PDSG Research
Parallel, High-Performance Systems
We are interested in how advances in technology and architecture can lead to better performance in parallel, high-perfomance systems. The main focus of our work is to develop optimizations for applications, ranging from extremely parallel ones (e.g. SPMV) to inherently serial ones (e.g. Dijkstra's algorithm). These applications are studied on a variety of systems, like PC clusters, multicore and multithread platforms as well as emerging architectures like GPGPUs and the Cell B/E. At the same time we are also looking at the underlying hardware structures and we try to improve their performance. In this context, current research efforts range from algorithms for resource (e.g. caches) partitioning between multiple cores to the development of efficient I/O and scheduling techniques.
- Parallelizing for Multicore Platforms
List of conferences
Here is a
list of conferences that are of interest to the Parallel and High-Performance Systems group at CSLab.
Acknowledgements
Research in these areas is performed using Simics, running on an academic site license kindly provided by Virtutech. Intel Hellas has generously contributed to the infrastructure of our group.
Distributed Systems
- Large Scale Data Management
List of conferences
Here is a
list of conferences that are of interest to the Distributed Systems group at CSLab.
PDSG People
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