NVIDIA and VMware have formed a strategic partnership to transform the data center to bring AI and modern workloads to every enterprise.
NVIDIA AI Enterprise is an end-to-end, cloud-native suite of AI and data analytics software, optimized, certified, and supported by NVIDIA to run on VMware vSphere with NVIDIA-Certified Systems. It includes key enabling technologies from NVIDIA for rapid deployment, management, and scaling of AI workloads in the modern hybrid cloud.
After you enter the command “paraview” and If you are encountering errors like “Your OpenGL drivers don’t support required OpenGL, features for basic rendering. Applications cannot continue. Please exit and use an older version. CONTINUE AT YOUR OWN RISK! OpenGL Vendor: Information Unavailable, OpenGL Version: Information Unavailable OpenGL Renderer: Information Unavailable.
The output messages shows
“Unable to find a valid OpenGL 3.2 or later…
failed to create offscreen window
GLEW could not be initialized
To resolve the issue, do run the command, to bypass hardware acceleration
I was trying to delete the files in the folder that has more than 90,000. When I delete the files, I had errors
% /bin/rm : Argument list too long
The issue is that there are too many files and rm is not able to clear. To workaround the issues, you can do the following. Make sure you are in the directory where you want to clear the file.
You should have binary called lmp_g++_openmpi. Do a softlink
% ln -s lmp_g++_openmpi lammps
Make and Run USER-GFMD Units Tests
% cd src/USER-GFMD/
% make unittests
% ./unittests
[==========] Running 23 tests from 5 test cases.
[----------] Global test environment set-up.
[----------] 5 tests from CrystalSurfaceTest
[ RUN ] CrystalSurfaceTest.fcc100
[ OK ] CrystalSurfaceTest.fcc100 (0 ms)
[ RUN ] CrystalSurfaceTest.fcc100_supercell
[ OK ] CrystalSurfaceTest.fcc100_supercell (11 ms)
[ RUN ] CrystalSurfaceTest.reverse_indices
[ OK ] CrystalSurfaceTest.reverse_indices (0 ms)
[ RUN ] CrystalSurfaceTest.fcc100_3nn
[ OK ] CrystalSurfaceTest.fcc100_3nn (0 ms)
[ RUN ] CrystalSurfaceTest.fcc100_neighbor_shells
[ OK ] CrystalSurfaceTest.fcc100_neighbor_shells (0 ms)
[----------] 5 tests from CrystalSurfaceTest (12 ms total)
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.....
.....
Run Tests
% cd src/USER-GFMD/tests
% sh run_tests.sh ../../lmp_g++_openmpi
I had some errors, but it did not look critical. Tests were run without failures
.....
.....
TEST_Hertz_sc100_128x128_a0_1.3
eval.py:83: RuntimeWarning: invalid value encountered in sqrt
pa_xy = np.where(r_xy<a, p0*np.sqrt(1-(r_xy/a)**2), np.zeros_like(r_xy))
.ok.
TEST_restart
.ok.
Ran 20 tests; 0 failures, 20 successes.
While nothing can beat the notoriety of the long-standing LINPACK benchmark, the metric by which supercomputer performance is gauged, there is ample room for a more practical measure. It might not garner the same mainstream headlines as the Top 500 list of the world’s largest systems, but a new benchmark may fill in the gaps between real-world versus theoretical peak compute performance.
The reason this new high performance computing (HPC) benchmark can come out of the gate with immediate legitimacy is because it is from the Standard Performance Evaluation Corporation (SPEC) organization, which has been delivering system benchmark suites since the late 1980s. And the reason it is big news today is because the time is right for a more functional, real-world measure, especially one that can adequately address the range of architectures and changes in HPC (from various accelerators to new steps toward mixed precision, for example).
….. ….. …..
The SPEChpc 2021 suite includes a broad swath of science and engineering codes that are representative (and portable ) across much of what we see in HPC.
– A tested set of benchmarks with performance measurement and validation built into the test harness. – Benchmarks include full and mini applications covering a wide range of scientific domains and Fortran/C/C++ programming languages. – Comprehensive support for multiple programming models, including MPI, MPI+OpenACC, MPI+OpenMP, and MPI+OpenMP with target offload. – Support for most major compilers, MPI libraries, and different flavors of Linux operating systems. – Four suites, Tiny, Small, Medium, and Large, with increasing workload sizes, allows for appropriate evaluation of different-sized HPC systems, ranging from a single node to many thousands of nodes.
The leading semiconductor manufacturer AMD’S Milan-X EPYC series processors could be expected at this conference. Judging from the latest news, this series of processors uses unique 3D V-cache technology (3D caches act as a rapid refresher, it uses a novel new hybrid bonding technique) even before the Vermeer-X consumer product line. The line is based on the Zen3 micro-architecture. We always put AMD vs. Intel in a clash to witness who is better but always ends up with neutral ideas; both AMD and Intel are relentlessly attempting to prove their side is in the better format. Whilst AMD is expected to launch its first machine based on (MCM) (Multi-Chip Module Design), even earlier than NVIDIA GH100 (Hopper) and Intel’s Ponte Vecchio (Xe-HPC).
Between Line 15-19, you may want to edit the path and
# Directory where VMD startup script is installed, should be in users' paths.
$install_bin_dir="/usr/local/vmd-1.9.3/bin";
# Directory where VMD files and executables are installed
$install_library_dir="/usr/local/vmd-1.9.3/lib/$install_name";
Configure and Compile
% ./configure LINUXAMD64
% cd src
% make install
If you are encountering issues like make: *** No rule to make target y.tab.h', needed byvmd_LINUXAMD64′. Stop, try and see whether you have permission issues on the
GNU parallel is a shell tool for executing jobs in parallel using one or more computers. A job can be a single command or a small script that has to be run for each of the lines in the input. The typical input is a list of files, a list of hosts, a list of users, a list of URLs, or a list of tables. A job can also be a command that reads from a pipe. GNU parallel can then split the input and pipe it into commands in parallel.
The Linux Cluster 