Purpose

The goal of this session is to discuss the impact of multi-core processors on Earth and Space Science applications and to bring together scientists and developers with a need for increased computing performance, and experts in utilizing this new generation of processors.

The main focus of this session is on science emerging from disruptive technologies. Topics of interest include, but are not limited to application of multi-core, GPU, Cell, FPGA, ASICs, and other non- traditional architectures to simulation, analysis, and other performance-, cost-performance, and power-performance limited activities in the geo and space sciences.

Agenda

Tuesday Morning 1
Time	Session	Location	Title
0800	IN21C	MC 3018	Emerging Multicore Computing Technology in Earth and Space Sciences I (joint with A, AE, GC, P, ES) Presiding: J Michalakes, NCAR; P Messmer, Tech-X Corporation; M Halem, University of Maryland, Baltimore County; S Zhou, NASA Goddard Science Flight Center Print-friendly session details
0800	IN21C-01	MC 3018	Harnessing Petaflop-Scale Multi-Core Supercomputing for Problems in Space Science *B J Albright, L Yin, K J Bowers, W Daughton, B Bergen, T J Kwan INVITED Abstract
0815	IN21C-02	MC 3018	Accelerate Climate Models with the IBM Cell Processor *S Zhou, D Duffy, T Clune, S Williams, M Suarez, M Halem Abstract Presentation
0830	IN21C-03	MC 3018	Geospace simulations on the Cell BE processor *K Germaschewski, J Raeder, D Larson Abstract Presentation
0845	IN21C-04	MC 3018	Benchmarking NWP Kernels on Multi- and Many-core Processors *J Michalakes, M Vachharajani Abstract Presentation
0900	IN21C-05	MC 3018	Hybrid parallelism for Weather Research and Forecasting Model on Intel platforms R Dubtsov, A Semenov, *M Lubin Abstract Presentation
0915	IN21C-06	MC 3018	Accelerating the Computation of Theoretical Spectro-Polarimetric Signals; Comparative Analysis Using the Cell BE and NVIDIA GPU for Implementing the Voigt Function. *J Garcia, R Kelly Abstract Presentation
0930	IN21C-07	MC 3018	Chemical Transport Models on Accelerator Architectures *J Linford, A Sandu Abstract Presentation
0945	IN21C-08	MC 3018	Using GPUs to Meet Next Generation Weather Model Computational Requirements M Govett, L Hart, T Henderson, J Middlecoff, *C Tierney Abstract Presentation

Tuesday Afternoon 1
Time	Session	Location	Title
1340	IN23C	MC Hall D	Emerging Multicore Computing Technology in Earth and Space Sciences II Posters (joint with AE, C, NS, NG, OS, SH) Presiding: J Michalakes, NCAR; P Messmer, Tech-X Corporation; M Halem, University of Maryland, Baltimore County; S Zhou, NASA Goddard Science Flight Center Print-friendly session details
1340	IN23C-1095	MC Hall D	A Power Efficient Exaflop Computer Design for Global Cloud System Resolving Climate Models. *M F Wehner, L Oliker, J Shalf POSTER Abstract Poster
1340	IN23C-1096	MC Hall D	GPU Particle Tracking and MHD Simulations with Greatly Enhanced Computational Speed T Ziemba, D O'Donnell, J Carscadden, *M Cash, R Winglee, E Harnett POSTER Abstract
1340	IN23C-1097	MC Hall D	Performance Evaluation of Emerging High Performance Computing Technologies using WRF *G B Newby, D Morton POSTER Abstract Poster
1340	IN23C-1098	MC Hall D	Computing the Delta-Eddington Approximation for Solar Radiation With Hardware Accelerators: Performance and Programmability on GPUs, FPGAs, and Microprocessors. *R C Kelly, J Garcia POSTER Abstract Poster
1340	IN23C-1099	MC Hall D	Acceleration of Data Analysis Applications using GPUs *D Fillmore, P Messmer, P Mullowney, K Amyx POSTER Abstract
1340	IN23C-1100	MC Hall D	Experiences modeling ocean circulation problems on a 30 node commodity cluster with 3840 GPU processor cores. *c hill POSTER Abstract
1340	IN23C-1101	MC Hall D	Computational Performance of the UAF Eulerian Parallel Polar Ionosphere Model (UAF EPPIM) *S Maurits, A Kulchitsky POSTER Abstract
1340	IN23C-1102	MC Hall D	Cheaper and faster: How to have your cake and eat it too with GPU implementations of Earth Science simulations. *S D Walsh, M O Saar, P Bailey, D J Lilja POSTER Abstract
1340	IN23C-1103	MC Hall D	Utilize multi CPU cores to improve dust simulation performance *J Xie, C Yang, G Pejanovic, B Zhou, Q Huang POSTER Abstract

Last updated Jan. 22, 2009, John Michalakes, michalak@ucar.edu