Specific topics for this issue include, but are not limited to, the following:

Category 1: HPC

Multi-Scale / Multi- Physics HPC applications
Exploration of large data sets on HPC systems
Multicore/manycore architectures in scientific applications
GPU support for applications
Cluster, Grid and Cloud Computing in scientific applications
Parallelization of compute or data-intensive tasks in scientific applications
Data handling, integration and visualization in scientific applications
Programming paradigms for high performance computing in scientific applications
Scheduling in high performance computing for scientific applications
Tools and programming environments supporting high performance computing in scientific application

Category 2: Clouds

self-management in Clouds and federation of Clouds
interoperability between Clouds
portability of Cloud based applications
architectures for automatic management of applications based on multiple Clouds
model-driven architectures for multiple Cloud usage scenarios tools, frameworks and processes to enable the transition from the
traditional IT delivery model to the (multi)cloud delivery model
reliability and security of Cloud services (applications)
open-source support for Cloud computing
Cloud provider selection mechanisms to achieve performance and other non-functional requirements
applications using multiple Clouds

Submitted papers must be properly formatted according to the journal's instructions, which can be found at: http://www.scpe.org/index.php/scpe/about/submissions#authorGuidelines

The SCPE journal has a rigorous peer-review process and your extended paper will be send to at least two independent academic referees. However, papers that do not merit publication (for any reason) can be rejected by the Special Issue Editor without further review.

Submitted papers must be unpublished and not under review in any other journal or conference (submissions that violate this requirement will be regarded as self-plagiarism and treated accordingly).

Scalable Practice: Computing and Experience, is a quarterly open access journal indexed in Scopus, DBLP, DOAJ, EBSCO, and CiteFactor.