO, ISCA and HPCA . His research is/was funded by NSF, DOE, DARPA, SRC, Intel and Microsoft. He is a recipient of NSF Career Award and the Penn State Premier Research Award. He is a Fellow of IEEE. Between 2008-2012 and 2017, he served as the Graduate Coordinator of the Computer Science and Engineering Department at Penn State.

Recent Highlights

  • Distance-in-Time versus Distance-in-Space. PLDI 2021
  • Fluid: A Framework for Approximate Concurrency via Controlled Dependency Relaxation. PLDI 2021
  • GSSA: A Resource Allocation Scheme Customized for 3D NAND SSDs. HPCA 2021
  • Compiler support for near data computing. PPoPP 2021
  • Prolonging 3D NAND SSD lifetime via read latency relaxation. ASPLOS 2021
  • Centaur: A Novel Architecture for Reliable, Low-Wear, High-Density 3D NAND Storage, POMACS 2020
  • DSM: A Case for Hardware-Assisted Merging of DRAM Rows with Same Content., POMACS 2020
  • Fair Write Attribution and Allocation for Consolidated Flash Cache. ASPLOS 2020
  • ResiRCA: A Resilient Energy Harvesting ReRAM Crossbar-Based Accelerator for Intelligent Embedded Processors. HPCA 2020
  • Déjà View: Spatio-Temporal Compute Reuse for' Energy-Efficient 360° VR Video Streaming. ISCA 2020