HAC 2012 - International Workshop on Heterogeneus Architectures and Computing

High performance computing (HPC) has significantly evolved during the last decades. The remarkable evolution of networks, the raise of multi-core technology and the use of hardware accelerators have made it possible to integrate up to hundreds of thousands cores into the current petaflop machines. This scenario has led to the emergence of massively parallel and heterogeneous systems composed of a variety of different types of computational units, such as distributed environments composed of multicore nodes some of which include hardware accelerators, like GPUs or FPGAs.
However, the design and implementation of efficient parallel algorithms for heterogeneous systems is still a very important challenge. The diverse architectures, interconnection networks, parallel programming paradigms as well as the presence of system heterogeneity have a pervasive impact on algorithm performance and scalability.
The traditional parallel algorithms, programming environments and development tools as well as theoretical models are not applicable to the high performance parallel heterogeneous systems currently available. Therefore, we need a thorough analysis of these new systems to propose new ideas, innovative algorithms and tools, as well as theoretical models for modelling and working properly and efficiently with heterogeneous clusters
The workshop is intended to be a forum for researchers working on algorithms, programming languages, tools, and theoretical models aimed at efficiently solving problems on heterogeneous networks.
Topics of interest
Authors are invited to submit papers of original and unpublished research in all areas related to parallel algorithms, tools and applications for heterogeneous and reconfigurable architectures, including multi-cores, and hardware accelerators like FPGAs and GPUs. Topics of interest include, but are not limited to:
Parallel programming paradigms and tools for Heterogeneous Systems
Parallel heterogeneous architectures
Parallel algorithms for efficient problem solving on heterogeneous platforms
Performance and scalability models for heterogeneous architectures
Parallel and distributed algorithms
High performance reconfigurable architectures
Fault tolerance on heterogeneous environments
Resource allocation and scheduling
Load balancing for heterogeneous environments
Communication performance models for high performance heterogeneous systems
Cluster, Grid and Cloud computing
Ubiquitous computing
Applications on heterogeneous parallel systems
Interconnection networks
Runtime support for parallel environments
Parallel algorithms for heterogeneous or reconfigurable systems
Tools and libraries for developing parallel applications on heterogeneous systems
Task and communication scheduling
Task coordination and workflow