G
Gabor filtering kernel, VSM
462–465
CUDA kernels
457
dynamic pathway
455–457
motion estimator kernel
458–462
static pathway
453
Game of Life
382–383
GAMESS, carbon-60 single-GPU performance
17–18
Gaps, genome-matching acceleration
181–182
Gap values, macro-gate sizing heuristics
355
Gate assignment, fast circuit optimization
367–368
Gate-level simulation
compilation phase
347–351
design compilation
358–359
future work
362–363
macro-gate activity
359–361
macro-gate balancing
350–351
macro-gates
356–358
monitored nets
358–359
overview
343–347
performance evaluation
361–362
performance results
355–362
related work
363
simulation phase
351–355
simulator organization
347
system-level compilation
348–350
Gate-level task scheduling, fast circuit optimization
369–372
Gate sizing, fast circuit optimization
367–368
Gaussian mixture model, ASR
604
Gaussian noise, CT reconstruction performance
704
Gaussian shape overlay (GSO), chemical similarity evaluation
core methods
22
CPU/GPU balancing
25–27
data-parallel objective function
23–25
definition
19
kernel fusion
25–27
molecule examples
21
overview
20–21
parallelization and arithmetic optimization
22–27
Gaussian type orbitals (GTOs), MO calculations
9
General-purpose graphics processing units (GP-GPUs)
ACO acceleration
algorithms, implementations, evaluations
327–337
AntMinerGPU
327–340
basic problem
325–326
basic scheme
326
core method
326
data structures
331–332
operation and implementation
330–337
optimization
327
pseudocode overview
327
CT image reconstruction
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
663–669
related work
675–676
steps
661–663
gate-level simulation
compilation phase
347–351
design compilation
358–359
future work
362–363
macro-gate activity
359–361
macro-gate balancing
350–351
macro-gates
356–358
monitored nets
358–359
overview
343–344
performance evaluation
361–362
performance results
355–362
related work
363
simulation phase
351–355
simulator organization
347
simulator overview
345–347
system-level compilation
348–350
real-time stereo
algorithms, implementations, evaluations
475–485
basic problem
473–474
core method
475
cross-checking
484–485
foreground
vs
. full image
490–493
Middlebury evaluation
486–487
multiresolution background modeling
475–478
multiresolution
vs
. single resolution
487–490
multiresolution stereo matching
478–479
performance evaluation
486–493
single CUDA kernel
479–485
General relativity (GH), numerical solutions
103–104
Genome encoding, in genome-matching acceleration
177–178
Genome-matching acceleration, with massive parallel computing
algorithms, implementations, evaluations
176–183
basic problem
173–174
benefits and limitations
183
core methods
174–176
CUDA-CPU execution
181
CUDA kernel parameter settings
180–181
data layout
179–180
future work
183
gaps and mismatches
181–182
genome encoding
177–178
hashing
182
performance scaling
182–183
smaller threads
181
target headers
178–179
target processing
180
GEO600, as gravitational wave detector
103
Global optimizations
Barnes Hut
n
-body algorithm
78–79
chemical informatics
23
real-time stereo
473
Global relabeling, Graph Cuts for computer vision
446–447
GLPL
GPU-accelerated computation
ant colony optimization
325–337
brain connectivity reconstruction
793–812
computed tomography reconstruction
693–707
medical image processing
737–748
memory hierarchy
631
MO computations
8–13
radiographic image simulation
814
GPU hardware architecture
369
Graph Cuts, for computer vision
algorithms, implementations, evaluations
440–447
basic problem
439
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
GRASSY (Graphics Processing Unit — Accelerated Spectral Synthesis)
definition
95
division of labor
97–98
future work
101
interpolation decomposition
97
overview
97
performance model
100
precision issues
98–99
pseudo-code
98–99
testing
100
texture packing
97
Gravitational problems
113
Gravitational radiation
103
Gravitational wave detectors
103
GSO
GTECH library, gate-level simulation
348
GTOs
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