Are there any standard ways ( using profilers ) to check if using these gcc recognized branch prediction macros can benefit certain clock cycles in terms of instruction pipelining? How can we measure
I am using Python\'s (v2.4) profile module to profile a numpy script, and the following entry appears to account for the bulk of the execution time:
I profiled my code with both JProfiler and YourKit. However, I haven\'t been able to figure out how to detect which piece of code is responsible for high CPU load.
Is it possible to set up 开发者_JAVA技巧exclusion/inclusion filters in profiler to have wildcard character in the beginning?
I\'d like to use a memory profiler to determine if I have memory links in a fairly complicated windows service written in C#, that has a large number of running threads. If I loop the code in the serv
I\'ve been asked a question during recent interview that goes lik开发者_如何学JAVAe: In a Java EE app, when load increases its performance goes down, and at some point application stops responding.
I enabled the whole error-section but it only says smth like: Exception: Error converting data type nvarchar to datetime.
开发者_如何学JAVAWe are working on a web-application which preliminary using Struts2+Spring 3.x+Hibernate 3.x.We are taking in to consideration of using good profiling tool to avoid any potential prob
I run Windows XP SP3 on my virtual machine. There I use开发者_运维知识库 Visual C++ Express a CLR profiler for .net 2.0
I\'m playing around with the concurrency visualize开发者_StackOverflowr in VS2010.It\'s a great feature but I am having trouble identifying the threads where my Parallel.ForEach ran.I\'m attaching a s
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