Obtaining 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 co-proces...
Multi-core platforms are employing a greater number of heterogeneous cores and resource configuratio...
textThis dissertation proves the feasibility of accurate runtime prediction of processor performance...
We examine the possible energy savings by mapping critical software functions from a microprocessor ...
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...
The Intel Xeon Phi coprocessor offers high par- allelism on energy-efficient hardware to minimize en...
A variety of computer systems from HPC to mobile systems are power limited and performance sensitive...
As power consumption being the first order constraint to build microprocessors, they are required to...
In High Performance Computing, being respectful of the environment is usually secondary compared to ...
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...
Due to chip power density limitations as well as the recent breakdown of Dennard's Scalingover the p...
Abstract—Large-scale simulations produce massive data that needs to be stored on parallel file syste...
Multi-core platforms are employing a greater number of heterogeneous cores and resource configuratio...
textThis dissertation proves the feasibility of accurate runtime prediction of processor performance...
We examine the possible energy savings by mapping critical software functions from a microprocessor ...
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...
The Intel Xeon Phi coprocessor offers high par- allelism on energy-efficient hardware to minimize en...
A variety of computer systems from HPC to mobile systems are power limited and performance sensitive...
As power consumption being the first order constraint to build microprocessors, they are required to...
In High Performance Computing, being respectful of the environment is usually secondary compared to ...
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...
Due to chip power density limitations as well as the recent breakdown of Dennard's Scalingover the p...
Abstract—Large-scale simulations produce massive data that needs to be stored on parallel file syste...
Multi-core platforms are employing a greater number of heterogeneous cores and resource configuratio...
textThis dissertation proves the feasibility of accurate runtime prediction of processor performance...
We examine the possible energy savings by mapping critical software functions from a microprocessor ...