Professor Margaret Martonosi to Receive Prestigious 2021 Eckert-Mauchly Award
LOS ALAMITOS, Calif., 7 June 2021 - The Association for Computing Machinery (ACM) and the IEEE Computer Society (IEEE CS) have named Margaret Martonosi as the recipient of the 2021 ACM/IEEE CS Eckert-Mauchly Award. Martonosi is the Hugh Trumbull Adams ‘35 Professor of Computer Science at Princeton University.
"The committee is pleased to put forward Professor Margaret Martonosi, Princeton University, as this year’s winner of the Eckert Mauchly Award for her pioneering contributions to power-aware computing and opportunistic/mobile sensing," said Per Stenström, Chalmers University of Technology and 2021 Eckert-Mauchly Award Subcommittee Chair.
The Eckert-Mauchly Award is widely known as the computer architecture community’s most prestigious award. Martonosi is being recognized “for contributions to the design, modeling, and verification of power-efficient computer architecture.” Specifically, the Eckert-Mauchly Award honors Martonosi’s contributions, in work done with her student advisees and other co-authors, in the following areas:
“I was thrilled to hear the news about receiving the Eckert-Mauchly award,” said Margaret Martonosi. “Even more so, it is wonderful to be able to share this with the students and co-authors whose work this also honors.”
The Eckert-Mauchly Award is widely known as the computer architecture community’s most prestigious award. Martonosi is being recognized “for contributions to the design, modeling, and verification of power-efficient computer architecture.” Specifically, the Eckert-Mauchly Award honors Martonosi’s contributions, in work done with her student advisees and other co-authors, in the following areas:
- Pioneered the area of power-aware microarchitectures with early contributions that include the Wattch tool, which is widely used in the architecture community for power
- Founded the subfield of opportunistic/mobile sensing through her seminal work on the architecture of ZebraNet, a full-stack power-aware mobile computing
- Has done pivotal work on the specification and verification of microarchitectural components applied to memory consistency models and security, embodied in tools such as CheckMate, PipeCheck, and TriCheck.
Read Next






