我想优化我的代码,这是用C++写的,我使用英特尔VTune性能分析器探查.当我正在识别的Linux platform.For 热点,它成功运行的二进制可执行文件我已经指定,然后给其路径错误: " 数据无法显示,没有可用于数据的视点".
任何人都可以帮助您排序此错误.
我有固件升级的要求.我打算使用USB DFU类.但在我的情况下,固件升级命令将来自PC应用程序.所以我需要切换到系统内存中的bootloader.最初我正在运行应用程序,因此它从用户闪存启动,即我为用户闪存配置了Boot0和Boot 1引脚.由于DFU引导加载程序存在于系统闪存中,现在需要更改Boot0和Boot1引脚设置.有没有像启动0和启动1设置保持用户闪存相同的方式,在应用程序中我们跳转到系统内存?
我想在嵌入式开发项目中使用 Jenkins 使用 C 或 C++ 语言。由于我是 Jenkins 的初学者,我想知道 Jenkins 的 C 和 C++ 插件是什么,哪个是 C 单元测试框架支持?请帮助..
我正在探索英特尔线程构建模块中的Parallel_Scan组件,它用于关联操作,我发现Parallel_Scan比串行完成的时间多10倍.
我写的代码是:
#include <iostream>
#include <stdlib.h>
#include <time.h>
#include "tbb/task_scheduler_init.h"
#include "tbb/blocked_range.h"
#include "tbb/parallel_scan.h"
#include "tbb/tick_count.h"
using namespace std;
using namespace tbb;
template <class T>
class Body
{
T reduced_result;
T* const y;
const T* const x;
public:
Body( T y_[], const T x_[] ) : reduced_result(0), x(x_), y(y_) {}
T get_reduced_result() const {return reduced_result;}
template<typename Tag>
void operator()( const blocked_range<int>& r, Tag )
{
T temp = reduced_result;
for( int i=r.begin(); i<r.end(); ++i )
{
temp = temp+x[i];
if( …
Run Code Online (Sandbox Code Playgroud) 我正在研究TBB中的任务实现,并运行了Fibonacci系列的并行和连续计算代码.
守则是:
#include <iostream>
#include <list>
#include <tbb/task.h>
#include <tbb/task_group.h>
#include <stdlib.h>
#include "tbb/compat/thread"
#include "tbb/task_scheduler_init.h"
using namespace std;
using namespace tbb;
#define CutOff 2
long serialFib( long n ) {
if( n<2 )
return n;
else
return serialFib(n-1) + serialFib(n-2);
}
class FibTask: public task
{
public:
const long n;
long* const sum;
FibTask( long n_, long* sum_ ) : n(n_), sum(sum_) {}
task* execute()
{
// cout<<"task id of thread is \t"<<this_thread::get_id()<<"FibTask(n)="<<n<<endl; // Overrides virtual function task::execute
// …
Run Code Online (Sandbox Code Playgroud) 我正在开发一个代码,其中需要声明大小为150000的double的数组,并且当一个数组声明代码正在成功运行时.如果我们声明两个数组然后执行它终止抛出异常.
Code is :
double a[150000];
double b[150000];
Run Code Online (Sandbox Code Playgroud)
如果我们声明一个只有它然后它完美地执行.如果声明a和b然后它终止.谁能建议如何解决这个问题?
我正在执行一个过滤器代码.这个代码在Visual Studio和代码块中给出了不同的结果.预期的结果是代码块给出的结果.但是,由于我必须使用英特尔线程构建块,我必须使用Visual Studio.请帮助找出原因存在差异的原因.
Code is :
#include <stdio.h>
#include <stdint.h>
#include <cstring>
#include <iostream>
#include <fstream>
#include <math.h>
#include <time.h>
using namespace std;
#define pi 3.141593
#define FILTER_LEN 265
double coeffs[ FILTER_LEN ] =
{
0.0033473431384214393,0.000032074683390218124,0.0033131082058404943,0.0024777666109278788,
-0.0008968429179843104,-0.0031973449396977684,-0.003430943381749411,-0.0029796565504781646,
-0.002770673157048994,-0.0022783059845596586,-0.0008531818129514857,0.001115432556294998,
0.0026079871108133294,0.003012423848769931,0.002461420635709332,0.0014154004589753215,
0.00025190669718400967,-0.0007608257014963959,-0.0013703600874774068,-0.0014133823230551277,
-0.0009759556503342884,-0.00039687498737139273,-0.00007527524701314324,-0.00024181463305012626,
-0.0008521761947454302,-0.00162618205097997,-0.002170446498273018,-0.002129903305507943,
-0.001333859049002249,0.00010700092934983156,0.0018039564602637683,0.0032107930896349583,
0.0038325849735515363,0.003416201274366522,0.002060848732332109,0.00017954815260431595,
-0.0016358832300944531,-0.0028402136847527387,-0.0031256650498727384,-0.0025374271571154713,
-0.001438370315670195,-0.00035115295209013755,0.0002606730012030533,0.0001969569787142967,
-0.00039635535951198597,-0.0010886127490608972,-0.0013530057243606405,-0.0008123200399262436,
0.0005730271959526784,0.0024419465938120906,0.004133717273258681,0.0049402122577746265,
0.0043879285604252714,0.002449549610687005,-0.00040283102645093463,-0.003337730734820209,
-0.0054508346511294775,-0.006093057767824609,-0.005117609782189977,-0.0029293645861970417,
-0.0003251033117661085,0.0018074390555649442,0.0028351284091668164,0.002623563404428517,
0.0015692864792199496,0.0004127664681096788,-0.00009249878881824428,0.0004690173244168184,
0.001964334172374759,0.0037256715492873485,0.004809640399145206,0.004395274594482053,
0.0021650921193604,-0.0014888595443799124,-0.005534807968511709,-0.008642334104607624,
-0.009668950651149259,-0.008104732391434574,-0.004299972815463919,0.0006184612821881392,
0.005136551428636121,0.007907786753766152,0.008241212326068366,0.00634786595941524,
0.003235610213062744,0.00028882736660937287,-0.001320994685952108,-0.0011237433853145615,
0.00044213409507615003,0.0022057106517524255,0.00277593527678719,0.0011909915058737617,
-0.0025807757230413447,-0.007497632882437637,-0.011739520895818884,-0.013377018279057393,
-0.011166543231844196,-0.005133056165990026,0.0032948631959114935,0.011673660427968408,
0.017376415708412904,0.018548938130314566,0.014811760899506572,0.007450782505155853,
-0.001019540069785369,-0.007805775815783898,-0.010898333714715424,-0.00985364043415772,
-0.005988406030111452,-0.001818560524968024,0.000028552677472614846,-0.0019938756495376363,
-0.007477684025727061,-0.013989430449615033,-0.017870518868849213,-0.015639422062597726,
-0.005624959109456065,0.010993528170353541,0.03001263681283932,0.04527492462846608,
0.050581340787164114,0.041949186532860346,0.019360612460662185,-0.012644336735920483,
-0.0458782599058412,-0.07073838953156347,-0.0791205623455818,-0.06709535677423759,
-0.03644544574795176,0.005505370370858695,0.04780486657828151,0.07898800597378192,
0.0904453420042807,0.07898800597378192,0.04780486657828151,0.005505370370858695,
-0.03644544574795176,-0.06709535677423759,-0.0791205623455818,-0.07073838953156347,
-0.0458782599058412,-0.012644336735920483,0.019360612460662185,0.041949186532860346,
0.050581340787164114,0.04527492462846608,0.03001263681283932,0.010993528170353541,
-0.005624959109456065,-0.015639422062597726,-0.017870518868849213,-0.013989430449615033,
-0.007477684025727061,-0.0019938756495376363,0.000028552677472614846,-0.001818560524968024,
-0.005988406030111452,-0.00985364043415772,-0.010898333714715424,-0.007805775815783898,
-0.001019540069785369,0.007450782505155853,0.014811760899506572,0.018548938130314566,
0.017376415708412904,0.011673660427968408,0.0032948631959114935,-0.005133056165990026,
-0.011166543231844196,-0.013377018279057393,-0.011739520895818884,-0.007497632882437637,
-0.0025807757230413447,0.0011909915058737617,0.00277593527678719,0.0022057106517524255,
0.00044213409507615003,-0.0011237433853145615,-0.001320994685952108,0.00028882736660937287, …
Run Code Online (Sandbox Code Playgroud)