Mensajes en el blog

spring3+hibernate4 service 中多线程事务异常及解决


然而,当我在service层中另外开启一个线程,线程中的方法需要进行数据库操作,这个时候,悲催的抛出了异常:-org.hibernate.HibernateException: No Session found for current thread

Autor Última actualización 04/07/2019 - 21:23

采用 Linux* Containers 的单根输入/输出虚拟化 (SR-IOV)

This paper is a result of a joint CERN openlab-Intel research activity with the aim to investigate whether Linux Containers can be used together with SR-IOV in conjunction and complementary to the existing virtualization infrastructure in the CERN Data Centre. This solution could be potentially applied to the storage nodes, which are principally used for Input/Output operations, while keeping the...
Autor Marco Righini (Intel) Última actualización 05/07/2019 - 11:02

Vectorization Advisor 助您一臂之力

Vectorization Advisor is like having a trusted friend look over your code and give you advice based on what he sees. As you’ll see in this article, user feedback on the tool has included, “there are significant speedups produced by following advisor output, I'm already sold on this tool!”
Autor Última actualización 02/10/2019 - 15:40

案例研究: 针对计算密集型循环对比结构数组和数组结构的数据布局

by Paul Besl

Autor Última actualización 02/10/2019 - 15:42


Our building block is the FD compute kernels that are typically used for RTM (reverse time migration) algorithms for seismic imaging. The computations performed by the ISO-3DFD (Isotropic 3-dimensional finite difference) stencils play a major role in accurate imaging of complex subsurface structures in oil and gas surveys and exploration. Here we leverage the ISO-3DFD discussed in [1] and [2] and...
Autor Leonardo B. (Intel) Última actualización 02/10/2019 - 16:59

基于英特尔® 架构加速金融应用

下载 PDF

Autor George Raskulinec (Intel) Última actualización 03/10/2019 - 08:00

案例研究: 使用分布式优化框架在 Monte Carlo 欧式期权方面实现高级性能

1. 简介

Monte Carlo 使用统计计算方法解决复杂的科学计算问题。 它创新地使用随机数字模拟一个问题输入结果的不确定性,并通过处理重复的参数抽样获得一个确定的结果和解决一些以其他方式无法解决的问题。 该方法最早起源于上世纪 40 年代末,由参与“曼哈顿”计划的核物理学家们率先提出。 并采用摩纳哥最大的赌城 Monte Carlo 来命名。

Autor Última actualización 03/10/2019 - 08:02

应用蚁群优化算法 (ACO) 实施交通网络扩展

In this article an OpenMP* based implementation of the Ant Colony Optimization algorithm was analyzed for bottlenecks with Intel® VTune™ Amplifier XE 2016 together with improvements using hybrid MPI-OpenMP and Intel® Threading Building Blocks were introduced to achieve efficient scaling across a four-socket Intel® Xeon® processor E7-8890 v4 processor-based system.
Autor Sunny G. (Intel) Última actualización 15/10/2019 - 16:40