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» The Complexity of Forecast Testing
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ASPLOS
2009
ACM
15 years 10 months ago
Understanding software approaches for GPGPU reliability
Even though graphics processors (GPUs) are becoming increasingly popular for general purpose computing, current (and likely near future) generations of GPUs do not provide hardwar...
Martin Dimitrov, Mike Mantor, Huiyang Zhou
HPCA
2009
IEEE
15 years 10 months ago
Dacota: Post-silicon validation of the memory subsystem in multi-core designs
The number of functional errors escaping design verification and being released into final silicon is growing, due to the increasing complexity and shrinking production schedules ...
Andrew DeOrio, Ilya Wagner, Valeria Bertacco
KDD
2008
ACM
178views Data Mining» more  KDD 2008»
15 years 10 months ago
Training structural svms with kernels using sampled cuts
Discriminative training for structured outputs has found increasing applications in areas such as natural language processing, bioinformatics, information retrieval, and computer ...
Chun-Nam John Yu, Thorsten Joachims
KDD
2004
ACM
211views Data Mining» more  KDD 2004»
15 years 10 months ago
Towards parameter-free data mining
Most data mining algorithms require the setting of many input parameters. Two main dangers of working with parameter-laden algorithms are the following. First, incorrect settings ...
Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) R...
SIGMOD
2009
ACM
122views Database» more  SIGMOD 2009»
15 years 10 months ago
Finding min-repros in database software
Testing and debugging database system applications is often challenging and time consuming. A database tester (or DB tester for short) has to detect a problem, determine why it ha...
Nicolas Bruno, Rimma V. Nehme