utilization

Quantitative metrics for parallelism

Deadly 提交于 2019-12-11 14:23:11
问题 Some parameters have been described in the Advanced computer architecture book by Hwang, e.g Speedup, Efficiency, Redundancy, Utilization and Quality as shown in the picture below. I understand all and partially understand the last parameter, quality. The question is, why quality has inverse relationship with the redundancy. As said, redundancy shows the matching between software parallelism and the hardware. For example, one processor runs one unit instruction, therefore, O(1)=1. By O(n) we

Dual-core CPU utilization w/ single Java thread running [duplicate]

非 Y 不嫁゛ 提交于 2019-12-04 04:03:52
Possible Duplicate: Would a multithreaded Java application exploit a multi-core machine very well? I have a plain and simple Java thread like this running on my dual-core machine (Windows XP 32bit enviroment) public static void main(String[] strs) { long j = 0; for(long i = 0; i<Long.MAX_VALUE; i++) j++; System.out.println(j); } My expectation was that it would stick to a single CPU to fully exploit the high-speed cache(since in the loop we keep operating with local variable j, hence one CPU utiliaztion would be 100% and the other would be pretty much idle. To my suprise both of the CPUs are

Windows Azure and dynamic elasticity

安稳与你 提交于 2019-11-29 07:22:21
Is there a way do do dynamic elasticity in Windows Azure? If my workers begin to get overloaded, or queues start to get too full, or too many workers have no work to do, is there a way to dynamically add or remove workers through code or is that just done manually (requires human intervention) right now? Does anyone know of any plans to add that if its not currently available? There's a Service Management API, and you can use that to scale your application (from code running in Windows Azure or from code running outside of Windows Azure). http://msdn.microsoft.com/en-us/library/ee460799.aspx

How to write super-fast file-streaming code in C#?

与世无争的帅哥 提交于 2019-11-26 23:41:37
I have to split a huge file into many smaller files. Each of the destination files is defined by an offset and length as the number of bytes. I'm using the following code: private void copy(string srcFile, string dstFile, int offset, int length) { BinaryReader reader = new BinaryReader(File.OpenRead(srcFile)); reader.BaseStream.Seek(offset, SeekOrigin.Begin); byte[] buffer = reader.ReadBytes(length); BinaryWriter writer = new BinaryWriter(File.OpenWrite(dstFile)); writer.Write(buffer); } Considering that I have to call this function about 100,000 times, it is remarkably slow. Is there a way to