The performance improvement rate of conventional von Neumann processors has slowed as Moore’s Law grinds to an economic halt, giving rise to a new age of heterogeneity for energy-efficient computing. Extending processors with finely tunable precision instructions have emerged as a form of heterogeneity that tradeoffs computation precision with power consumption. However, the prolonged design time due to customization of the supported framework for a system-on-a-chip may counteract the advantages of transprecision computing. We propose XwattPilot, a system aiming at accelerating the transprecision software development of low-power processors using cloud technology. We show that the total energy-to-solution can be significantly decreased by using transprecision computations, whereas the proposed system can accelerate the energy-efficiency evaluation runtime by 10:3.

Diamantopoulos, D., Scheidegger, F., Mach, S., Schuiki, F., Haugou, G., Schaffner, M., et al. (2020). XwattPilot: A Full-stack Cloud System Enabling Agile Development of Transprecision Software for Low-power SoCs. IEEE [10.1109/COOLCHIPS49199.2020.9097644].

XwattPilot: A Full-stack Cloud System Enabling Agile Development of Transprecision Software for Low-power SoCs

Benini, Luca
2020

Abstract

The performance improvement rate of conventional von Neumann processors has slowed as Moore’s Law grinds to an economic halt, giving rise to a new age of heterogeneity for energy-efficient computing. Extending processors with finely tunable precision instructions have emerged as a form of heterogeneity that tradeoffs computation precision with power consumption. However, the prolonged design time due to customization of the supported framework for a system-on-a-chip may counteract the advantages of transprecision computing. We propose XwattPilot, a system aiming at accelerating the transprecision software development of low-power processors using cloud technology. We show that the total energy-to-solution can be significantly decreased by using transprecision computations, whereas the proposed system can accelerate the energy-efficiency evaluation runtime by 10:3.
2020
2020 IEEE Symposium in Low-Power and High-Speed Chips
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Diamantopoulos, D., Scheidegger, F., Mach, S., Schuiki, F., Haugou, G., Schaffner, M., et al. (2020). XwattPilot: A Full-stack Cloud System Enabling Agile Development of Transprecision Software for Low-power SoCs. IEEE [10.1109/COOLCHIPS49199.2020.9097644].
Diamantopoulos, Dionysios; Scheidegger, Florian; Mach, Stefan; Schuiki, Fabian; Haugou, Germain; Schaffner, Michael; Gurkaynak, Frank K.; Hagleitner, ...espandi
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/795275
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