posted by user: brandstaetter || 8420 views || tracked by 13 users: [display]

PBC 2011 : Workshop on Parallel Computational Biology

FacebookTwitterLinkedInGoogle

Link: http://pbc.ppam.pl/
 
When Sep 11, 2011 - Sep 14, 2011
Where Torun, Poland
Submission Deadline Apr 30, 2011
Notification Due Jun 15, 2011
Final Version Due Oct 31, 2011
Categories    high performance computing   bioinformatics   computational biology
 

Call For Papers

The goal of this Workshop is to present the latest research in high-performance computing applied to bioinformatics and computational biology. We are especially interested in parallel and distributed algorithms, memory efficient algorithms, and design of high-performance software for clusters, grids and clouds. Submission of articles dealing with parallelization of applications on multi-/many-core, massively parallel systems, accelerator architectures and large distributed systems are specifically encouraged.

IMPORTANT DATES:
Submission Deadline: April 30, 2011 (23:59 CET)
Notification of Acceptance: June 15, 2011
Camera-ready Papers: October 31, 2011

Related Resources

ISAEB 2026   2026 3rd International Symposium on Agricultural Engineering and Biology
ICIAI--EI 2027   2027 the 11th International Conference on Innovation in Artificial Intelligence (ICIAI 2027)
DTMBIO 2026   The 20th International Conference on Data and Text Mining in Biomedical Informatics
KNLP 2027   Knowledge and Natural Language Processing Track @ ACM SAC 2027
MEN 2026   9th International Conference on Mechanical Engineering
CCAT 2026   ACM--2026 5th International Conference on Computer Applications Technology (CCAT 2026)
CSITY 2026   12th International Conference on Computer Science, Engineering and Information Technology
ICAICI 2026   IEEE 2026 International Conference on Artificial Intelligence, Cyber-Physical Systems and Intelligent Computing
IEEE-ICAICI 2026   2026 International Conference on Artificial Intelligence, Cyber-Physical Systems and Intelligent Computing
BMLI 2026   7th International Conference on Big Data, Machine Learning and IoT