- SOM ANVENDT AF
Fremvist Arbejde fra vores Freelancere
Få mere gjort med Freelancere
Du behøver ikke lave det hele selv
Brug mere tid på, hvad du gør bedst og begynd at få mere gjort.
Hyr for en lille del af normalprisen
Find dig selv en hær af designere, udviklere, marketingsmedarbejdere og forfattere.
Ikke fortryd en dårlig ansættelse
Læs anmeldelser fra rigtige mennesker, så du ved du får det bedste.
As Featured in
Verdens største markedsplads
Millioner af brugere fra små virksomheder til store firmaer, entreprenører til opstartsvirksomheder brug Freelancer til at forvandle deres idéer til virkelighed.
OPRETTEDE JOBS I ALT
Excellent work, super fast, super quality and understood the brief perfectly!
If you're looking for a talented web developer you'll find people like Charchit to help you accomplish your needs.
Ansætning a CUDA Developer på Freelancer
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:
Finance and other calculation demanding fields
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.
Hvordan det fungerer
1. Læg job op
Fortæl os, hvad du har brug for at få lavet på sekunder
2. Vælg freelancere
Få dit først bud på få sekunder og vælg blandt de bedste.
3. Hold øje med fremskridt
Chat med din freelancer og giv deres arbejde en anmeldelse 24/7.
4. Betal sikkert
Kun betal når du er helt tilfreds.
Find CUDA Udviklere nu
Det er hurtigt, nemt og vi har kun brug for nogen få detaljer for at komme i gangFå gratis tilbud