Intel's Xeon Phi combines the parallel processing power of a many-core accelerator with the programming ease of CPUs. In this paper, we present a survey of works that study the architecture of Phi and use it as an accelerator for a broad range of applications. We review performance optimization strategies as well as the factors that bottleneck the performance of Phi. We also review works that perform comparison or collaborative execution of Phi with CPUs and GPUs. This paper will be useful for researchers and developers in the area of computer-architecture and high-performance computing
The Intel R Xeon PhiTM is the first processor based on Intel’s MIC (Many Integrated Cores) architect...
In this paper, a set of micro-benchmarks is proposed to determine basic performance parameters of si...
This whitepaper studies the execution speed of the Intel Xeon Phi coprocessor when running a molecul...
As Moore s law continues, processors keep getting more cores packed together on the chip. This thesi...
The goal of this lab exercise is to develop a parallel compute-intensive application to be run on an...
The main topic of this thesis is the implementation and subsequent optimization of high performance ...
Abstract—Accelerators are used in about 13 % of the current Top500 List. Supercomputers leveraging a...
2016The Intel Xeon Phi is a relative newcomer to the scientific computing scene. In the recent year...
The high performance computing landscape is shifting from collections of homogeneous nodes towards h...
The objective of this study is to evaluate the performances of Intel Xeon Phi hardware accelerators ...
Abstract—This paper presents preliminary performance com-parisons of parallel applications developed...
Intel\u27s Xeon Phi coprocessor has successfully proved its capability by being used in Tianhe-2 and...
High performance computing platform is moving from homogeneous individual unites to heterogeneous sy...
In this paper, a set of micro-benchmarks is proposed to determine basic performance parameters of si...
Scientific computing workloads are well suited to parallel accelerators such as GPGPUs and the Intel...
The Intel R Xeon PhiTM is the first processor based on Intel’s MIC (Many Integrated Cores) architect...
In this paper, a set of micro-benchmarks is proposed to determine basic performance parameters of si...
This whitepaper studies the execution speed of the Intel Xeon Phi coprocessor when running a molecul...
As Moore s law continues, processors keep getting more cores packed together on the chip. This thesi...
The goal of this lab exercise is to develop a parallel compute-intensive application to be run on an...
The main topic of this thesis is the implementation and subsequent optimization of high performance ...
Abstract—Accelerators are used in about 13 % of the current Top500 List. Supercomputers leveraging a...
2016The Intel Xeon Phi is a relative newcomer to the scientific computing scene. In the recent year...
The high performance computing landscape is shifting from collections of homogeneous nodes towards h...
The objective of this study is to evaluate the performances of Intel Xeon Phi hardware accelerators ...
Abstract—This paper presents preliminary performance com-parisons of parallel applications developed...
Intel\u27s Xeon Phi coprocessor has successfully proved its capability by being used in Tianhe-2 and...
High performance computing platform is moving from homogeneous individual unites to heterogeneous sy...
In this paper, a set of micro-benchmarks is proposed to determine basic performance parameters of si...
Scientific computing workloads are well suited to parallel accelerators such as GPGPUs and the Intel...
The Intel R Xeon PhiTM is the first processor based on Intel’s MIC (Many Integrated Cores) architect...
In this paper, a set of micro-benchmarks is proposed to determine basic performance parameters of si...
This whitepaper studies the execution speed of the Intel Xeon Phi coprocessor when running a molecul...