Scaling up to computer clusters, grid environments or cloudsįaculty, staff, researchers and students are all welcome to attend.Employing multi-core processors and GPUs to speed up your computations.Automatically generating portable C code from MATLAB.Optimizing MATLAB code to boost execution speed.We will also address common pitfalls in writing MATLAB code, explore the use of the MATLAB Profiler to find bottlenecks, introduce our parallel computing tools to solve computationally and data-intensive problems on multicore computers and clusters, and finally talk about tools to automatically translate your MATLAB code into C. ![]() In this session, we will discuss and demonstrate simple ways to improve and optimize your code that can boost execution speed by orders of magnitude. Session 2: Optimizing and Accelerating MATLAB Code Integrating and running analytics within enterprise business systems and interactive web applications.Prototyping, testing, and refining predictive models using machine learning methods.Techniques for cleaning, exploring, visualizing, and combining complex multivariate data sets.Accessing, exploring, and analyzing data stored in files, the web, and data warehouses.Using machine learning techniques, you will see how you can manage raw data, identify key features that impact your model, train multiple models, and perform model assessments. In this seminar, you will learn approaches and techniques available in MATLAB to tackle these challenges. However, developing effective analytics and integrating them into business systems can be challenging. Using Data Analytics to turn large volumes of complex data into actionable information can help you improve engineering design and decision-making processes. ![]() Highlights Session 1: Data Analytics and Machine Learning using MATLAB Please join Texas A&M University High Performance Research Computing (HPRC) and MathWorks on June 7th. Session 2: Optimizing and Accelerating MATLAB Code 2:45pm - 4:15pm Session 1: Data Analysis and Machine Learning using MATLAB 1:00pm - 2:30pm Location: Interdisciplinary Life Sciences Building (ILSB) - Room 1105 Data Analytics and Machine Learning using MATLAB & Optimizing and Accelerating MATLAB Code Date: June 7, 2017
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