Abstract | ||
---|---|---|
Approximate computing is claimed to be a powerful knob for alleviating the peak power and energy-efficiency issues. However, providing a consistent benchmark suit with diverse applications amenable to approximate computing is crucial to ensure fair and reproducible comparisons. This article makes an important attempt toward it in the form of the AxBench suite, which contains applications for CPUs,... |
Year | DOI | Venue |
---|---|---|
2017 | 10.1109/MDAT.2016.2630270 | IEEE Design & Test |
Keywords | Field | DocType |
Benchmark testing,Robots,Graphics processing units,Approximate computing,Silicon,Measurement,Algorithm design and analysis,Density measurement | Algorithm design,Suite,Computer science,Robot,Computer engineering,Benchmark (computing),Approximate computing,SDET | Journal |
Volume | Issue | ISSN |
34 | 2 | 2168-2356 |
Citations | PageRank | References |
27 | 0.96 | 11 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Amir Yazdanbakhsh | 1 | 241 | 15.28 |
Divya Mahajan | 2 | 122 | 6.40 |
H. Esmaeilzadeh | 3 | 1443 | 69.71 |
Lotfi-Kamran, P. | 4 | 396 | 22.26 |