Producing wrong data without doing anything obviously wrong!
By Todd Mytkowicz, Amer Diwan, Matthias Hauswirth, P. Sweeney. International Conference on Architectural Support for Programming Languages and Operating Systems, 2009
398 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/3886c40229b3de318de668e0c0f4202079eb6f55
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Michael W. Hicks
- Ú. Erlingsson
- T. Roeder
- Torsten Hoefler
- Stephen Checkoway
- Stephanie Forrest
- Roberto Belli
- Westley Weimer
In Computer Networks and Communications
- Michael W. Hicks
- John M. Mellor-Crummey
- Ú. Erlingsson
- Stephanie Forrest
- Westley Weimer
- Dipankar Dasgupta
- Charles Sutton
- Jaroslav M. Fowkes
In Computer Vision and Pattern Recognition
Citations in the corpus
- Evaluating Fuzz Testing (2018, result): “But it’s also possible that there is a strong and/or surprising interaction between seed format and algorithm choice which could add nuance to the results [37].”
- Enforcing Forward-Edge Control-Flow Integrity in GCC & LLVM (2014, methodology): “Another recent CFI implementation, bin-CFI [35], reports overheads of 12% on the SPEC Perl benchmarks, but 45% for the C++ benchmark omnetpp, while the overhead is between -1% and 6.5% for omnetpp compiled using our mechanisms.”
- Post-compiler software optimization for reducing energy (2014, background): “We note that this is a general issue for performance optimization [41] and not specific to our approach.”
- Scientific Benchmarking of Parallel Computing Systems Twelve ways to tell the masses when reporting performance results (2017, background): “It is well known that the performance of a computer program depends on the application, the input, the compiler, the runtime environment, the machine, and the measurement methodology [20,43].”
- HPCTOOLKIT: tools for performance analysis of optimized parallel programs (2010, background): “can distort application performance through a variety of mechanisms [25].”