new

diff --git a/BookGPU/Chapters/chapter2/biblio.bib b/BookGPU/Chapters/chapter2/biblio.bib
index d577ae8808d251169aab3f0b77f7afd3bc44599e..8b3a95981f2ebf4da7911ec5707b73d8fb715d2b 100644 (file)
--- a/BookGPU/Chapters/chapter2/biblio.bib
+++ b/BookGPU/Chapters/chapter2/biblio.bib
@@ -13,7 +13,7 @@
 @Article{ch2:journals/ijhpca/Dongarra02,
   title =      "Basic Linear Algebra Subprograms Technical (Blast)
                 Forum Standard (1)",
-  author =     "Jack Dongarra",
+  author =     "J. Dongarra",
   journal =    "IJHPCA",
   year =       "2002",
   number =     "1",

diff --git a/BookGPU/Chapters/chapter3/biblio3.bib b/BookGPU/Chapters/chapter3/biblio3.bib
index 56fda5acc3b017ca94b1461e60eb86cfccb9dc9b..219118b8cb3be35309a8f4575b19aa5fdaf98e63 100755 (executable)
--- a/BookGPU/Chapters/chapter3/biblio3.bib
+++ b/BookGPU/Chapters/chapter3/biblio3.bib
@@ -258,7 +258,7 @@
 }
 
 @inproceedings{mcguire2008median,
-       author = {Morgan Mc{G}uire},
+       author = {M. Mc{G}uire},
        booktitle = {ShaderX6},
        month = {February},
        title = {A fast, small-radius GPU median filter},
@@ -327,7 +327,7 @@
 }
 
 @inproceedings{chen09,
-       author = {Wei Chen and M. Beister and Y. Kyriakou and M. Kachelries},
+       author = {W. Chen and M. Beister and Y. Kyriakou and M. Kachelries},
        booktitle = {Nuclear Science Symposium Conference Record (NSS/MIC), 2009 IEEE},
        doi = {10.1109/NSSMIC.2009.5402323},
        issn = {1095-7863},
@@ -339,7 +339,7 @@
 }
 
 @inproceedings{sanchezICASSP12,
-       author = {Ricardo M. Sanchez and Paul A. Rodriguez},
+       author = {R. M. Sanchez and P. A. Rodriguez},
        booktitle = {Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on},
        doi = {10.1109/ICASSP.2012.6288187},
        issn = {1520-6149},
@@ -362,7 +362,7 @@ doi={10.1109/CIT.2011.60},
 ISSN={},}
 
 @book{tukey77,
-author = {Tukey, John Wilder},
+author = {Tukey, J. W.},
 isbn = {0-201-07616-0},
 publisher = {Addison-Wesley},
 title = {Exploratory Data Analysis},
@@ -383,7 +383,7 @@ ISSN={1095-7863},}
 
 
 @article{Weiss:2006:FMB:1141911.1141918,
- author = {Weiss, Ben},
+ author = {Weiss, B},
  title = {Fast median and bilateral filtering},
  journal = {ACM Trans. Graph.},
  issue_date = {July 2006},
@@ -403,7 +403,7 @@ ISSN={1095-7863},}
 } 
 
 @inproceedings{Weiss:2006:FMB:1179352.1141918,
- author = {Weiss, Ben},
+ author = {Weiss, B},
  title = {Fast median and bilateral filtering},
  booktitle = {ACM SIGGRAPH 2006 Papers},
  series = {SIGGRAPH '06},
@@ -421,7 +421,7 @@ ISSN={1095-7863},}
 } 
 
 @book{Huang:1981:TDS:539567,
- author = {Huang, Thomas S.},
+ author = {Huang, T. S.},
  title = {Two-Dimensional Digital Signal Processing II: Transforms and Median Filters},
  year = {1981},
  isbn = {0387103597},
@@ -462,7 +462,7 @@ doi={10.1109/TIP.2007.902329},
 ISSN={1057-7149},}
 
 @ARTICLE{Wu2010, 
-author={Yong Wu and Mansoureh Eghbali and Jimmy Ou and Rong Lu and Ligia Toro and Enrico Stefani}, 
+author={Y. Wu and M. Eghbali and J. Ou and R. Lu and L. Toro and E. Stefani}, 
 journal={Biophysical Journal},
 title={Quantitative determination of spatial protein-protein correlations in fluorescence confocal microscopy.}, 
 year={2010}, 
@@ -481,7 +481,7 @@ title={Highly Parallelable Bidimensional Median Filter for Modern Parallel Progr
 url={http://dx.doi.org/10.1007/s11265-012-0715-1},
 publisher={Springer US},
 keywords={Nonlinear filters; Parallel algorithms; Image processing},
-author={Sánchez, RicardoM. and Rodríguez, PaulA.},
+author={Sánchez, R. M. and Rodríguez, P. A.},
 pages={1-15},
 language={English}
 }

diff --git a/BookGPU/Chapters/chapter4/biblio4.bib b/BookGPU/Chapters/chapter4/biblio4.bib
index 14e5ef7c165fe44f3257e354cef08730733449f1..463e4e4cc9e38aee623f0e2b60430f2bfebd1c72 100644 (file)
--- a/BookGPU/Chapters/chapter4/biblio4.bib
+++ b/BookGPU/Chapters/chapter4/biblio4.bib
@@ -1,6 +1,6 @@
 @unpublished{convolutionsoup,
     title = {Convolution Soup},
-    author = {Stam, Joe},
+    author = {Stam, J.},
     abstract = {Graphics processors can be easily programmed to provide significant acceleration in many common parallel tasks.  However, with additional architecture knowledge and understanding of optimization strategies, a savvy programmer can unleash the full potential of the GPU's massive memory bandwidth and ensure the processing resources are utilized to their fullest extent.  In this talk, we'll explore several different approaches to a very simple but ubiquitous image processing algorithm, the convolution.  A naive approach shows the detrimental impact of poorly written code, a simple approach achieves decent results with little effort or code complexity, and a few highly optimized techniques realize the GPUs full power for the most demanding tasks.  The techniques explored in this simple but illustrative example will serve as a base for understanding the optimization strategies to apply towards more complex algorithms.},
     year = {2010},
     month ={8},