|
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
|
