Master's Thesis
Performance Analysis of Intel Gen9.5 Integrated GPU Architecture
2018
—Key information
Authors:
Supervisors:
Published in
06/19/2018
Abstract
CPUs have since the last years come equipped with integrated GPUs. Such coupling has the potential to offer performance improvements if said GPUs are used as accelerators. However, integrated GPUs can hardly reach the performance levels obtained with discrete GPUs due to having lower core counts. Nevertheless, their proximity to the CPU allows for sharing of data with less overhead. Furthermore, the advantages of sharing the same memory hierarchy and the lower power consumption at the cost of performance, allows for high energy efficiency gains. This thesis aims to characterize the Intel GPU micro-architecture and to benchmark its performance upper-bounds to study the limits of its energy efficiency. Through exposing the Intel GPU's performance counters, greater insights can be gleamed about how to extract peak performance from the architecture and how to best exploit the shared memory hierarchy.
Publication details
Authors in the community:
Hélder Francisco Pereira Duarte
ist426276
Supervisors of this institution:
Aleksandar Ilic
ist166430
Fields of Science and Technology (FOS)
electrical-engineering-electronic-engineering-information-engineering - Electrical engineering, electronic engineering, information engineering
Publication language (ISO code)
eng - English
Rights type:
Embargo lifted
Date available:
04/12/2019
Institution name
Instituto Superior Técnico