benchmarking

问题 For my research I need a CPU benchmark to do some experiments on my Ubuntu laptop (Ubuntu 15.10, Memory 7.7 GiB, Intel Core i7-4500U CPU @ 1.80HGz x 4, 64bit). In an ideal world, I would like to have a benchmark satisfying the following: The CPU should be an official benchmark rather than created by my own for transparency purposes. The time needed to execute the benchmark on my laptop should be at least 5 minutes (the more the better). The benchmark should result in different levels of CPU

问题 So I have set up a hadoop 2.6.0 cluster and I want to run a benchmark to test read a write throughput. I keep reading places that I can use TestDFSIO to do this, but I am not able to find a way to run this program on Hadoop version 2.6.0. Does anyone know how to run this test, or an alternative? 回答1: HiBench has an implementation of DFSIO. You can find HiBench by clicking here. 回答2: You can run TestDFSIO benchmark test in hadoop 2.6.0 by the following command: $ hadoop jar /usr/local/hadoop

问题 I have two examples of the similar program written on Go. Main aim of that code is sort map of structs using value in the struct. Example with pointers package main import ( "fmt" "sort" ) type payload struct { data string value float64 } type container struct { counter int storage map[int]*payload } type payloadSlice []*payload // Len is part of sort.Interface. func (p payloadSlice) Len() int { return len(p) } // Swap is part of sort.Interface. func (p payloadSlice) Swap(i, j int) { p[i], p

问题 I am writing a stress test that will issue many calls to a remote server. I want to collect the following statistics after the test: Latency (in milliseconds) of the remote call. Number of operations per second that the remote server can handle. I can successfully get (2), but I am having problems with (1). My current implementation is very similar to the one shown in this other SO question. And I have the same problem described in that question: latency reported by using System

问题 Running a Java drawing benchmark on a new PC (Core i7-4820K 3.7 GHz, Asus P9X79 LE, GeForce GTX 650, Windows 8.1 and Ubuntu 14.04) appeared to run using vsync at around 60 FPS via Windows with Java RTE 1.7.0_65 . Then, on one later occasion, ran at an expected 400+ FPS, based on speeds on other PCs. Now it is back to 60 FPS. CPU utilisation is almost 0% with GPU at <10% on the lightest test. A new graphics driver made no difference. The same class file obtains 400 FPS via Ubuntu with linux

问题 I'm trying to get Caliper working with maven, I haven't successfully ran a caliper benchmark test as of yet. Caliper version: 1.0-beta-1 My benchmark: public class MyXercesSAXHandlerBenchmark extends Benchmark{ @Param({"10", "100", "1000", "10000"}) private int length; public void timeNanoTime(int reps) { for (int i = 0; i < reps; i++) { System.nanoTime(); } } public static void main(String[] args) { CaliperMain.main(MyXercesSAXHandlerBenchmark.class, args); } } My maven pom.xml has:

问题 I want to use testmapredsort for benchmarking sort in Hadoop. I am NOT using TeraSort now. hadoop-*test*.jar is supposed to contain the testmapredsort class. But I do not see hadoop-*test*.jar in Hadoop2 . hadoop jar hadoop/share/hadoop/common/hadoop-common-2.2.0-tests.jar testmapredsort /data/unsorted-data -sortOutput /data/sorted-data 回答1: In Hadoop 1, testmapredsort is launched from AllTestDriver.java , which was indeed in e.g. hadoop-test-1.2.1.jar . In Hadoop 2, it's now in

问题 I'm going to benchmark ActiveMQ using Jmeter. According to this document, I only need to add the activemq-all.jar to the lib/ directory: $ ll /usr/share/jmeter/lib/ total 12812 drwxr-xr-x 3 root root 4096 Oct 12 16:55 ./ drwxr-xr-x 6 root root 4096 Oct 12 14:11 ../ -rw-r--r-- 1 root root 3800187 Aug 14 2010 activemq-all-5.8.0.jar -rw-r--r-- 1 root root 29071 Sep 26 2010 bshclient.jar drwxr-xr-x 2 root root 4096 Oct 12 14:11 ext/ -rw-r--r-- 1 root root 116075 Sep 26 2010 jorphan.jar then start

问题 I am trying to benchmark Hadoop2 MapReduce framework. It is NOT TeraSort. But testmapredsort . step-1 Create random data: hadoop jar hadoop/ randomwriter -Dtest.randomwrite.bytes_per_map=100 -Dtest.randomwriter.maps_per_host=10 /data/unsorted-data step-2 sort the random data created in step-1: hadoop jar hadoop/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.2.0.jar sort /data/unsorted-data /data/sorted-data step-3 check if the sorting by MR works: hadoop jar hadoop/share/hadoop/mapreduce

问题 I wonder what the benchmark for few rails methods would look like. Anyone got a website that can run custom methods?: User.count #=> 1000000 (Let's say about that) u = User.where(account_id: 5) u.count #=> 100000 u.map |a| a.account_id = 6 end Is there a way to test this sort of benchmark? How slow or fast is that iteration? 回答1: You can use ruby benchmark module for this kind of test require 'benchmark' Benchmark.bm do |x| x.report { User.count } x.report { u = User.where(account_id: 5); u