Communication Driven Mapping of Applications on Multicore Platforms

Though transistor scaling yields more transistors per chip, however, the consistent performance gain due to frequency scaling is no more feasible due to physical limits. These trends shifted the computational paradigm towards integration of more and more processing cores. Multicore computing is challenging, not only because applications need to...

Efficient Learning of Communication Profiles from IP Flow Records

The task of network traffic monitoring has evolved drastically with the ever-increasing amount of data flowing in large scale networks. The automated analysis of this tremendous source of information often comes with using simpler models on aggregated data (e.g. IP flow records) due to time and space constraints. A step towards utilizing IP flow...

Hybrid Interconnect Design for Heterogeneous Hardware Accelerators

Heterogeneous multicore systems are becoming increasingly important as the need for computation power grows, especially when we are entering into the big data era. As one of the main trends in heterogeneous multicore, hardware accelerator systems provide application specific hardware circuits and are thus more energy efficient and have higher...