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按我给的CUDA的属性,将C++函数改编为CUDA核函数

$30-250 USD

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Posted over 10 years ago

$30-250 USD

Paid on delivery
按我给的CUDA的属性设计线程和块 将CPU实现改编为GPU实现(如下: bool canMerge函数改写为_device_ bool canMerge void merge函数改写为_device_ void merge void findEssential函数改写为_global_ void findEssential 从CPU端初始化内存中的值如showData(dataFile,imp,minx,count); 将内存中的值传到显存 从GPU端获得 eimp[ecount] = imp[i]; eimp[ecount++].mark = false值 并传输到CPU端 画出编程的流程图
Project ID: 5022792

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2 proposals
Remote project
Active 10 yrs ago

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2 freelancers are bidding on average $269 USD for this job
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Dear sir! I can do it It'll be my honor to work for you. I'll do my best to complete the project on time.
$315 USD in 3 days
5.0 (2 reviews)
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I translated your request in google translator. and i think i can do this job, but i reallly neeed more description about the job. please provide more information if u want to this job to be done. ---------- According to my properties to the CUDA threads and block design Adapted for the realization of the CPU GPU implementation (as follows: bool canMerge function rewritten _device_ bool canMerge void merge function is rewritten as _device_ void merge void findEssential function rewritten _global_ void findEssential From the CPU side initialization value in memory as showData (dataFile, imp, minx, count); The value passed in memory memory Obtained from the GPU side eimp [ecount] = imp [i]; eimp [ecount + +]. mark = false values And transmitted to the CPU side Draw a flowchart programming
$222 USD in 1 day
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Member since Oct 13, 2013

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