This paper demonstrates a special version of Caffe* — a deep learning framework originally developed by the Berkeley Vision and Learning Center (BVLC) — that is optimized for Intel® architecture.
This tutorial shows how to install Offload over Fabric (OoF) software on 2nd generation Intel® Xeon Phi™ processor, configure the hardware, test the basic configuration, and enable OoF
In this tutorial, we demonstrate some possible ways to optimize an application to run on the Intel® Xeon Phi™ processor
Financial service customers need to improve financial algorithmic performance for models such as Monte Carlo, Black-Scholes, and others. SIMD programming can speed up these workloads. In this paper, we perform data layout optimizations using two approaches on a Black-Scholes workload for European options valuation from the open source Quantlib library.
学习如何在英特尔® 至强融核™ 处理器中使用 MPI-3 共享内存