HUCAA 2013 - International Workshop on Heterogeneous and Unconventional Cluster Architectures and Applications (HUCAA)

The workshop on Heterogeneous and Unconventional Cluster Architectures and Applications gears to gather recent work on heterogeneous and unconventional cluster architectures and applications, which might have a big impact on future cluster architectures. This includes any cluster architecture that is not based on the usual commodity components and therefore makes use of some special hard- or software elements, or that is used for very special and unconventional applications. In particular we call for GPUs and other accelerators (Intel MIC/Xeon Phi, FPGA) used at cluster level. Other examples include virtualization, in-memory storage and device-to-device communication on the software side. We are in particular encouraging work on disruptive approaches, which may show inferior performance today but can already point out their full performance potential. The broad scope of the workshop facilitates submissions on unconventional uses of hardware or software, gearing to gather ideas that are coming to life now and not limiting them except for their context: clusters.
We are seeking new proposals presented from a holistic perspective. In this regard, one of the aims of the workshop is anticipating the evolution of clusters. Instead of just presenting new work carried out in the traditional cluster areas usually addressed in other conferences and workshops, we are thinking on creating the right atmosphere for a discussion of opportunities in cluster computing. In this regard, contributions would not only be accepted according to their technical merits but also according to their contribution to this discussion.
Topics of Interest
Topics of interest include any heterogeneous or unconventional cluster architecture or application. Examples include, but are not limited to:
Clustered GPUs or other accelerators
High-performance, data-intensive, and power-aware computing
Application-specific clusters, datacenters, and cloud architectures
New industry and technology trends and their potential impact
Emerging programming paradigms for parallel computing
Software cluster-level virtualization for consolidation purposes
Hardware techniques for resource aggregation
Management layers for large-scale systems
New uses of GPUs, FPGAs, and other specialized hardware