On April 10th, 2015, I was fortunate to travel from Hillsboro, Oregon to San Francisco, California especially to take part in the International NASA Space App Challenge hosted at Constant Contact. The challenge was held for two days in 133 cities around the world focusing on 4 themes: Earth, outer space, humans, and robotics.
I have unintentionally raised a large debate recently concerning the question if it is legal in C/C++ to use the &P->m_foo expression with P being a null pointer. The programmers' community divided into two camps. The first claimed with confidence that it wasn't legal while the others were as sure saying that it was. Both parties gave various arguments and links, and it occurred to me at some point that I had to make things clear. For that purpose, I contacted Microsoft MVP experts and Visual C++ Microsoft development team communicating through a closed mailing list.
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++)