Proceedings of the ACM SIGPLAN 1999 conference on Programming language design and implementation
Bidwidth analysis with application to silicon compilation
PLDI '00 Proceedings of the ACM SIGPLAN 2000 conference on Programming language design and implementation
Dynamic voltage scaling on a low-power microprocessor
Proceedings of the 7th annual international conference on Mobile computing and networking
BitValue Inference: Detecting and Exploiting Narrow Bitwidth Computations
Euro-Par '00 Proceedings from the 6th International Euro-Par Conference on Parallel Processing
Proceedings of the 2003 international conference on Compilers, architecture and synthesis for embedded systems
MPARM: Exploring the Multi-Processor SoC Design Space with SystemC
Journal of VLSI Signal Processing Systems
Energy Aware Computing through Probabilistic Switching: A Study of Limits
IEEE Transactions on Computers
Low-Cost Hardening of Image Processing Applications Against Soft Errors
DFT '06 Proceedings of the 21st IEEE International Symposium on on Defect and Fault-Tolerance in VLSI Systems
Probabilistic arithmetic and energy efficient embedded signal processing
CASES '06 Proceedings of the 2006 international conference on Compilers, architecture and synthesis for embedded systems
Application-Level Correctness and its Impact on Fault Tolerance
HPCA '07 Proceedings of the 2007 IEEE 13th International Symposium on High Performance Computer Architecture
A stochastic bitwidth estimation technique for compact and low-power custom processors
ACM Transactions on Embedded Computing Systems (TECS)
CASES '08 Proceedings of the 2008 international conference on Compilers, architectures and synthesis for embedded systems
CASES '09 Proceedings of the 2009 international conference on Compilers, architecture, and synthesis for embedded systems
A More Precise Model of Noise Based PCMOS Errors
DELTA '10 Proceedings of the 2010 Fifth IEEE International Symposium on Electronic Design, Test & Applications
Optimizing energy to minimize errors in dataflow graphs using approximate adders
CASES '10 Proceedings of the 2010 international conference on Compilers, architectures and synthesis for embedded systems
EnerJ: approximate data types for safe and general low-power computation
Proceedings of the 32nd ACM SIGPLAN conference on Programming language design and implementation
An approach to energy-error tradeoffs in approximate ripple carry adders
Proceedings of the 17th IEEE/ACM international symposium on Low-power electronics and design
Low Power Motion Estimation with Probabilistic Computing
ISVLSI '11 Proceedings of the 2011 IEEE Computer Society Annual Symposium on VLSI
Low Power Probabilistic Floating Point Multiplier Design
ISVLSI '11 Proceedings of the 2011 IEEE Computer Society Annual Symposium on VLSI
Inference of user-defined type qualifiers and qualifier rules
ESOP'06 Proceedings of the 15th European conference on Programming Languages and Systems
Ten Years of Building Broken Chips: The Physics and Engineering of Inexact Computing
ACM Transactions on Embedded Computing Systems (TECS) - Special Section on Probabilistic Embedded Computing
A survey of cross-layer power-reliability tradeoffs in multi and many core systems-on-chip
Microprocessors & Microsystems
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Future semiconductors no longer guarantee permanent deterministic operation. They are expected to show probabilistic behavior due to lowered voltages and shrinking structures. Compared to radiation-induced errors, probabilistic systems face increased error frequencies leading to unexpected bit-flips. Approaches like probabilistic CMOS provide methods to control error distributions which reduce the error probability in more significant bits. However, instructions handling control flow or pointers still expect deterministic operation, thus requiring a classification to identify these instructions. We apply our transient error classification to probabilistic circuits using differing voltage distributions. Static analysis ensures that probabilistic effects only affect unreliable operations which accept a certain level of impreciseness, and that errors in probabilistic components will never propagate to critical operations. To evaluate, we analyze robustness and quality-of-service of an H.264 video decoder. Using classification results, we map unreliable arithmetic operations onto probabilistic components of a simulated ARM-based architecture, while the remaining operations use deterministic components.