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招聘专家
CUDA Developers
来进行各种工作

成千上万名用户使用Freelancer.com实现了他们的梦想。
立即招聘顶级CUDA Developer
受到知名品牌和初创公司的信任
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雇佣CUDA Developers

头像monthly-level-four.svg Sanaa O.
CUDA Developer
$30每小时
4.8 (420 工作)
查看个人简历
头像verified.svg TechPlus
CUDA Developer
$25每小时
4.8 (408 工作)
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头像verified.svg Live Experts ®
CUDA Developer
$50每小时
4.9 (322 工作)
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头像monthly-level-two.svg Miguel Angel R.
CUDA Developer
$30每小时
5.0 (316 工作)
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头像preferred-freelancer-v2.svgverified.svg Omar Faruk
CUDA Developer
$60每小时
4.8 (245 工作)
查看个人简历
头像verified.svgannual-level-three.svg Mohammed Ibrahim
CUDA Developer
$40每小时
5.0 (234 工作)
查看个人简历
头像verified.svgannual-level-four.svg Kamaldeep Singh K.
CUDA Developer
₹40每小时
5.0 (195 工作)
查看个人简历
头像verified.svgannual-level-two.svg Athanasios K.
CUDA Developer
€27每小时
5.0 (182 工作)
查看个人简历
查看更多CUDA Developers
客户给我们的CUDA Developers打分
4.91分,共5分
来自4,695个评论

如何雇佣一名优秀的威客CUDA Developer

In simple terms “CUDA is an API Model and parallel computing platform which has been developed by NVIDIA”. CUDA enabled graphic processing unit which is used to carry out all-purpose function processing and is normally known as GPGPU.
Designing of CUDA is done to ensure its smooth compatibility and working with a number of programming languages including FORTRAN, C++, C and others. Direct 3D and OpenGL which were the formerly launched products of API solutions demanded highly developed and sophisticated set of skills in graphic programming. CUDA was released into market to provide an uncomplicated alternative for parallel programming experts to make the most of GPU resources. Programming frameworks like Open ACC and OpenCL are also supported by CUDA.
Windows XP, Windows Vista, Windows7, Linux and OS x are the supported operating systems with CUDA. Both 32-bit and 64-bit versions are well aided and facilitated by these operating systems. CUDA supports a range of applications like Badaboook (video calling), MotionDSP (vReal), Arcsoft (simHD), Cyberlink (PowerDirector &) and Pegasys (TMPGEnc 4.0 Xpress).
Benefits and Application of CUDA
Using graphic APIs CUDA is found to have numerous benefits over traditional purpose computation:
Amalgamated essential memory present in CUDA 4.0 version and succeeded versions.
Incorporated memory present in CUDA 6.0 version and latest versions
Pooled/ shared memory available to be mutually used amongst threads
Enabling quicker downloads and rapid checking of readbacks with GPU
It contains integer texture lookup offering complete help for bitwise and integers operations and working
Scattered reads enabling the code to be read from any arbitrary location in memory
CUDA has profound applications in countless fields including:
Biology
Chemistry
Physics
Data mining
Astronomy
Manufacturing
Finance and other calculation demanding fields
Certifications
Due to an immensely rising need of CUDA experts 350 universities around the globe are offering relevant certifications. Hundreds and thousands of papers related to CUDA have been published and following programs are the latest upgrades to help improve individual skills and knowledge base.
CUDA Certification Program - the program aims at certifying specialists in massively parallel programming on GPUs. The certification is designed to meet up the rising demand of GPGPU engineers
CUDA Research Centres - this program acknowledges establishments that hold GPU Computing across multiple research fields
CUDA Teaching Centres - this officially imply institutions that have included GPU Computing techniques into their mainstream computer programming core curriculum
Facing Difficulty in Finding The CUDA Expert?
If you are in urgent need of CUDA expert to accomplish daunting tasks involving parallel computing and programming interface then hunting the right freelancer via Freelancer.com is the most convenient method for selection. The potential and aptitude of the individual can be easily judged with associated credentials and reviews.
Simply log onto the Freelancer.com website and search through a bank of talented freelancers who are willing and able to provide their services to you for your project.
 
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如何聘用一名CUDA Developer进行工作

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立刻雇用一名高级CUDA Developer

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从CUDA项目中获得灵感
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