F
FABS
Facial animation
background
414
core technology
414–425
examples
415
fine-scale deformation
417–420
future work
425–426
high-resolution details
420–421
large-scale deformation
416–417
memory access strategy
423–424
parallelization
423
performance evaluation
424–425
results and evaluation
421
skin strain
418–419
system overview
413
FASTA, pattern matching acceleration
192
Fast circuit optimization
algorithms, implementations, evaluations
369–373
basic problem
365–367
core method
367–369
future work
376
gate-level task scheduling
369–372
gate sizing/assignment
367–368
GPU-based parallelization
368–369
parallel gate implementation evaluation
372–373
performance evaluation
373–375
Fast Fourier transform (FFT)
array dimension algebra
635–638
atlas construction
778
feature-based pipeline
501–502
GPU cluster memory hierarchy
631–632
MRI reconstruction
710–711
naive algorithm
633–634
optimized algorithm
634
overview
629–631
performance evaluation
639–641
speed-limit-sign recognition
507
SPIRiT MRI
735
Fast iterative method (FIM), brain connectivity reconstruction
801
Fast multipole method (FMM)
Helmholtz equations
113–114
Fast spectral synthesis, with texture interpolation
basic problem
93–95
flux calculation and aggregation
95–96
future work
101
GRASSY platform
97–100
testing
100
FEMs
FFT
Field inhomogeneity compensation, MRI reconstruction
711–712
Filtering
atlas construction
782–783
Bayer pattern color filter array
583–584
CT projections
663–669
de-mosaicing
593–597
OS-SIRT
696
tomographic reconstruction
648
Filter weights, ITK-based medical imaging
742–744
Find-unique function, in ASR
603
Fine-grain parallelism, B-spline registration
752
Fine-scale facial deformation
CUDA kernel code
422
high-resolution details
419
implementation
417–420
local blending
420
memory access strategy
423–424
overview
417–418
precomputation
420
skin strain
418–419
Finite-element methods (FEMs), LB methods
383
Fixed-size A-buffer scheme (FABS), programmable graphics pipeline
433
FLAME GPU, for ABM with CUDA
future work
324
performance
321–323
state-based agent simulation
314–315
visualization
320
XML-driven CUDA code generation
315–317
FMM
Forward mapping, CT projection filtering
666–668
Forward propagation, FFT
637
Fractal Flames algorithm, with IFS
components
264–265
core technology
266–267
functions
265–266
implementation
266–270
memory-access patterns
267–269
performance evaluation
270–272
phases
267
problem overview
263–264
rendering
269
static data
270
Frechet mean, atlas construction
772
Free path sampling, photon transport on GPU
250–254
Frustrum clipping, programmable graphics pipeline in CUDA
428
Function condition, state-based agent simulation
314–315
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