Exact(5)
The cases with fan and without fan are compared in terms of thermal dynamics performance, energy efficiency and thermo-economic index of the system.
We identify the challenges of improving scalability, performance, energy efficiency, and resilience of the I/O software stack, while accessing a deepening hierarchy of volatile and nonvolatile storage.
In parallel to the changes in both the architecture domain the move toward chip multiprocessors (CMPs)–and the application domain the move toward increasingly data-intensive workloads issues such as performance, energy efficiency and CPU availability are becoming increasingly critical.
The second part of this study (Part II) used full-scale experimentation to investigate the manner in which how two condenser coil configurations (VRC and CRC) influence the performance (energy efficiency) of the system and individual components of air-cooled chillers.
Our evaluations in this paper of the B-IFDMA scheme towards the identified requirements for NFA transmission are focused on the error rate performance, energy efficiency and robustness of the scheme compared to OFDMA, IFDMA and LFDMA.
Similar(55)
Practically identical levels of performances (energy efficiency, power density, and lifetime) were achieved in PEMFCs with the Dow and the Aciplex-S® membranes and these performances were better than in the PEMFCs with the Nafion®-115 membrane.
There is a trade-off between information delivery performances, energy efficiency, and location privacy by using dummy traffic to hide the real sink's location.
We conduct a thorough investigation on these design patterns from different evaluation perspectives including performance, energy-efficiency, and cost-efficiency.
Therefore, the performance-energy efficiency results of the two heterogeneous embedded computing platform demonstrated that the embedded computing platform consumed more power did not mean that it had a lower performance-energy efficiency.
In the experiments, the TX1 embedded computing platform with higher average fully-loaded power consumption exhibited higher performance-energy efficiency.
Referring to (11) and the results discussed in Section 4.2.1, the highest performance-energy efficiency of Jetson TX1 heterogeneous embedded computing platform could be calculated as 88.98/12.2= 7.29 GFLOPS/Watt or 58.82/12.2= 4.80 fps/Watt.
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