PERSONAL DE APOYO
BEDERIAN Carlos Sergio
congresos y reuniones científicas
Título:
Parallel implementation of a cellular automata in a hybrid CPU/GPU environment
Autor/es:
EMMANUEL N. MILLÁN; PAULA CECILIA MARTINEZ; VERÓNICA GIL COSTA; MARÍA FABIANA PICCOLI; MARCELA PRINTISTA; CARLOS S. BEDERIÁN; CARLOS GARCÍA GARINO; EDUARDO M. BRINGA
Lugar:
Mar del Plata
Reunión:
Workshop; XIII Workshop Procesamiento Distribuido y Paralelo; 2013
Institución organizadora:
Universidad CAECE
Resumen:
Cellular Automata (CA) simulations can be used to model
multiple systems, in fields like biology, physics and mathematics. In this
work, a possible framework to execute a popular CA in hybrid CPU
and GPUs (Graphics Processing Units) environments is presented. The
inherently parallel nature of CA and the parallelism offered by GPUs
makes their combination attractive. Benchmarks are conducted in sev-
eral hardware scenarios. The use of MPI /OMP is explored for CPUs,
together with the use of MPI in GPU clusters. Speed-ups up to 20 x are
found when comparing GPU implementations to the serial CPU version
of the code.