HCW 2013 - International Heterogeneity in Computing Workshop

With the increasing number of components in heterogeneous parallel and distributed systems, failure is becoming a critical factor that impacts application performance. High-performance computing systems, especially those heading towards exascale, are also becoming increasingly heterogeneous and hierarchical, expecting to routinely employ heterogeneous multicores, various accelerators (such as GPUs), deeper memory hierarchies, and heterogeneous and hierarchical communication networks. This year, HCW is specifically encouraging (but not limited to) submissions that explore paradigms, algorithms, and techniques for high performance heterogeneous computing.
TOPICS
Areas or research interest include, but are not limited to, heterogeneity aspects of:
Parallel algorithms for heterogeneous and hierarchical systems, including manycores and hardware accelerators (FPGAs, GPUs, etc.)
Parallel algorithms for efficient problem solving on heterogeneous platforms
Performance models and their use in the design of parallel and distributed algorithms for heterogeneous platforms
Programming paradigms and tools
Fault tolerance
Resource allocation and scheduling
Computer architectures
Performance evaluation and management
High performance computing
Cluster, Grid and Cloud computing
Peer-to-peer computing
Ubiquitous computing
Application case studies
Task and communication scheduling
Task coordination and workflow