COPA 2023: Keyword Index

KeywordPapers
*
*n*xRace-Condition-Robust Hardware-Software Equivalence in *n*x
a
abstractionConcurrency and Models of Abstraction: Past, Present and Future
anomaly detectionAccelerating Scientific and Engineering Applications through Cloud-based GPU Computing
c
CNNEvaluation of FPGA Acceleration of Neural Networks
concurrencyConcurrency and Models of Abstraction: Past, Present and Future
CSPSlurm Scheduling From Rules-Based Systems
Concurrency and Models of Abstraction: Past, Present and Future
cuBLAS (Cuda Basic Linear Algebra Subprograms)Accelerating Scientific and Engineering Applications through Cloud-based GPU Computing
CUDA APIAccelerating Scientific and Engineering Applications through Cloud-based GPU Computing
cuFFT (Cuda Fast Fourier Transforms)Accelerating Scientific and Engineering Applications through Cloud-based GPU Computing
CULA (Cuda Linear Algebra)Accelerating Scientific and Engineering Applications through Cloud-based GPU Computing
Cyber TerrorismConcurrency and Models of Abstraction: Past, Present and Future
d
Data LakeConcurrency and Models of Abstraction: Past, Present and Future
data provenance reportIs it feasible to identify outputs of an arbitrary process at run time without excessively slowing down workflows?
Discrete Fourier Transform (DFT)Accelerating Scientific and Engineering Applications through Cloud-based GPU Computing
e
Electrical EngineeringAccelerating Scientific and Engineering Applications through Cloud-based GPU Computing
f
fanotifyIs it feasible to identify outputs of an arbitrary process at run time without excessively slowing down workflows?
FPGAEvaluation of FPGA Acceleration of Neural Networks
frequency domain analysisAccelerating Scientific and Engineering Applications through Cloud-based GPU Computing
g
GPU computingAccelerating Scientific and Engineering Applications through Cloud-based GPU Computing
h
hardware-software equivalenceRace-Condition-Robust Hardware-Software Equivalence in *n*x
HLSEvaluation of FPGA Acceleration of Neural Networks
i
inotifyIs it feasible to identify outputs of an arbitrary process at run time without excessively slowing down workflows?
l
LinuxRace-Condition-Robust Hardware-Software Equivalence in *n*x
m
Map ReduceConcurrency and Models of Abstraction: Past, Present and Future
meowSlurm Scheduling From Rules-Based Systems
Is it feasible to identify outputs of an arbitrary process at run time without excessively slowing down workflows?
MicroservicesConcurrency and Models of Abstraction: Past, Present and Future
p
parallel computingAccelerating Scientific and Engineering Applications through Cloud-based GPU Computing
perfIs it feasible to identify outputs of an arbitrary process at run time without excessively slowing down workflows?
performance optimizationAccelerating Scientific and Engineering Applications through Cloud-based GPU Computing
q
quantum computingConcurrency and Models of Abstraction: Past, Present and Future
r
race conditionRace-Condition-Robust Hardware-Software Equivalence in *n*x
Radio Signal DetectionAccelerating Scientific and Engineering Applications through Cloud-based GPU Computing
Rules-basedSlurm Scheduling From Rules-Based Systems
s
signal processingAccelerating Scientific and Engineering Applications through Cloud-based GPU Computing
SlurmSlurm Scheduling From Rules-Based Systems
SMEEvaluation of FPGA Acceleration of Neural Networks
SSHRace-Condition-Robust Hardware-Software Equivalence in *n*x
straceIs it feasible to identify outputs of an arbitrary process at run time without excessively slowing down workflows?
t
triangulationAccelerating Scientific and Engineering Applications through Cloud-based GPU Computing
w
wireless communicationAccelerating Scientific and Engineering Applications through Cloud-based GPU Computing
Workflow ManagerIs it feasible to identify outputs of an arbitrary process at run time without excessively slowing down workflows?