Jan Van Lunteren, Ronald Luijten, et al.
DATE 2019
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×.
Jan Van Lunteren, Ronald Luijten, et al.
DATE 2019
Gagandeep Singh, Dionysios Diamantopoulos, et al.
FPL 2020
Abbas Haghi, Lluc Alvarez, et al.
FPL 2020
Dionysios Diamantopoulos, Raphael Polig, et al.
CLOUD 2021