AbstractObtaining exascale performance is a challenge. Although the technology of today features hardware with very high levels of concurrency, exascale performance is primarily limited by energy consumption. This limitation has lead to the use of GPUs and specialized hardware such as many integrated core (MIC) co-processors and FPGAs for computation acceleration. The Intel Xeon Phi co-processor, built upon the MIC architecture, features many low frequency, energy efficient cores. Applications, even those which do not saturate the large vector processing unit in each core, may benefit from the energy-efficient hardware and software of the Xeon Phi. This work explores the energy savings of applications which have not been optimized for the c...
Dynamic frequency and voltage scaling (DVFS) techniques have been widely used for meeting energy co...
Dynamic voltage and frequency scaling of the CPU has been identified as one of the most effective wa...
Abstract—As we move to exascale machines, both peak power and total energy consumption have become p...
Obtaining exascale performance is a challenge. Although the technology of today features hardware wi...
AbstractObtaining exascale performance is a challenge. Although the technology of today features har...
Energy consumption of processors and memories is quickly becoming a limiting factor in the deploymen...
Intel\u27s Xeon Phi coprocessor has successfully proved its capability by being used in Tianhe-2 and...
A variety of computer systems from HPC to mobile systems are power limited and performance sensitive...
This whitepaper studies the execution speed of the Intel Xeon Phi coprocessor when running a molecul...
This article provides a comprehensive study of the impact of performance optimizations on the energy...
As power consumption being the first order constraint to build microprocessors, they are required to...
Multi-core platforms are employing a greater number of heterogeneous cores and resource configuratio...
This paper presents a technique called "workload decomposition" in which the CPU workload ...
Energy management is a problem of all types of computing devices. For example, short battery life is...
Abstract—Large-scale simulations produce massive data that needs to be stored on parallel file syste...
Dynamic frequency and voltage scaling (DVFS) techniques have been widely used for meeting energy co...
Dynamic voltage and frequency scaling of the CPU has been identified as one of the most effective wa...
Abstract—As we move to exascale machines, both peak power and total energy consumption have become p...
Obtaining exascale performance is a challenge. Although the technology of today features hardware wi...
AbstractObtaining exascale performance is a challenge. Although the technology of today features har...
Energy consumption of processors and memories is quickly becoming a limiting factor in the deploymen...
Intel\u27s Xeon Phi coprocessor has successfully proved its capability by being used in Tianhe-2 and...
A variety of computer systems from HPC to mobile systems are power limited and performance sensitive...
This whitepaper studies the execution speed of the Intel Xeon Phi coprocessor when running a molecul...
This article provides a comprehensive study of the impact of performance optimizations on the energy...
As power consumption being the first order constraint to build microprocessors, they are required to...
Multi-core platforms are employing a greater number of heterogeneous cores and resource configuratio...
This paper presents a technique called "workload decomposition" in which the CPU workload ...
Energy management is a problem of all types of computing devices. For example, short battery life is...
Abstract—Large-scale simulations produce massive data that needs to be stored on parallel file syste...
Dynamic frequency and voltage scaling (DVFS) techniques have been widely used for meeting energy co...
Dynamic voltage and frequency scaling of the CPU has been identified as one of the most effective wa...
Abstract—As we move to exascale machines, both peak power and total energy consumption have become p...