DECADES is a $5.8-million project being led by PIs from Princeton and Columbia. The project is part of an effort to create hardware and software that can be reconfigured on the fly to accelerate important applications. This project aims to keep electronics going after Moore’s Law is a thing of the past.
7-24-2018: IEEE Spectrum DARPA Picks Its First Set of Winners in Electronics Resurgence Initiative
8-15-2018: Princeton School of Engineering and Applied Science Engineering faculty funded to develop next generation computer chips
| Role | |||
|---|---|---|---|
| Principal Investigators |
Margaret Martonosi | David Wentzlaff | Luca Carloni |
| Post Docs and Associate Research Scientists |
Luwa Mathews Tyler Sorensen |
Georgios Tziantzioulis | Paolo Mantovani |
| Students | Aninda Manocha | Jonathan Balkind Ting-Jung Chang Fei Gao Paul Jackson Ang Li |
Davide Giri |
Tae Jun Ham, Juan Luis Aragon, and Margaret Martonosi, “Efficient Data Supply for Parallel Heterogeneous Architectures”, in ACM TACO, 2019 Link
Davide Giri, Paolo Mantovani, and Luca P. Carloni, “Runtime Reconfigurable Memory Hierarchy in Embedded Scalable Platforms,” In ACM Asia and South Pacific Design Automation Conference (ASPDAC). 2019. Link
Davide Giri, Paolo Mantovani and Luca P. Carloni, “Accelerators and Coherence: An SoC Perspective,” in IEEE MICRO, 2018. Link
Davide Giri, Paolo Mantovani and Luca P. Carloni, “NoC-Based Support of Heterogeneous Cache-Coherence Models for Accelerators,” in IEEE/ACM International Symposium on Networks-on-Chip (NOCS), 2018. Link
Tae Jun Ham, Juan Luis Aragon, and Margaret Martonosi, “Decoupling Data Supply from Computation for Latency-Tolerant Communication in Heterogeneous Architectures”, in ACM TACO, 2017 Link
Tae Jun Ham, Lisa Wu, Narayanan Sundaram, Nadathur Satish, and Margaret Martonosi, “Graphicionado: A High-Performance and Energy Efficient Accelerator for Graph Analytics”, In IEEE MICRO, 2016. Link
Tae Jun Ham, Juan Luis Aragon, and Margaret Martonosi, “DeSC: Decoupled Supply-Compute Communication Management for Heterogeneous Architectures”, in IEEE MICRO, 2015 Link