1- CUDA: matrix addition
Implement matrix addition in CUDA C = A+B where the matrices are NxN and N is large. This is an extension of the program in the "CUDA by Example" book, which adds two long vectors of length N. Also refer to the [login to view URL] program, which uses 2-dimensional arrays.
In your main program assign (float) values to the elements of A and B: a[i][j] = 2*i + j + 1 and b[i][j] = i + 4*j + 2.
Call your kernel. Then check if all elements of C are correct; if they are correct, print "We did it!".
Also execute the matrix addition sequentially, and time this (nested loop) with gettimeofday(). Compare the time to the execution time of the kernel plus the cudaMemcpy calls (do not include the malloc or the cudaMalloc times), and calculate the speedup. Do this for 10 (large to very large) values of N.
Submit a typescript showing: a listing (with "cat") of your source code, your compilation, and executions with output. Discuss your findings in your report.
2- Implement matrix multiplication.
Hello I am an experienced CUDA programmer and I have already implemented Matrix Multiplication using CUDA. so i have the code available for Matrix Multiplication. So i can complete this project in one day. let me know if you are interested to work with me. hope to hear from you.
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Honored client,
hereby I apply to your job "CUDA: matrix addition & matrix multiplication". I am a C/C++ professional with specialisation in high-performance computing. I have some knowledge in MPI, OpenMP, OpenCL and unfortunately also in CUDA.
Regards,
Andre
Hello,
i have two years of parallel programming experience. Although i don't have much experience in CUDA programming i'm very confident that i can do this.
Regads.
I was the top of my class in computer science and math. I'm well versed in all types of math and computer languages. I'm currently studying CUDA and its applications.
Hello Sir,
I'm a senior DotNet Developer with more than 5 years experience.
I have large skills against OpenGL,Cuda and OpenCL
I look forward to help you with this mini task.
Thank for your consideration
Dear Employer,
I am post graduate in Computer Science and Engineering from India. I did my thesis in the area of parallel computing with CUDA. My work got indexed in Springer Lecture Notes and IEEE digital library by two reputed international conferences. Moreover I have worked under my mentor for developing matrix vector addition,multiplication,jacobi and so on with different parallel paradigms to understand the behaviour of underlying GPU. I have completed MOOC course on Heterogeneous Computing conducted by faculty of University of Illionis. I have NVIDIA based GPU card installed on my machine so troubleshooting, while preparing codes for you wont be an problem.
I will do your work sincerity and will provide quality & timely deliverable.
Thank You.
From,
Bhavin Patel
Hi
I am embedded software engineer having 3.5+ years of experience. I have developed AES-256 encryption algorithm in CUDA language on nVIDIA Graphics card GTX460 which include Matrix addition and multiplication operation. I have also developed Matrix addition and multiplication program in CUDA and C language for speed compare.
Please contact me if you want to more flexible CUDA language program.
Dhvanil Patel