C
Calibration Consistency operator, SPIRiT MRI
727–729
Calibration Operator, SPIRiT MRI parallel imaging
726–727
Carbon-60 calculations
multi-GPU performance
18
single-GPU performance
17
Carbon nanotubes, MD calculations
65–68
Car-Parrinello molecular dynamics (CPMD)
59
Cartesian sampling, and MRI
710
Cellular automata (CA), LB methods
382–383
Center-of-gravity kernel, Barnes Hut n -body algorithm
78
Cg
CT reconstruction
700 , 702
and list-mode OSEM
681–682
tomographic image reconstruction
684
VSM
469
Chaos Game algorithm
Fractal Flames
263–264
memory-access patterns
267–269
Monte Carlo
265
performance evaluation
270–272
phases
267
static data
270
Chapman-Enskog expansion
396
Character recognition, and machine learning
289–290
Check nodes (CN), decoding kernel
622–623
Chemical informatics, similarity evaluation
core methods
22
GSO
CPU/GPU balancing
25–27
data-parallel objective function
23–25
kernel fusion
25–27
overview
20–21
parallelization and arithmetic optimization
22–27
LINGO
21–22
algorithmic transformation and memory optimization
27–30
SIML and memory tuning
28–30
overview
19–20
performance comparison
30 , 32
3D shape molecule overlay
21
Classifier cascade
layout optimizations
538–541
object-detection with CUDA
533–541
structure
521–522
Closing phase, path regeneration for random walks
408
Clouds, LB methods example
390–391
Cluster-boundary identification, ASR
608
Coalesced memory accesses
Barnes Hut n -body algorithm via CUDA
86 , 88
fast n -body algorithms
118
image/video processing
562–565
pattern matching acceleration
196–198
VSM
457 , 460
Coarse-grain parallelism
fast circuit optimization
365
medical image processing
738
Coefficient arrays, wavefunction, HCl
11
Collision matrix
LB method OpenCL implementation
386
LB methods
384–385
plant rendering
390
Column-parallel scan, pattern matching acceleration
188–191
Combinatorial logic, gate-level simulation
348
Combined multiple recursive generators (CMRGs)
232–233
Composite filters, speed-limit-sign recognition
501–502
Compress column storage (CCS) format, LDPC
622
Compressed sensing (CS), MRI
approach
724–725
basic problem
723–726
Compressed Sparse Row (CSR), MRI reconstruction
717
Compressibility, CS MRI
724
Compress row storage (CRS) format, LDPC
622
Compton interactions, radiographic image simulation
818 , 823
Compton law, photon transport
248 , 255 , 257
Computed tomography (CT)
deformable registration algorithm
751–752 , 767–768
parallelization
algorithms, implementations, evaluations
661–672
backprojection
669–672
backward mapping
669
basic problem
659
convolution
666 , 668–669
core methods
659–660
differentiation
663–666
forward mapping
666–668
future work
676
performance evaluation
672–675
projection's filtering
663–669
related work
675–676
radiographic image simulations
815–816 , 818–819 , 824–826
reconstruction parameters
algorithms, implementations, evaluations
695–700
basic problem
693–694
core methods
694–695
exhaustive sampling
696–697
future work
706–707
iterative algorithms performance
700–702
multi-objective optimization
697–698
OS-SIRT
695–696
parameter selection interface
698–700
performance evaluation
700–706
quality metric
698
regularization scheme performance
702–703
Computer simulations
black holes
103–109
event-driven logic
344 , 346–347 , 355
gate-level with GP-GPUs
347–363
n -bodies with CUDA
113–131
oblivious logic
344 , 346 , 352–354
radiographic images
813–828
state-based agent simulation
314–315
Computer vision
GPU computing status
437–438
Graph Cuts
algorithms, implementations, evaluations
440–447
core method
439–440
evaluation, validation
447–448
global relabeling
446–447
multilabel Graph Cuts
448–450
parallel push implementation
441–444
workload management
444–445
real-time stereo
see Real-time stereo
Compute Unified Device Architecture
see CUDA (Compute Unified Device Architecture)
Concurrent gate group, definition
370 , 372
Concurrent thread array (CTA), CUDA, stereo matching
479–482 , 485
Cone-beam cover method, CT parallelization
662
Conflict-free reduction, ASR
608–610
Conjugate gradients (CG)
atlas construction
778 , 780–782
MRI reconstruction
713–715
high-speed implementations
715–718
kernel functions
715–717
Connected component labeling (CCL), in CUDA
algorithms, implementations
572–577
CCL definition
569
core algorithm
570–572
future work
581
I/O
574
kernel analysis
580
limitations
580–581
merging scheme
574–577
overview
569–570
parallel union find
570–572
performance evaluation
577–581
in shared memory
574
Constant cache
CUDA
17
fast circuit optimization
372–373
genome search algorithms
177
GPU MO algorithms
11
molecular electrostatics
47–48
Constant memory
Barnes-Hut n -body algorithm
79 , 87–88
CMRGs
234
CT image reconstruction
664–667 , 669–670
facial animation
423–424
fast circuit optimization
373
genome-matching acceleration
175 , 179–180
iterated function systems
266 , 270
LB model
386 , 389
LINGO
28
medical image processing
742
MO computations
8 , 11 , 13
molecular electrostatics
47–49 , 51–52 , 54
MRI reconstruction
712 , 715–717 , 719
n -body algorithms
129
object detection
540
programmable graphics pipeline in CUDA
428–429
radiographic image simulation
822–823
sequence database scanning
170
SPIRiT compressed sensing MRI
731
Construction graph
and ACO
326
AntMinerGPU
328–329
data structures
331–332
solution generation
334
Contracted Gaussian type orbitals (CGTOs), MO calculations
9 , 10
Contrast Limited Adaptive Histogram Equalization (CLAHE), speed-limit-sign recognition
502–504 , 509–510
Control-point spacing, B-spline registration
765 , 767–769
Convolutions
BigDFT code
138–140
CT projection filtering
666 , 668–669
ITK-based medical imaging
738–739 , 742–743
SPIRiT MRI
730–733
Cornell box scene, random walks in path tracing
409–410
Cost function, B-spline registration
753–755 , 759–762
Cost function gradient, deformable registration algorithm
distribution stage
765
loading stage
763
overview
762–763
processing stage
763 , 765
CountScanWrite approach, temporal data mining
222 , 224
CPU/GPU architectures, object detection
517
CPU/GPU balancing, and GSO
25–27
CPU/GPU bandwidth, atlas construction
783
CPU/GPU communication
brain connectivity reconstruction
802
tomographic image reconstruction
686 , 688
CPU/GPU comparison
MRI reconstruction
720
n -body algorithms
90
CPU/GPU control flow
ant colony optimization
332
AntMinerGPU
332
CPU/GPU copy, chemical informatics
32
CPU/GPU hybrid clusters, DFT
133 , 148
CPU/GPU partitioning
DFT
147
image/video processing
566
SW algorithm
155
CPU/GPU transfers
Barnes Hut n -body algorithm
88
chemical informatics
19 , 27
n -body algorithms
87–88
Cross-checking, stereo matching
476 , 479 , 484–485
Cross-correlation, image/video processing
561
Cross-correlation coefficient (CC), CT reconstruction parameters
698
CUBLAS routines
BigDFT code
141 , 143–145 , 147
electronic structure
59 , 61–62 , 64 , 66–67 , 71–72
machine learning
282 , 287 , 289
MD calculations
66–67 , 71
multiclass SVM
299 , 303
SMO reduce step
299
CUDA (Compute Unified Device Architecture)
atlas construction
775 , 777–781
Barnes Hut n -body algorithm
75–76 , 78–86 , 88–91
basic architecture
345
black hole simulations
103–109
brain connectivity reconstruction
796–809
chemical informatics
23–27 , 29–30
CT image reconstruction
664 , 666 , 670 , 672 , 675
DBT
652
de-mosaicing
584 , 587 , 594 , 596–598
dynamical quadrature grids
38–39
electronic structure
61–65
facial animation
413 , 422–426
fast circuit optimization evaluation
374
FFT
632 , 637
Fractal Flames with IFS
266–270
gate-level simulation
345–347 , 352 , 361–363
genome matching
173–183
Graph Cuts for computer vision
439–450
GRASSY platform
97–98
image/video processing
547–566
LB model
385–390
machine learning
278 , 280–287
medical imaging
737–743 , 746
MO computations
5–6 , 11–12 , 15–17
molecular electrostatics
43–44 , 46–47 , 53 , 55–58
MRI reconstruction
712–713 , 715–718
n -body simulations
113–114 , 116–131
object detection
526–543
photon transport
258–259
programmable graphics pipeline
427–435
radiographic image simulation
813–828
random number generators
231–232 , 240 , 242–245
real-time stereo
477–485
speed-limit-sign recognition
499 , 505
SPIRiT MRI
728–729 , 733
SW algorithm
156–169
temporal data mining
215 , 217–218 , 224–226
tomographic image reconstruction
679–691
CUDPP (CUDA Data Parallel Primitives) Library
integral image calculation
526–530
stream compaction
533–534
temporal data mining
215 , 218–219 , 222
CUFFT library
interaction kernel
458
large-scale FFT
637–638
large-scale FFT naive algorithm
633–634
speed-limit-sign recognition
507
SPIRiT MRI
727 , 729 , 735
Cumulative probability distribution (CDF), photon transport
248–250
Current gate, definition
370
Cutoff function
quadrature grid DFT calculations
36–37
short-range
see Short-range cutoff
Cyclic dependencies, macro-gate segmentation
349
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