U
Unafold
algorithms, implementations, evaluations
201–206
core method
200–201
and GTfold
203
implementation comparison
208
internal loops
203
multiloops
first implementation
204
GPU implementation
205–206
overview
203–204
reduction split and reordering
204–206
tiling scheme
205–208
parallelization scheme
203
recurrence equations
201–202
related algorithms
206
RNA folding problem
199–200
Unbiased diffeomorphic atlas construction
basic image operators
775–777
basic problem
771–773
CG method
780–782
challenges
773–774
core methods
774
data structures
775
future work
789–790
GPU cluster model
784
load-balancing
784–785
multi-GPU model
783–784
multiscale framework
782–783
ODE integration
777
PDE solver
778
performance analysis
786–789
performance improvement
788–789
performance quality
787–788
performance tuning
785–786
scratch memory model
786–787
SOR method
778–780
volume clipping optimization
786
Union-find algorithm, CCL problem
570–572
Unique-index prefix-scan, ASR
608
Unique list gathering lists, ASR
608
UNROLLFACTOR, direct Coulomb summation
48–50
Upper-bounding coefficient, photon transport
252–253
Upscale sampler, multiscale atlas construction
782–783
Up-Sweep, pattern matching acceleration
197
USPS dataset, SVM evaluation
307–308
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