Introduction to MATLAB computing methods utilizing high-performance computing resources

MathWorks, a leading company in the computing software field, announced that it will hold a seminar on the topic of "GPU and Cluster Computing and MATLAB" at the COEX Conference Room in Seoul.

MATLAB is a leading technical computing language used by over a million engineers and scientists to share ideas and collaborate, enabling tasks that previously took days to months to complete to be processed in a short period of time. It has been used as a computing engine for discovery and innovation for over 30 years and is currently utilized for algorithm development, data analysis, visualization, and numerical analysis in various fields such as automotive, aerospace, telecommunications, semiconductors, and finance.

Hosted by MathWorks Korea, this seminar will run for approximately four hours, from 1:00 PM to 5:00 PM. Held in collaboration with global graphics card manufacturer NVIDIA, the seminar covers MATLAB computing utilizing NVIDIA GPUs and MATLAB computing in cluster environments. The target audience includes engineers and researchers working with GPU and cluster programming, as well as experts in mathematical modeling, image processing, and signal processing seeking information on high-performance computing in GPU and cluster environments. Those interested in developing enterprise solutions are also welcome to attend.

The seminar consists of a total of three sessions, and in the first session, NVIDIA General Manager Yoo Hyun-gon will give a lecture on GPU computing, GPU architecture, and acceleration methods using GPUs under the theme of 'Introduction to NVIDIA GPU Computing and Application Acceleration Methods'. For the remaining session, Jun-Sang Um, an Application Engineer at MathWorks Korea, will present on 'MATLAB Computing with NVIDIA GPUs' and 'MATLAB Computing in Multicore and Cluster Environments.' Through this session, he plans to deliver content on mathematical modeling using GPUs, machine learning application development, and efficient MATLAB programming.

Lee Jong-min, CEO of MathWorks Korea, stated, “Tasks such as mathematical modeling and algorithm development supported by MATLAB require a large amount of computer memory, so one must know how to utilize high-performance computing resources,” adding, “We organized this seminar to provide useful information on MATLAB computing in cluster environments and GPU utilization methods so that professionals in related fields can work more efficiently with MATLAB.”