Intel® System Studio 2016 Beta Update 1 - Linux* Host
The 60 Pin Debug Port (XDP) Specification Document (DPS) specifies the open chassis Platform requirements to implement a 60 Pin XDP connector to use PHG XDP debug tools and third party vendors that support the 60 Pin XDP interface.
Since Skylake platform, internal boards that will be used as a reference to external customers are required to implement 1 X Merged 60 Pin XDP Connector.
We are excited to announce the next release of the Intel® OpenMP* Runtime Library at openmprtl.org. This release aligns with Intel® Parallel Studio XE 2015 Composer Edition Update 4.
- Debugger support interface added to the OSS library
- Fixed implementation of task 'final' clause
- Fixed a crash that occurred when task dependence was used
- Fixed hierarchical barrier in oversubscription case
I am starting to dig into the runtime source code and I am wondering if there is any information available about its general organization/design. I am mostly interested in the "task"-related topics, for instance how are inter-task dependencies detected, which scheduling algorithms are implemented, and such things.
Thanks in advance.
I'm recently learning to use openMP, it can schedule multiple threads for processing speeding up. My host PC has 4 cores, each core has 4 hardware threads. Does openMP also support scheduling multiple cores for processing?
As a simple example, I have below code with omp enabled.
#pragma omp parallel num_threads(4)
for (i = 0; i < 5; i++)
Intel® MKL 11.3 Beta (released in April 2015) contains significant performance and scalability improvements for the direct sparse solver (a.k.a. Intel MKL PARDISO), on SMP systems. These improvements particularly benefit the Intel Xeon Phi coprocessors and Intel Xeon processors with large core counts. As an example, the chart below shows a 1.7x to 2.5x speedup of Intel MKL 11.3 Beta over Intel MKL 11.2, when using the PARDISO to solve various sparse matrices on an Intel Xeon Phi coprocessor with 61 cores.