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The ASIC takes as an input the power trace computed by the execution of benchmarks on a cycle-accurate processor simulator.
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These concrete setups are depicted in Fig. 2. In both cases, the actual execution of the benchmark is done on a separate machine to avoid CPU contention.
However, a high sampling rate is not always necessary to understand the evolution of the power consumption during the execution of a benchmark.
Using Simplescalar, we simulated our architecture and investigated the execution performance of various benchmarks selected from SPECInt2000, Olden and other memory intensive application suites.
After execution of the spectroscopic benchmarking meta-workflow, the user collects and analyses the data.
We assess the performance of HOPE by performing a series of benchmarks and compare its execution speed with that of plain Python, C++ and the other existing frameworks.
YCSB provides a number of facilities to accurately measure and control the benchmark execution of various workloads on NoSQL platforms.
Benchmarking is the execution of such a program in a way that allows processor users to track the number of machine clock cycles consumed by a specific section of code.
Table 2 Properties of benchmarks.
As projection methods in general, and the Kaczmarz and Cimmino algorithms in particular, are known to perform well in such settings, we chose to compare execution of Algorithm 3.3 to these two for benchmarking.
At system level, these gains reduce the execution time of the benchmarks considered.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com