Name
Abstract | ||
|---|---|---|
Improving the performance of applications is a core target of computer systems research and has led to the creation of various techniques. Among them is function memoization, an intuitive technique that, unfortunately, failed to live up to its promised potential. Traditional function memoization falls short mainly because it is input-based, meaning the system needs to pattern-match the current inv... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/MM.2018.043191126 | IEEE Micro |
Keywords | Field | DocType |
Approximate computing,Distortion,Electric breakdown,Benchmark testing,Microsoft Windows,Runtime,Computational modeling | Locality,Microsoft Windows,Locality of reference,Computer science,Parallel computing,Memoization,Distortion,Benchmark (computing),Speedup,Approximate computing | Journal |
Volume | Issue | ISSN |
38 | 4 | 0272-1732 |
Citations | PageRank | References |
3 | 0.39 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| G. Tziantzioulis | 1 | 17 | 1.75 |
| Nikos Hardavellas | 2 | 1015 | 44.39 |
| Simone Campanoni | 3 | 165 | 13.27 |