Performance and Energy Usage of Workloads on KNL and
Haswell Architectures
Author/Presenters
Event Type
Workshop
Accelerators
Benchmarks
Compiler Analysis and Optimization
Deep Learning
Effective Application of HPC
Energy
Exascale
GPU
I/O
Parallel Application Frameworks
Parallel Programming Languages, Libraries, Models
and Notations
Performance
Simulation
Storage
TimeMonday, November 13th11:50am -
12:10pm
Location704-706
DescriptionManycore architectures are an energy-efficient step
towards exascale computing within a constrained power
budget. The Intel Knights Landing (KNL) manycore chip is
a specific example of this and has seen early adoption
by a number of HPC facilities. It is therefore important
to understand the performance and energy usage
characteristics of KNL. In this paper, we evaluate the
performance and energy efficiency of KNL in contrast to
the Xeon (Haswell) architecture for applications
representative of the workload of users at NERSC. We
consider the optimal MPI/OpenMP configuration of each
application and use the results to characterize KNL in
contrast to Haswell. As well as traditional DDR memory,
KNL contains MCDRAM and we also evaluate its efficacy.
Our results show that, averaged over our benchmarks, KNL
is 1.84x more energy efficient than Haswell and has
1.27x greater performance.
