multicore

问题 I am working with a CPU-intensive real time application, and therefore I am trying to reserve a whole core for it. To accomplish this in Windows, I am trying to set the CPU affinity of all running processes to the other cores, and then set the affinity of my real time application to the "free" core. Additionally, I am setting the priority to high. Unfortunately, the following code (129 for testing as it means first and last core on my system) is not changing the affinity of all running

问题 How do you configure SqLite 3 to process a single query using more than 1 core of a CPU ? 回答1: Since version 3.8.7, SQLite can use multiple threads for parallel sorting of large data sets. 回答2: sqlite3 itself does not do that. However, I have a project called multicoresql on github that has utility programs and a C library for spreading sql queries onto multiple cores. It uses sharding so you have to break your large database or datafile into multiple sqlite3 database files. A single SQL

问题 I know how to get the number of physical, and number of logical processors on my machine, but I want to know how many logical processors my application has access to. For instance, I develop on a quad core machine, but I have a number of single core users out there, and in many instances I "dumb down" the interface, or run into locking problems that a multi-core system never experiences. So, to that end I have set up VSTS to build my app in either debug or "Debug Single Core". The goal there

问题 Ok, so I posted in In C# GetEnvironmentVariable("NUMBER_OF_PROCESSORS") returns the wrong number asking about how to get the correct number of cores in C#. Some helpful people directed me to a couple of questions where similar questions were asked but I have already tried those solutions. My question was then closed as being the same as another question, which is true, it is, but the solution given there didn't work. So I'm opening another one hoping that someone may be able to help realising

问题 Now that the iPad 2 comes with two CPU cores, the debugging of threading issues will be more important than ever. Now I'm wondering: Does the iOS-Simulator actually use the multiple cores available on the Mac? 回答1: To run iOS programs on the simulator, Xcode compiles your program for the Intel processor. The simulator does not emulate an ARM processor, so exact execution of threaded code will differ from an iOS device and the simulator. Regardless of how many cores the iOS simulator uses,

问题 I would like to print all states when checking my model. We do get a trail file when an assertion violation occurs but I want to see the states even when there are no assertion violations. How can I do that? 回答1: One option is to compile pan with the gcc flag -DVERBOSE and watch the full details of the verification run. Of course the run will take a while and will spit excessive output, but you will see all the states as they are visited (the format is not very easy to read, but may

问题 I am currently working on an MFC application that needs to be CPU-utilization aware. It may have multiple threads at different points in time, but the bulk of the work is accomplished by the main thread. I am trying to find a way to calculate how much percentage of the CPU this main thread utilizes. However, I am running into some problems as to how exactly to accomplish this in a multi-CPU / multi-Core environment. The problem is that most system calls seems to give system information,

问题 I was wondering if there is multi core support for the OpenCV library. I am experimenting with Haar cascading and it's pretty slow on my Raspberry 2 which would have four cores, but my application is currently running only on a single one. Any ideas? 回答1: CascadedDetect has multi core support. Recompile OpenCV with the WITH_TBB or WITH_OPENMP (or any other threading framework supported by OpenCV) flag on to enable it. 回答2: I've had a brief look at the class CascadeClassifier in modules

问题 I have been reading and trying to understand how does Spark framework use its cores in Standalone mode. According to Spark documentation, the parameter " spark.task.cpus "'s value is set to be 1 by default, which means number of cores to allocate for each task. Question 1: For a multi-core machine (e.g., 4 cores in total, 8 hardware threads), when "spark.task.cpus = 4", will Spark use 4 cores (1 thread per core) or 2 cores with hyper-thread? What will it happen if I set "spark.task.cpus = 16"

问题 Amazon measures their CPU allotment in terms of virtual cores and EC2 Compute Units. EC2 Compute Units are defined as: The amount of CPU that is allocated to a particular instance is expressed in terms of these EC2 Compute Units. We use several benchmarks and tests to manage the consistency and predictability of the performance from an EC2 Compute Unit. One EC2 Compute Unit provides the equivalent CPU capacity of a 1.0-1.2 GHz 2007 Opteron or 2007 Xeon processor. This is also the equivalent