AHPAMA 2018 - 1st International Workshop on Advances in High-Performance Algorithms Middleware and Applications

The Workshop on Advances in High-Performance Algorithms Middleware and Applications is an international forum which brings together researchers and practitioners working on different high-performance aspects of algorithms, middleware and technologies enabling novel applications. Middleware technologies include tools to assemble together different resources such as parallel supercomputers, data archives, high-speed storage systems, advanced visualization devices and scientific instruments using high speed networks connecting geographically distributed devices and organizations. Many recent international efforts are actively fostering the development of such applications and technologies. The Workshop will allow exchanging ideas and results related to on-going research, focusing on high-performance aspects of algorithms and applications.
Creating breakthrough parallel algorithms for high-performance applications requires addressing several key computing problems which may lead to novel solutions and new insights in interdisciplinary applications. The focus of the workshop is on all forms of advances in high-performance algorithms middleware and applications, and related topics. For example, the following topics are relevant to the workshop:
- Scalable message-passing parallel algorithms using MPI
- Scalable shared-memory parallel algorithms using OpenMP
- GPGPU parallel algorithms using OpenCL or CUDA
- Green High-Performance Computing
- Exploiting modern parallel architectures including FPGA, many-cores and multi-cores for parallel applications
- Middleware for high-performance computing
- Benchmarking and performance studies of high-performance applications
- Novel programming paradigms to support high-performance computing
- Performance models for high-performance applications and middleware
- Efficient job scheduling for high-performance applications
- Performance-aware resource reservation
- Security-related performance issues
- Programming models, tools, and environments for high-performance computing
- Caching, streaming, pipelining, and other optimization techniques for data management in high-performance computing
- Peer-to-peer systems for high-performance grid and cloud environments
- Optimization techniques for mobile grids