The scope of the conference includes all areas of high performance computing.

The main topics include but will not be limited to:

* Algorithms for High Performance Computing
* Application Oriented High Performance Computing
* Architectures and Systems for High Performance Computing
* Distributed Computing
* Parallel Computing Systems
* Software and Middleware aspects of High Performance Computing



Detailed topics include but will not be limited to:

* Agent and multi agent based applications
* Architectures for ubiquitous and pervasive computing
* Autonomous vehicles and robotics systems
* Benchmarking and assessment
* Bioinformatics and biocomputing
* Brokering middleware
* Causality and time
* Cloud computing
* Compilers
* Computer supported decision making
* Cooperative information systems and applications
* Coordination, consensus and agreement
* Data intensive supercomputing
* Data mining and searching
* Databases, repositories and applications
* Distributed multimedia systems
* Distributed objects and remote invocation
* Distributed shared memory
* Embedded and application-specific architectures
* Enterprise and federated architectures
* Enterprise based technologies
* E-systems: ecommerce, e-business, e-sciences and e-learning
* Fault tolerance and replication
* Federated and legacy applications
* File systems
* Fine-grain parallelism and architectures
* Granular computing and its applications
* Grid and cluster computing
* High performance architectures and Systems
* High performance computing and education
* High performance computing in digital signal, image processing and vision
* High performance I/O
* High performance interconnection networks
* High performance monitoring & instrumentation
* HLA, InfiniBand and related standards
* Innovative high performance computing such as affective, autonomic and quantum
* Instruction-level, thread-level and memory-level parallelism
* Internet and web computing
* Interprocess communication
* Knowledge based systems
* Languages for high performance computing
* Large scale scientific computing
* Large scale systems for computational sciences (biological, chemical, environmental, etc.)
* Learning and intelligence algorithms
* Libraries and programming environments
* Load balancing and sharing
* Markup languages and their applications
* Message passing
* Mobile and wireless applications
* Modeling simulation and evaluation techniques
* Multi-core architectures and support
* Mutual exclusion, deadlock detection
* Name services and naming
* Nature inspired high performance computing architectures
* Network and systems protocols
* Network flow and congestion
* Network, cell and security processors
* Object oriented programming and design
* Operating systems
* Operating systems support
* Parallel and distributed Computing and applications
* Partitioning, mapping, and scheduling
* Peer-to-peer architectures and networks
* Power aware architectures
* Query processing and information retrieval
* Real-time and embedded parallel and distributed applications
* Reconfigurable computing and FPGA Based architectures
* Reliable parallel and distributed algorithms
* Resource allocation, sharing and management
* Routing, synchronization, consistency
* Scalable computing
* Security, authentication, access control
* Sensor, broadband and high performance networks
* Soft computing in high performance computing
* Software development tools and support
* Software monitoring and measurement
* Transaction and concurrency control
* Warehousing and storage
* Web 2.0 infrastructure
* Web semantics and ontologies
* Web services