Noticias en español
A total of 40 people attended Third Workshop on Programming GPUs with CUDA organized by the National Laboratory for High Performance Computing (NLHPC) and Universidad de Chile Center for Mathematical Modeling (CMM), The figure doubles the number of participants of last year, when the first version of this activity took place. In addition, more than 80 people signed up, nearly triple of 2015.
“This is an indication of a growing awareness about what parallel programming can do and its advantages over the sequential programming,” said NLHPC deputy director Ginés Guerrero. “Parallel programming can solve problems faster than traditional sequential code and even can solve problems that were not possible before. There is still a long way to go, in which NLHPC has much to contribute. ”
CUDA (Compute Unified Device Architecture) is a parallel computing platform and programming model created by NVIDIA and implemented by the graphics processing units (GPUs) that they produce.
Guerrero said that “The course is aimed to show notions about the functioning of the graphic cards for general purpose computing (GPGPU). The idea is to show what they are capable of performing the GPU and how to use it properly”.
Originally, the workshop had places for 30 people, but the high interest required an increase that number to 40. Among those present were representatives of many business, university students and many scientists of all over the country.
“It’s great the reception that it had on the scientific community, the public sector and business community”, said Guerrero.
CUDA fellow Manuel Ujaldó gave this workshop. He has co-authored over 40 publications in international journals and held many conferences on these topics,. In addition, he has imparted over thirty CUDA programming courses on universities all around the world.
