|CCL 12.01.22 Parallel Processing for Imaging Applications, San Francisco, CA|
From: chemistry-request at ccl.net
To: chemistry-request at ccl.net
Date: Wed Jun 8 16:43:58 2011
Subject: 12.01.22 Parallel Processing for Imaging Applications, San Francisco, CA
Parallel Processing for Imaging Applications
Papers submitted to this conference should explore parallel computational design principles and their implementations under physical constraints for imaging applications.
Recent business and technological trends have resulted in an explosion in the availability and types of digital imagery sources, data and display systems. At the same time, the scaling rate of the computational capability of individual processing units has slowed dramatically. Instead, there has been massive growth in the total number of connected computation devices and software parallel programming environments are rapidly evolving to enable these devices to work in concert and in parallel. From the localized processors of multi-core CPUs, many-core graphics processing unit ( GPUs) and high capacity FPGA fabrics to the more widely distributed processors of map-reduce programming and cloud computing systems, designers and researchers now can target a wide range of parallel architectures and parallel programming resources to efficiently solve computationally complex imaging problems.
While physical and business constraints including power, speed, and cost are aggressively pushing the compute and imaging infrastructure towards parallel deployment, imaging is both a key consumer and driver of the evolution of this infrastructure. The data throughput requirements and degree of data dependence of imaging applications indicate a good match between parallel architectures and imaging applications; similarly, the choice of parallel architectures often reflects the structure of the imaging problem targeted by the application. This complementary relationship suggests that measures of parallel efficiency can formalize the definition of many imaging problems. Thus, it is the objective of this conference to explore the intersection of imaging and parallelism through examination of new parallel designs, design tools and theoretical statements concerning the problem of mapping imaging problems onto parallel compute fabrics.
We expect papers in this conference to combine principles and techniques for parallelism, such as:
Other novel parallel programming techniques, constructs, abstractions, and implementations with an understanding of imaging applications, such as:
Deadline for Abstracts: 11 July 2011NOTE THAT E-MAIL ADDRESSES HAVE BEEN MODIFIED!!!
All @ signs were changed to || to fight spam. Before you send e-mail, you need to change || to @
For example: change joe||big123comp.com to email@example.com
Please let colleagues know about conference listingts at Computational Chemistry List Conference Page at http://www.ccl.net/chemistry/a/conferences/.
Please help: If you find this conference list useful but you noticed some conference missing, please consider including it here by using the Conference Submission Page. It is free but your support is welcome. You will help others!!!
|Modified: Wed Jun 8 20:43:58 2011 GMT|
|Page accessed 4482 times since Wed Jun 8 20:43:59 2011 GMT|
Please help maintain CCL: If you found that your conference is listed here, please consider supporting CCL as a Supporting Member or use other Paid Services of CCL to ensure the continuation of this useful service. We cannot do it without your help.