NanoScale Computing Project
Application Specific NanoComputing Systems
- Exploring the Unprecedented Computation Power, Capabilities, and Limits of Nanoelectronics
- Delivering Ultra-High Performance, Robustness, and Scalability
- Exposing New Forms of Parallelism and New Reliability-Performance Trade-offs
- Exploiting Novel Uncertainty Management Techniques
Principal Investigators:
Margarida Jacome
and
Gustavo de Veciana
Dept. of Electrical and Computer Engineering, U.T. Austin
Collaborators:
Brian Korgel
Dept. of Chemical Engineering, U.T. Austin
Paulo Ferreira
Material Science and Engineering Program, U.T. Austin
Graduate Students:
Chen He ,
Steve Bijansky, and
Hugo Andrade
Dept. of Electrical and Computer Engineering, U.T. Austin
Support
This project is partially supported by
SRC
Publications
Defect tolerant probabilistic design paradigm for nanotechnologies.
M. Jacome, C. He, G. de Veciana, and S. Bijansky.
In
Proc. IEEE/ACM Design Automation Conference (DAC) ,
pages 1-6, 2004. To appear.
General Purpose NanoComputing Systems
Novel Reliability-Aware Performance Enhancing Microarchitectural Techniques
Blue bars show the IPC (Instructions Per Cycle) for a machine with reliability-aware microarchitectural techniques.
Red bars show the IPC for a machine without these techniques. For each benchmark 6 different technology scalings
were simulated. The technologies are sorted in decreasing reliability order. We observe that reliability-aware
microarchitectures are necessary to sustain performance as the probability of errors increases.
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Principal Investigators:
Margarida Jacome
and
Gustavo de Veciana
Dept. of Electrical and Computer Engineering, U.T. Austin
Graduate Students:
Elias Mizan and
Andrey Zykov
Support:
This project is partially supported by
NSF Foundations of Computing Processes and Artifacts Cluster
Publications
Links
Center for nano- & molecular science and technology (CNM) for
ongoing interdisciplinary U.T. based reserach in this area and pointers to activities elsewhere.