Cutting-edge Test Bed Cluster Architecture Based on Intel Xeon Phi Coprocessor
نویسنده
چکیده
منابع مشابه
Performance Evaluation of Sparse Matrix Multiplication Kernels on Intel Xeon Phi
Intel Xeon Phi is a recently released high-performance coprocessor which features 61 cores each supporting 4 hardware threads with 512-bit wide SIMD registers achieving a peak theoretical performance of 1Tflop/s in double precision. Many scientific applications involve operations on large sparse matrices such as linear solvers, eigensolver, and graph mining algorithms. The core of most of these...
متن کاملCluster-level tuning of a shallow water equation solver on the Intel MIC architecture
The paper demonstrates the optimization of the execution environment of a hybrid OpenMP+MPI computational fluid dynamics code (shallow water equation solver) on a cluster enabled with Intel Xeon Phi coprocessors. The discussion includes: 1. Controlling the number and affinity of OpenMP threads to optimize access to memory bandwidth; 2. Tuning the inter-operation of OpenMP and MPI to partition t...
متن کاملPartition Around Medoids Clustering on the Intel Xeon Phi Many-Core Coprocessor
The paper touches upon the problem of implementation Partition Around Medoids (PAM) clustering algorithm for the Intel Many Integrated Core architecture. PAM is a form of well-known k-Medoids clustering algorithm and is applied in various subject domains, e.g. bioinformatics, text analysis, intelligent transportation systems, etc. An optimized version of PAM for the Intel Xeon Phi coprocessor i...
متن کاملCharacterization of Intel Xeon Phi for Linear Algebra Workloads
This study focuses on applicability of Intel Xeon Phi coprocessor for some of the Basic Linear Algebra Subprograms (BLAS) subroutines. Based on Many Integrated Core (MIC) architecture, the vector processing unit (VPU) in Xeon Phi coprocessor provides data parallelism at a very fine grain, working on 512 bits of 16 single-precision floats or 32-bit integers at a time. In our work we analyze how ...
متن کاملCoprocessors: An Early Performance Comparison
The demand for more and more compute power is growing rapidly in many fields of research. Accelerators, like GPUs, are one way to fulfill these requirements, but they often require a laborious rewrite of the application using special programming paradigms like CUDA or OpenCL. The Intel R © Xeon Phi TM coprocessor is based on the Intel R © Many Integrated Core Architecture and can be programmed ...
متن کامل