COPA 2023: Keyword Index

Keyword	Papers
*
nx	Race-Condition-Robust Hardware-Software Equivalence in nx
a
abstraction	Concurrency and Models of Abstraction: Past, Present and Future
anomaly detection	Accelerating Scientific and Engineering Applications through Cloud-based GPU Computing
c
CNN	Evaluation of FPGA Acceleration of Neural Networks
concurrency	Concurrency and Models of Abstraction: Past, Present and Future
CSP	Slurm 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 API	Accelerating 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 Terrorism	Concurrency and Models of Abstraction: Past, Present and Future
d
Data Lake	Concurrency and Models of Abstraction: Past, Present and Future
data provenance report	Is 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 Engineering	Accelerating Scientific and Engineering Applications through Cloud-based GPU Computing
f
fanotify	Is it feasible to identify outputs of an arbitrary process at run time without excessively slowing down workflows?
FPGA	Evaluation of FPGA Acceleration of Neural Networks
frequency domain analysis	Accelerating Scientific and Engineering Applications through Cloud-based GPU Computing
g
GPU computing	Accelerating Scientific and Engineering Applications through Cloud-based GPU Computing
h
hardware-software equivalence	Race-Condition-Robust Hardware-Software Equivalence in nx
HLS	Evaluation of FPGA Acceleration of Neural Networks
i
inotify	Is it feasible to identify outputs of an arbitrary process at run time without excessively slowing down workflows?
l
Linux	Race-Condition-Robust Hardware-Software Equivalence in nx
m
Map Reduce	Concurrency and Models of Abstraction: Past, Present and Future
meow	Slurm Scheduling From Rules-Based Systems Is it feasible to identify outputs of an arbitrary process at run time without excessively slowing down workflows?
Microservices	Concurrency and Models of Abstraction: Past, Present and Future
p
parallel computing	Accelerating Scientific and Engineering Applications through Cloud-based GPU Computing
perf	Is it feasible to identify outputs of an arbitrary process at run time without excessively slowing down workflows?
performance optimization	Accelerating Scientific and Engineering Applications through Cloud-based GPU Computing
q
quantum computing	Concurrency and Models of Abstraction: Past, Present and Future
r
race condition	Race-Condition-Robust Hardware-Software Equivalence in nx
Radio Signal Detection	Accelerating Scientific and Engineering Applications through Cloud-based GPU Computing
Rules-based	Slurm Scheduling From Rules-Based Systems
s
signal processing	Accelerating Scientific and Engineering Applications through Cloud-based GPU Computing
Slurm	Slurm Scheduling From Rules-Based Systems
SME	Evaluation of FPGA Acceleration of Neural Networks
SSH	Race-Condition-Robust Hardware-Software Equivalence in nx
strace	Is it feasible to identify outputs of an arbitrary process at run time without excessively slowing down workflows?
t
triangulation	Accelerating Scientific and Engineering Applications through Cloud-based GPU Computing
w
wireless communication	Accelerating Scientific and Engineering Applications through Cloud-based GPU Computing
Workflow Manager	Is it feasible to identify outputs of an arbitrary process at run time without excessively slowing down workflows?