HPC & GPU Supercomputing Group of Silicon Valley
Details
Special topic: GPU-Accelerated Business Intelligence Analytics ( by Ren Wu , Ph.D.) Exchange ideas, meet experts, share code, lectures ... all HPC & GPU, all practical, all cutting-edge.
Agenda:
General Discussions:
6:15-6:30pm What’s new in HPC & GPU Supercomputing
6:30-6:50pm Member self-intros: 30 seconds for each member
Main Program:
6:50-7:50pm GPU-Accelerated Business Intelligence Analytics (Ren Wu, Ph.D.)
7:50-8:00pm Discussions
8:00-8:15pm Short Topic: The Impact of Bitcoin Mining and Hash Cracking on HPC & GPU Supercomputing (Glen Evan)
8:15-8:20pm Discussions
Book Review: GPU Computing Gems
8:20-8:25pm Chapter 17: Monte Carlo Photon Transport on the GPU (Mark Cheung)
8:25-8:30pm Chapter 18: High-Performance Iterated Function Systems (Michael Everest)
Refreshments sponsored by Life Technologies, Inc.
GPU-Accelerated Business Intelligence Analytics
GPUs have been used in many different domains with great success. In this talk I will share some of the work we did at HP Labs on using GPUs as accelerator for deep analytics, a relatively less explored area but full of potential. Our results show that GPUs can bring tremendous performance advantage over CPU only approaches.
Biography:
Dr. Ren Wu is a Research Scientist at HP Labs, Palo Alto. His research interests include data-intensive high-performance computing, massively parallel algorithms and computational intelligence. In recent years he has been focusing on GPU acceleration of large-scale analytics, and is well known for his work on GPU-accelerated clustering algorithms. He is also the PI of the CUDA Research Center at HP Labs.
Location:
Room 109/110;
Carnegie Mellon Silicon Valley;
NASA Research Park Bldg 23;
Mountain View, CA 94043;
Directions (http://www.cmu.edu/silicon-valley/about-us/directions.html) to Carnegie Mellon Silicon Valley;
Google Map (http://maps.google.com/maps/ms?gl=us&hl=en&ie=UTF8&msa=0&ll=37.410941,-122.063169&spn=0.019191,0.048923&t=h&z=15&msid=215438781255871976989.00049cacf6f0e5596e5cc) showing parking, check point, and building entrance;
NOTE: You will need a government issued ID (e.g. Driver's License) to enter NASA Research Park