MKL VSL example for grouppooledcovariance (vsldgrouppooledcovariance.f) failed with PGI threading layer.
Grouppooledcovariance example crashs with segmentation fault with PGI threading layer on all platforms due to error in PGI support of OpenMP order clause.
Intel MKL 11.3 has introduced Intel TBB support.
This year marks the tenth anniversary of Intel® Threading Building Blocks (Intel® TBB).
Please notes: Deep Neural Network(DNN) component in MKL is deprecated since intel® MKL 2019 and will be removed in the next intel® MKL Release.
深度神经网络 (DNN) 处于机器学习领域的前沿。这些算法在 20 世纪 90 年代后期得到了行业的广泛采用，最初应用于诸如银行支票手写识别等任务。深度神经网络在这一任务领域已得到广泛运用，达到甚至超过了人类能力。如今，DNN 已用于图像识别、视频和自然语言处理以及解决复杂的视觉理解问题，如自主驾驶等。DNN 在计算资源及其必须处理的数据量方面要求非常苛刻。
There is a long discussion talking about the advantages of Procedural Programming vs. the advantages of Object Oriented Programming.
By now, many of you have heard of Intel® Transactional Synchronization Extensions (Intel® TSX).
(This work was done by Vivek Lingegowda during his internship at Intel.)