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Primo Webcast Italiano su Intel Realsense

Il primo Webcast di introduzione alla tecnologia Intel Realsense si e' svolto Lunedi' 15 Settembre 2014 per mano di Massimo Bonanni e mia, in qualita' di Intel Software Innovator per Realsense italiani.

La sessione prevedeva la presentazione delle caratteristiche del nuovo SDK ed alcune demo per vedere il Sistema in Azione in anteprima.

Alla fine e' abbiamo presentato il nuovo Realsense App Challenge 2014, la grande competizione aperta a tutti I developer con un montepremi da capogiro: 1 Milione di DOLLARI!

 

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

初次使用spring3结合hibernate4做项目,迅速配置完成,测试,一切正常。

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

当然,hibernate4的session是和当前线程绑定的,多线程中用sessionFactory.getCurrentSession()获取当前session自然不存在,不存在又不会自动创建,所以抛出了异常,无可厚非。

于是就想着怎么解决这个问题。

遍翻google、baidu,大部分都说如何如何配置,设置事务的传播属性propagation="REQUIRED",开启opensessioninview filter等等,无一对此问题有何解释(当然或许是我没翻到,有知道的麻烦告知)

在http://sishuok.com/forum/blogPost/list/2625.html#7523上看到相关配置,我就想作者这个项目该多线程运行正常吧,果断下载源码,修改测试,oh。。。跟我的错一模一样!

Intel® Parallel Computing Center at Indiana University

The Indiana University Intel® Parallel Processing Center (Intel® PCC) is a multi-component interdisciplinary center. The initial activities involve Center Director Judy Qiu, an Assistant Professor in the School of Informatics and Computing, and Distinguished Professor of Physics Steven Gottlieb. Qiu will be researching novel parallel systems supporting data analytics and Gottlieb will be adapting the physics simulation code of the MILC Collaboration to the Intel® Xeon Phi™ coprocessor.
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  • Intel® Parallel Computing Center at King Abdullah University of Science and Technology

    The Intel® Parallel Computing Center (Intel® PCC) at King Abdullah University of Science and Technology (KAUST) aims to provide scalable software kernels common to scientific simulation codes that will adapt well to future architectures, including a scheduled upgrade of KAUST’s globally Top10 Intel-based Cray XC40 system.
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  • Intel® Parallel Computing Center at Princeton University, Princeton Neuroscience Institute and Computer Science Dept.

    Intel® Xeon Phi™ coprocessors, based on Many-Integrated-Core (MIC) architecture, offer an alternative to GPUs for deep learning, because its peak floating-point performance and cost are on par with a GPU, while offering several advantages such as easy to program, binary compatible with host processor, and direct access to large host memory. However, it is still challenging to fully take advantage of the hardware capabilities. It requires running many threads in parallel (e.g. 240+ threads for 60+ cores), executing 16 floating point operations in parallel (for AVX-512), and reducing the working set for each thread (128KB L2 cache per thread).
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  • Using Intel MKL and Intel TBB in the same application

    Intel MKL 11.3 Beta has introduced Intel TBB support.

    Intel MKL 11.3 beta Update can increase performance of applications threaded using Intel TBB. Applications using Intel TBB can benefit from the following Intel MKL functions:

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