MAGMA Forum

I solved it !!!! make.inc file: #GPU_TARGET ?= Tesla Fermi Kepler GPU_TARGET = Kepler CC = gcc CXX = g++ NVCC = nvcc FORT = gfortran ARCH = ar ARCHFLAGS = cr RANLIB = ranlib # Defining MAGMA_ILP64 or MKL_ILP64 changes magma_int_t to int64_t in include/magma_types.h # Compiling with -std=c++98 -pedan...

Hello, I reinstall with MAGMA 1.6, but it not works. GPU=Kepler Some examples: ./testing_zgetrf -M 32 -N 32 MAGMA 1.6.0 compiled for CUDA capability >= 3.0 CUDA runtime 6050, driver 6050. OpenMP threads 24. MKL 11.1.0, MKL threads 12. device 0: Tesla K20m, 705.5 MHz clock, 4799.6 MB memory, capabili...

Hello, I installed MAGMA 1.5.0_beta3. My make.inc is: # GPU_TARGET contains one or more of Tesla, Fermi, or Kepler, # to specify for which GPUs you want to compile MAGMA: # Tesla - NVIDIA compute capability 1.x cards # Fermi - NVIDIA compute capability 2.x cards # Kepler - NVIDIA compute capability ...

Ok, thank you very much.

Some error in my compilation occurs and I haven't got the executable file.

I will recompile it.

Hello, I am looking for the time differences between local computation and remote one and I am searching inside the functions. (Other ideas will be welcomed) Taking testing_dorgqr_m example, Time Measurement code is: gpu_time = magma_wtime(); magma_dorgqr_m( m, n, k, hR, lda, tau, hT, nb, &info ); g...

Hello, I am working with multigpus system. In http://icl.cs.utk.edu/magma/news/news.html?id=345 at pdf: http://icl.cs.utk.edu/projectsfiles/magma/pubs/MAGMA_1.4.pdf at the page 24, you expose dsytrd function using it with several gpus. Why you use it? I put different commands and the results are all...

Hello, mark, when you said: The Gflop/s is the total performance of all CPUs + GPUs that MAGMA uses. It is simply (2/3) n^3 / time. What did you exactly refer with, time ? Options: - time initialize cuda driver + data transfer host-device + kernel + data transfer device-host - time initialize cuda d...

Hello,

I am taking times of ejecution and Gflops for this function (dsyr2k).

Which is the main purpose of the function and how works the option nb (size of block)? Is the way of computacion, or packet sending ...?

All the information is wellcoming ;)

Thanks for all.

One question, the output value GFlops/s, when is used with mgpu apps, shows the GFlops/s of 1 gpu or the total number of operations (the gpu total GFlops )?

Thanks

Ok, the output is this one: ./testing_dgetrf_mgpu -c -N 5000 --ngpu 8 MAGMA 1.4.1 , compiled for CUDA capability >= 1.0 device 0: Tesla K20m, 705.5 MHz clock, 4799.6 MB memory, capability 3.5 device 1: Tesla K20m, 705.5 MHz clock, 4799.6 MB memory, capability 3.5 device 2: Tesla K20m, 705.5 MHz cloc...