Ogden Calendar

The show uses the planetarium’s new digital technology to move through the solar system and look at new evidence from the Mars Science Laboratory rover (“Curiosity”) that, in the distance past, Mars had a habitat conducive to life. Combining full dome videos, the simulation potential of the new digital projector, amazing images shot right on Mars and stirring music, the 45-minute show is suitable for all ages.

Show times are 7 p.m. Tuesdays and Thursdays and 2 p.m. Sundays through May 12. Admission is free. Note that the show will begin on time, with no late entrance permitted. The Hardin Planetarium is located at the corner of College Heights Boulevard and State Street.

Show times and dates are:

• Tuesday, March 26, 7 p.m.
• Thursday, March 28, 7 p.m.
• Sunday, March 31, 2 p.m.
• Tuesday, April 2, 7 p.m.
• Thursday, April 4, 7 p.m.
• Sunday, April 7, 2 p.m.
• Tuesday, April 9, 7 p.m.
• Thursday, April 11, 7 p.m.
• Sunday, April 14, 2 p.m.
• Tuesday, April 16, 7 p.m.
• Thursday, April 18, 7 p.m.
• Sunday, April 21, 2 p.m.
• Tuesday, April 23, 7 p.m.
• Thursday, April 25, 7 p.m.
• Sunday, April 28, 2 p.m.
• Tuesday, April 30, 7 p.m.
• Thursday, May 2, 7 p.m.
• Sunday, May 5, 2 p.m.
• Tuesday, May 7, 7 p.m.
• Thursday, May 9, 7 p.m.
• Sunday, May 12, 2 p.m.

Contact: Ronn Kistler, (270) 745-4044.

Also at 1 pm

To register: https://www.mathworks.com/company/events/webinars/wbnr75590.html?s_v1=53367011_1-4LZGZ

In this webinar, you’ll see how MATLAB supports CUDA kernel development by providing a high level language and development environment for prototyping algorithms and incrementally developing and testing CUDA kernels.  Product demonstrations will highlight how MATLAB can be used to:

• Write prototype code to explore algorithms before implementing them in CUDA
• Quickly evaluate kernels for different input data
• Analyze and visualize kernel results
• Write test harnesses to validate that kernels are working correctly

You will see how MATLAB reduces the amount of code required for evaluating and testing kernels compared with lower level languages such as C or Fortran.  You will also see how the GPU-enabled functionality in MATLAB lets you take advantage of GPU computing without having to write CUDA kernels or learn low-level GPU computing libraries.

Previous knowledge of MATLAB is not required for this webinar.

Please allow 60 minutes for the presentation and Q&A.

About the Presenters:

Dan Doherty, MathWorks
Dan works as a Partner Manager at MathWorks, focusing on NVIDIA and other partners in the HPC area. Prior to working as Partner Manager, Dan was a Product Manager at MathWorks for over 5 years, focusing on MATLAB and core math and data analysis products.  Dan received a B.S.E. and M.S.E. in Mechanical Engineering from the University of New Hampshire, where his research focused on prediction of cutting forces during CNC machining.

Jonathan Bentz, NVIDIA
Jonathan Bentz is a Solution Architect with NVIDIA, focusing on Higher Education and Research customers. Prior to NVIDIA Jonathan worked for Cray as a software engineer in the Scientific Libraries group working on dense linear algebra and FFT software. Jonathan obtained a PhD in physical chemistry and an MS in computer science from Iowa State University.

Duration: 60:00