Simple CUDA code

In Progress

This project should be very easy to a any CUDA developer, it's purpose is to demonstrate the a difference in run time of a simple matrix multiplication program when it's written once without shared memory and another time with shared memory. I will provide specific details and files later on.

Skills: C Programming, CUDA, GPGPU

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About the Employer:
( 1 review ) Jerusalem, Israel

Project ID: #4013018

Awarded to:


Hi, Is a comparison between shared vs. global memory all that you want, when it comes to matrix multiplication? Or do you want to test on other types of memory, also? Thanks, Nicu

$60 USD in 1 day
(1 Review)

6 freelancers are bidding on average $103 for this job


Can do this.

$150 USD in 2 days
(5 Reviews)

Let me help you. Please check PMB!

$150 USD in 2 days
(14 Reviews)

In my portfolio there are several completed CUDA projects. Please send details.

$100 USD in 2 days
(11 Reviews)

Hello, i register to freelancer because i see your project. I have a lot of expirience writing CUDA applications. I used to optimize application using CUDA,SIMD,Multithreading models. I can give you a full report of t More

$60 USD in 5 days
(0 Reviews)

I am specialized in performance analysis for parallel algorithms in different memory architectures (shared/distributed/hybrid).

$100 USD in 3 days
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