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Finally, the approach is validated using a set of open source benchmarks; Spec 2006, Splash-2, MediaBench and we discuss the performance in terms of speedup and energy reduction.
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It's cool to see Google launch an open-source benchmarking tool like this.
The implementation resulted in source code benchmarks and developed from real user applications.
For experimentation and comparison between two FPGA architectures, two sets of open source heterogeneous benchmarks are used.
Yesterday, Google launched the alpha version of RoboHornet, a new open source browser benchmark that, as Google engineer and project lead Alex Komoroske put it, is "a living, dynamic benchmark that aims to use the collective efforts of the web development community and ultimately get browser vendors to fix real-world performance pain points".
Another limitation is caused by the lack of a unique identifier common between the source and benchmark datasets.
For the comparison, we use, (available at http://www.jopwiki.com/JavaBenchEmbedded) a set of open-source Java benchmarks for embedded systems.
Since there might be differences among protein sequences from different versions or sources, we employed the UniProt (Release 2014_06) database (29) as the source of benchmark sequences.
They attracted about $70 million from sources like Benchmark Capital, a Silicon Valley venture capital fund, and Starbucks, and signed a deal to become the exclusive home furnishings retailer on Amazon.com.
Unsurprisingly, sources say Benchmark was in on the round.
We have integrated these data sources and benchmarked the predictive accuracy of the method, and found that it performs equivalently to a predictor of protein binding regions in disordered regions, in addition to having predictive power for other classes of motif sites such as polyproline II helix motifs and short linear motifs lying in ordered regions.
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CEO of Professional Science Editing for Scientists @ prosciediting.com