optimization

问题 I have one page name as: CustomerList.aspx on which i am displaying list of customers. This is my table and class files too: public partial class Customer { public int CustomerID { get; set; } public string FullName { get; set; } public string EmailId { get; set; } public int CustomerLocation { get; set; } public bool IsActive { get; set; } public bool Removed { get; set; } public DateTime SubscribeDate { get; set; } public Location _Location; } public partial class Location { public int

问题 I have one page name as: CustomerList.aspx on which i am displaying list of customers. This is my table and class files too: public partial class Customer { public int CustomerID { get; set; } public string FullName { get; set; } public string EmailId { get; set; } public int CustomerLocation { get; set; } public bool IsActive { get; set; } public bool Removed { get; set; } public DateTime SubscribeDate { get; set; } public Location _Location; } public partial class Location { public int

问题 When I profile my program's heap usage with -hy flag like ./prog +RTS -hy I often see the constructor * in the results, along with other constructors such as [] and Word8 . What is the type * in this context? Is it related to kinds ? 回答1: Quoted from Real World Haskell: There's also some heap allocated data of unknown type (represented as data of type "*"). And in the GHC User's Guide: For closures which have function type or unknown/polymorphic type, the string will represent an

问题 There are some good posts on here (such as this one) on how to make a circular buffer in MATLAB. However from looking at them, I do not believe they fit my application, because what I am seeking, is a circular buffer solution in MATLAB, that does NOT involve any copying of old data. To use a simple example, let us say that I am processing 50 samples at a time, and I read in 10 samples each iteration. I would first run through 5 iterations, fill up my buffer, and in the end, process my 50

问题 As it currently stands, this question is not a good fit for our Q&A format. We expect answers to be supported by facts, references, or expertise, but this question will likely solicit debate, arguments, polling, or extended discussion. If you feel that this question can be improved and possibly reopened, visit the help center for guidance. Closed 7 years ago . I have often been told that I should not use multiple return points, instead I should just use one: take for example this function;

问题 As it currently stands, this question is not a good fit for our Q&A format. We expect answers to be supported by facts, references, or expertise, but this question will likely solicit debate, arguments, polling, or extended discussion. If you feel that this question can be improved and possibly reopened, visit the help center for guidance. Closed 7 years ago . I have often been told that I should not use multiple return points, instead I should just use one: take for example this function;

问题 Following my question on whether the CLR could use compressed pointers, the answer was that it's pretty pointless. Still, some JVMs are implementing it, so what are the concrete benefits of this optimization, since gaining 4 bytes doesn't seem worth it? 回答1: There is huge value in compressed references. First, on x86, 64 bit modes unlock 8 new registers to be used, which is a huge performance win. Second, using 4 byte instead of 8 byte headers / object pointers significantly improves cache

问题 Consider the following code using numpy arrays which is very slow : # Intersection of an octree and a trajectory def intersection(octree, trajectory): # Initialize numpy arrays ox = octree.get("x") oy = octree.get("y") oz = octree.get("z") oe = octree.get("extent")/2 tx = trajectory.get("x") ty = trajectory.get("y") tz = trajectory.get("z") result = np.zeros(np.size(ox)) # Loop over elements for i in range(0, np.size(tx)): for j in range(0, np.size(ox)): if (tx[i] > ox[j]-oe[j] and tx[i] < ox

问题 I have a application that solves a system of equations in CUDA, I know for sure that each thread can find up to 4 solutions, but how can I copy then back to the host? I'm passing a huge array with enough space to all threads store 4 solutions (4 doubles for each solution), and another one with the number of solutions per thread, however that's a naive solution, and is the current bottleneck of my kernel. I really like to optimize this. The main problem is concatenate a variable number of

问题 I've written an abstract base class for unit tests that sets up just enough environment for our tests to run. The class exposes some of the runtime environment bits as properties whose types vary test by test (the property types are type arguments specified in the inheriting, concrete test class). This is all well and good, except a co-worker noticed that he can't view any of the class' properties in the debugger. Turns out the reason is that he had no fields defined in his inheriting class,