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TY  - THES
AU  - Alt, Lukas
TI  - Performance metrics for access pattern-aware analysis of heterogeneous memory power consumption in HPC
PB  - RWTH Aachen University
VL  - Masterarbeit
CY  - Aachen
M1  - RWTH-2023-10152
SP  - 1 Online-Ressource : Illustrationen, Diagramme
PY  - 2023
N1  - Veröffentlicht auf dem Publikationsserver der RWTH Aachen University
N1  - Masterarbeit, RWTH Aachen University, 2023
AB  - In response to the rising demand for memory performance and capacity, memory heterogeneity in HPC systems increased. In particular, technologies such as high-bandwidth memory (HBM) and high-capacity memory (HCM) are employed in addition to DRAM. While the power consumption of the memory subsystem was often neglected in node-level power optimizations in the past, the increased power consumption by HCM motivates studying the energy consumption of heterogeneous memory on the latest architectures under workloads with different memory access patterns. A method for measuring the memory energy consumption using hardware instrumentation of memory slots is described and implemented. Measurements using this approach are compared to RAPL, a software interface for limiting and controlling power consumption on Intel systems. Results show that RAPL energy measurements for the memory domain can differ significantly - up to 120
LB  - PUB:(DE-HGF)19
DO  - DOI:10.18154/RWTH-2023-10152
UR  - https://publications.rwth-aachen.de/record/972397
ER  -