ScaLAPACK user's guide
The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
Handbook of Computer Vision Algorithms in Image Algebra
Handbook of Computer Vision Algorithms in Image Algebra
Wrapping Legacy Codes for Grid-Based Applications
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
Concurrency and Computation: Practice & Experience
Concurrency and Computation: Practice & Experience - Middleware for Grid Computing
Distributed computing with Triana on the Grid: Research Articles
Concurrency and Computation: Practice & Experience
Numerical Libraries and the Grid
International Journal of High Performance Computing Applications
Integrating legacy Software into a Service oriented Architecture
CSMR '06 Proceedings of the Conference on Software Maintenance and Reengineering
Future Generation Computer Systems
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Resource selection and application execution in a grid: a migration experience from GT2 to GT4
ODBASE'06/OTM'06 Proceedings of the 2006 Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, DOA, GADA, and ODBASE - Volume Part II
User transparent task parallel multimedia content analysis
Euro-Par'10 Proceedings of the 16th international Euro-Par conference on Parallel processing: Part II
Towards user transparent parallel multimedia computing on GPU-Clusters
ISCA'10 Proceedings of the 2010 international conference on Computer Architecture
User Transparent Data and Task Parallel Multimedia Computing with Pyxis-DT
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
User transparent data and task parallel multimedia computing with Pyxis-DT
Future Generation Computer Systems
Optimizing convolution operations on GPUs using adaptive tiling
Future Generation Computer Systems
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The Grid represents a great opportunity for the scientific community to solve computing intensive problems and share data. To actually allow its use, it is necessary to provide specific tools and enable a simplified exploitation of Grid resources. We address these topics in bioinformatics community to process images obtained through Tissue MicroArray technique. We developed Grid Framework for Tissue Microarray Analysis, shortly GF4TMA, that allows the selection and the analysis of TMA images on the Grid. In particular, users can analyse several images concurrently, and analyses are performed in parallel using Parallel IMAGE processing GEnoa Library, shortly PIMA(GE)² Lib. Therefore GF4TMA enables two levels of parallelism, the scheduling and the parallelism of the analyses are hidden to the users. A particular emphasis is posed on the two levels of parallelism provided by GF4TMA, and its effectiveness is discussed simulating different scenarios in Grid.