GPU Summit 2014
Download the GPU Summit Program as a PDF
Monday October 27, 2014
Stamp Student Union, Atrium
| 8 – 8:30 a.m. | Registration, Breakfast |
| 8:30 – 10 a.m. | Keynote Session |
8:30 a.m. |
Fran LoPresti Welcome Address: GPUs at Maryland |
8:40 a.m. |
David Luebke Computational Displays: How GPU Horsepower and Novel Optics to Enable Thin, Light, Wide-angle Virtual and Augmented Reality |
9 a.m. |
Amitabh Varshney Augmented Reality Made More Real |
9:20 a.m. |
GPU Panel for Medicine Chair: Terry Yoo Panelists: Peter Bajcsy, Raj Shekhar and Oleg Kuybeda |
| 10 – 10:30 a.m. | Coffee Break |
| 10:30 a.m. – 12 p.m. | Research Overview Session I |
10:30 a.m. |
Alex Szalay Data Intensive Science Using GPUs |
10:50 a.m. |
Michael Cummings GPU Computing and the Tree of Life |
11:10 a.m. |
Jeff Hollingsworth Automatically Tuning Performance and Power for GPUs |
11:30 a.m. |
Satyandra K. Gupta GPU-Enabled Computing in Robotics and Advanced Manufacturing Applications |
11:50 a.m. |
Joseph JaJa Mapping Biomedical Applications onto GPU Platforms |
| 12:10 – 1:30 p.m. | Lunch |
| 1:30 – 3 p.m. | Research Overview Session II |
1:30 p.m. |
Norman Wereley Particle Simulations in Magnetorheological Flows |
1:50 p.m. |
Jeffery Klauda Molecular Modeling of Biomolecules: How Can GPUs Advance Research? |
2:10 p.m. |
Shuvra Bhattacharyya Vectorization and Mapping of Software Defined Radio Applications On GPU Platforms |
2:30 p.m. |
Lorena Barba PyGBe for probing protein orientation near charged surfaces |
| 3 – 3:30 p.m. | Coffee Break |
| 3:30 – 5 p.m. | Research Overview Session III |
3:30 p.m. |
Ramani Duraiswami Fast Heterogeneous Computing |
3:50 p.m. |
Laura Monroe Probabilistic Computing on the GPU |
4:10 p.m. |
GPU Panel for High-Throughput Computing Chair: Jimmy Lin Panelists: Raju Namburu, George Stantchev, and R. Jacob Vogelstein |
Tuesday October 28, 2014
Stamp Student Union, Prince George's Room
| 8 a.m. | Intro to GPU Computing: High-level discussion of GPU computing. Slides: CUDA Background, Driver/Toolkit/Samples Code: Workshop Code |
| 9:15 a.m. | Programming with OpenACC: Using simple directives to accelerate code |
| 11:30 a.m. | Basics of CUDA Programming, Part 1: CUDA syntax, memory allocation, launching simple kernels |
| 12:30 - 1:30 p.m. | Lunch |
| 1:30 p.m. | Basics of CUDA Programming, Part 2: CUDA syntax, memory allocation, launching simple kernels |
| 2:30 p.m. | Fundamental GPU performance optimizations (3 hrs.): Using the performance profiler; global and shared memory optimizations |
Wednesday October 29, 2014
Stamp Student Union, Prince George's Room
| 9:00 a.m. | Intermediate Optimizations (3 hrs.): Overlapping communication with computation; streams and concurrency |