K
Kappa lines, CT image reconstruction
661 , 664
Katsevich algorithm, CT image reconstruction, parallelization
algorithms, implementations, evaluations
661–672
backprojection
669–672
basic problem
659
core methods
659–660
future work
676
performance evaluation
672–675
projection's filtering
backward mapping
669
convolution
666 , 668–669
differentiation
663–666
forward mapping
666–668
related work
675–676
Kernel definition
76
Kernel functions
ant colony optimization
331–332 , 336–337
brain connectivity reconstruction
806 , 808
facial animation
417
fast circuit optimization
368–369 , 373
image de-mosaicing
594
machine learning
282
MRI reconstruction
715–717
random number generators
240
real-time stereo
477 , 479 , 483–484
sequence database scanning
169
Kernel fusion, and GSO
25–27
Kernel optimizations
Barnes Hut n -body algorithm via CUDA
implementation results
89–90
kernel 1
79–80
kernel 2
80–81
kernel 3
81–83
kernel 4
83
kernel 5
84–86
kernel 6
86
optimizations overview
86–88
genome-matching acceleration
180–181
SW algorithm
163–168
Kinetic convolution, BigDFT
139
Kinetic operator, BigDFT code
136 , 140–143
Klein-Nishina formula
photon transport
247 , 255 , 259 , 261
radiographic image simulation
818
Knot lookup table, B-spline registration
757–758
Knudsen number, diffusion equation derivation
396
Kohn-Sham (KS) formalism
BigDFT
code structure
138
core method
135–136
Daubechies wavelets
134
overview
134
DFT
133
quadrature grid DFT
35–36
k-space
CS MRI
723
MRI reconstruction
710–712 , 714–716
SPIRiT MRI
724 , 726–729
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