Acceleration of Distance-to-Default with GPU
Distance-to-Default(DTD), which is used to describe the default risk of a rm, acts an important role in credit research. Nowadays, since we can access a large amount of historical data, we can get a more accurate DTD result. However, this directly increases the computation time as well as the comput...
Main Author: | Lou, Xin |
---|---|
Format: | Others |
Language: | English |
Published: |
KTH, Skolan för informations- och kommunikationsteknik (ICT)
2012
|
Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-102877 |
Similar Items
-
GPU-ACCELERATED ADAPTIVELY SAMPLED DISTANCE FIELDS
by: THIAGO DE ALMEIDA BASTOS
Published: (2008) -
[en] GPU-ACCELERATED ADAPTIVELY SAMPLED DISTANCE FIELDS
by: THIAGO DE ALMEIDA BASTOS
Published: (2008) -
GPU-Accelerated Apriori Algorithm
by: Jiang Hao, et al.
Published: (2017-01-01) -
GPU accelerated face detection
by: Mäkelä, J. (Jussi)
Published: (2013) -
Accelerating Protein Alignment by GPU
by: Wu, Dai-Yang, et al.
Published: (2018)