Call for Papers: EPHAM - Exploiting Parallelism using GPUs and other Hardware-Assisted Methods (Seattle, Mar 09)

http://www.gpgpu.org/EPHAM09


EPHAM - Exploiting Parallelism using GPUs and other Hardware-Assisted
Methods


This workshop will focus on compilation techniques for exploiting
parallelism in emerging massively multi-threaded and multi-core
architectures, with a particular focus on the use of general-purpose
GPU computing techniques to overcome traditional barriers to
parallelization. Recently, GPUs have evolved to address programming of
general purpose computations, especially those exemplified by data
parallel models. This change will have long-term implications for
languages, compilers, and programming models. Development of higher
level programming languages, models and compilers that exploit such
processors will be important. Clearly, the economics and performance
of applications is affected by a transition to general-purpose GPU
computing. This will require new ideas and directions as well as
recasting some older techniques to the new paradigm
Topics of Interest


We invite papers in this emerging discipline which include, but are
not limited, to the following areas of interest.


Static and dynamic parallelization for hybrid CPU/GPU systems
Compiler optimizations for GPU computing
Language constructs and extensions to enable parallel programming with
GPUs
Run-time techniques to off-load computation to the GPU
Language, programming model, or compiler techniques for mapping
irregular computations to GPUs
Debugging support for GPU programs
Performance analysis tools related to GPU computing
Other hardware-assisted methods for extracting and exploiting
parallelism
Important Dates


Feb. 9th 2009: Paper submission deadline
Mar. 8th 2009: Notification of acceptance
Mar. 15th 2009: Camera-ready version of papers due
Mar. 22nd 2009: The workshop
Workshop Organizers


Vinod Grover, NVIDIA Corporation
Richard Johnson, NVIDIA Corporation
Program Committee


Manuel M T Chakravarty, University of New South Wales
Rudi Eigenman, Purdue University
Anwar Ghuloum, Intel
Naga Govindaraju, Microsoft
Wen-mei Hwu, University of Illinois, Urbana-Champaign
Miriam Leeser, Northeastern University
Dinesh Manocha, University of North Carolina
Shane Ryoo, ZeroSoft
Bratin Saha, Intel
Bixia Zheng, AMD
Submission Guidelines


Papers of 6-10 pages may be submitted using any format. The abstract
should clearly state the problem being studied, the methods used, and
the results. If the results are preliminary, the authors should state
their expectation for the final results. To submit, please send a pdf
of your submission to epham2009@nvidia.com Final submissions should
use the standard ACM conference format (two columns with 9 pt Times
Roman font, etc.)

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