Filtros

Forum topic

Single binary for both 32 and 64 OS

Hi there,

Autor jinliang w. Última actualización 16/01/2017 - 03:15
Forum topic

Nested parallelisation problem OMP + MKL

I am attempting to parallelise calls to mkl within a parallel omp region to test whether or not the code executes faster.

Autor marko l. Última actualización 16/01/2017 - 04:53
Forum topic

Error generating license file

Greetings,

Autor Jakob Pinterits Última actualización 16/01/2017 - 04:55
Forum topic

pardiso performance vs Mumps

Hello,

Running my first Pardiso (cluster) program, and benchmark Mumps. I was expecting that pardiso would be faster or at least close enough but the result is not very encouraging.

Autor canal g. Última actualización 16/01/2017 - 04:56
Forum topic

Interpolate1D "in place" allowed ?

Hi everyone,

Autor Guillaume A. Última actualización 16/01/2017 - 02:50
Forum topic

Misleading error message (from declaring a friend function)

Hello, the icpc returns on the following code an error: 'error: "a" has already been declared in the current scope ', which is misleading as the error can be solved by declaring the function (like

Autor Thomas K. Última actualización 16/01/2017 - 02:33
Article

利用 Neon* 传输学习

NERVANA 已经加入 英特尔
Autor admin Última actualización 16/01/2017 - 02:09
Article

扩展机器学习,满足人工智能日益增长的要求

Scaling distributed machine learning is challenging as it pushes the limits of available data and model parallelism, as well as inter-node communication. Intel’s new Deep Learning tools (with the upcoming integration of Nervana’s cloud stack) are designed to hide/reduce the complexity of strong scaling time-to-train and model deployment tradeoffs on resource-constrained edge devices without...
Autor admin Última actualización 16/01/2017 - 02:02
Mensajes en el blog

代码现代化:在 CERN 支持科学发现,推动全球创新(第二部分)

采访 CERN 开放实验室的首席技术官 Maria Girone

Autor Russ Beutler (Intel) Última actualización 16/01/2017 - 01:48
Para obtener información más completa sobre las optimizaciones del compilador, consulte nuestro Aviso de optimización.