In this work we focus on energy performance of the Knights Landing Xeon Phi, the latest many-core architecture processor introduced by Intel for the HPC market. We take into account the 64-core Xeon Phi 7230, and analyze the computing and energy efficiency using both the on-chip MCDRAM and the off-chip DDR4 memory as main storage for the application data domain. As a benchmark application we use a Lattice Boltzmann code heavily optimized for this architecture, and implemented using different memory data layouts to store the data-domain. We then assess the energy consumption using different data-layouts, memory configurations (DDR4 or MCDRAM), and number of threads per core
One of the emerging architectures in HPC systems is Intel’s Knights Landing (KNL) many core chip, wh...
This paper presents the performance analysis for both the computing performance and the energy effic...
Benefits of Intel Xeon Phi Knights Landing (KNL) systems in computing cost are examined with tight-b...
Energy consumption of processors and memories is quickly becoming a limiting factor in the deploymen...
As we move towards exascale computing, the efficiency of application performance and energy utilizat...
Today, one of the main challenges for high-performance computing systems is to improve their perform...
Intel\u27s Xeon Phi coprocessor has successfully proved its capability by being used in Tianhe-2 and...
The Knights Landing (KNL) is the codename for the latest generation of Intel processors based on Int...
In this paper we report results of the analysis of computational performances and energy efficiency ...
In this paper we report results of the analysis of computational performances and energy efficiency ...
The Roofline Performance Model is a visually intuitive method used to bound the sustained peak float...
Abstract—Accelerators are used in about 13 % of the current Top500 List. Supercomputers leveraging a...
Energy consumption has become an important area of research of late.With the advent of new manycore ...
Energy consumption has become an important area of research of late.With the advent of new manycore ...
peer reviewedDue to growth of energy consumption by HPC servers and data centers many research effor...
One of the emerging architectures in HPC systems is Intel’s Knights Landing (KNL) many core chip, wh...
This paper presents the performance analysis for both the computing performance and the energy effic...
Benefits of Intel Xeon Phi Knights Landing (KNL) systems in computing cost are examined with tight-b...
Energy consumption of processors and memories is quickly becoming a limiting factor in the deploymen...
As we move towards exascale computing, the efficiency of application performance and energy utilizat...
Today, one of the main challenges for high-performance computing systems is to improve their perform...
Intel\u27s Xeon Phi coprocessor has successfully proved its capability by being used in Tianhe-2 and...
The Knights Landing (KNL) is the codename for the latest generation of Intel processors based on Int...
In this paper we report results of the analysis of computational performances and energy efficiency ...
In this paper we report results of the analysis of computational performances and energy efficiency ...
The Roofline Performance Model is a visually intuitive method used to bound the sustained peak float...
Abstract—Accelerators are used in about 13 % of the current Top500 List. Supercomputers leveraging a...
Energy consumption has become an important area of research of late.With the advent of new manycore ...
Energy consumption has become an important area of research of late.With the advent of new manycore ...
peer reviewedDue to growth of energy consumption by HPC servers and data centers many research effor...
One of the emerging architectures in HPC systems is Intel’s Knights Landing (KNL) many core chip, wh...
This paper presents the performance analysis for both the computing performance and the energy effic...
Benefits of Intel Xeon Phi Knights Landing (KNL) systems in computing cost are examined with tight-b...