Student

Abstract: 3D-stacking is a new approach to building CPUs that has the potential to increase performance thanks to low memory access latency. However, stacking components on top of each other increases power density, which results in worse thermals.

Abstract: This thesis introduces program-specific performance statistics as a Central Processing Unit (CPU) scheduling parameter within the context of the HotSniper chip architecture simulation toolchain. The parameter allows for a higher level of program-tailored scheduling, as opposed to the ubiquitous metrics such as types of latency and CPU utilization.

Abstract: This thesis gives a general introduction into closed queueing networks, describes mean value analysis and formulates a closed queueing network model that predicts the parallel execution time of multiple benchmarks when the isolated execution time is known.