Linux kernel Compilation ….The dual Epyc 9554 (64 cores per socket) is 25-30% faster than the top Intel combo, while the Dual 9654 (96 cores per socket) is over 70% faster than the Sapphire Rapids-SP flagship….
Kernel-based Virtual Machine (KVM) …..64-core Epyc 9554 pair is 25% faster than the latter makes it hard to defend the Intel offering. The Xeon Platinum 8490H mostly competes with the last-gen Milan and Milan-X flagships…..
MariaDB and Nginx …..The Genoa parts are faster, with a lead of 10% to 40%, while the 64-core Milan-X deals with Sapphire Rapids….
An interesting article from Scientific American. Accorfing to the article
A team of researchers in China has unveiled a technique that—theoretically—could crack the most common methods used to ensure digital privacy, using a rudimentary quantum computer.
The technique worked in a small-scale demonstration, the researchers report, but other specialists are sceptical that the procedure could be scaled up to beat ordinary computers at the task. Still, they warn that the paper, posted late last month on the arXiv repository, is a reminder of the vulnerability of online privacy.
Learn the basics of Portworx and how it can enable your stateful workloads. This video will discuss the largest fragments of the Portworx platform and how it creates a global namespace to enable virtual volumes for containers.
$ wget https://julialang-s3.julialang.org/bin/linux/x64/1.8/julia-1.8.4-linux-x86_64.tar.gz
$ tar -zxvf julia-1.8.4-linux-x86_64.tar.gz
$ cd julia-1.8.4/bin
$ ./julia
_ _ _(_)_ | Documentation: https://docs.julialang.org
(_) | (_) (_) |
_ _ _| |_ __ _ | Type "?" for help, "]?" for Pkg help.
| | | | | | |/ _` | |
| | |_| | | | (_| | | Version 1.8.4 (2022-12-23)
_/ |\__'_|_|_|\__'_| | Official https://julialang.org/ release
|__/ |
Adding ITensors to Julia
julia> ]
(@v1.8) pkg>
(@v1.8) pkg> add ITensors
Going back to Julia Prompt
julia> using ITensors;
julia> ITensors.compile()
The directory "/home/user1/.julia/sysimages" doesn't exist yet, creating it now.
Creating the system image "/home/user1/.julia/sysimages/sys_itensors.so" containing the compiled version of ITensors. This may take a few minutes.
[ Info: PackageCompiler: Executing /home/user1/.julia/packages/ITensors/fpBnt/src/packagecompile/precompile_itensors.jl => /tmp/jl_packagecompiler_39UDnM/jl_Ob4eph
After sweep 1 energy=-7.313531193678388 maxlinkdim=10 maxerr=9.32E-05 time=22.605
After sweep 2 energy=-7.365742085591064 maxlinkdim=10 maxerr=8.87E-04 time=0.008
After sweep 3 energy=-7.3661068404588725 maxlinkdim=10 maxerr=9.21E-04 time=0.007
After sweep 1 energy=-7.337730647281005 maxlinkdim=10 maxerr=1.75E-04 time=11.838
After sweep 2 energy=-7.366041088098082 maxlinkdim=10 maxerr=9.31E-04 time=0.031
After sweep 3 energy=-7.366112132349537 maxlinkdim=10 maxerr=9.23E-04 time=0.030
[ Info: PackageCompiler: Done
✔ [06m:15s] PackageCompiler: compiling incremental system image
You will be able to start Julia with a compiled version of ITensors using:
```
~ julia --sysimage /home/user1/.julia/sysimages/sys_itensors.so
```
and you should see that the startup times and JIT compilation times are substantially improved when you are using ITensors.
In unix, you can create an alias with the Bash command:
```
~ alias julia_itensors="julia --sysimage /home/user1/.julia/sysimages/sys_itensors.so -e 'using ITensors' -i"
```
which you can put in your `~/.bashrc`, `~/.zshrc`, etc. This also executes
`using ITensors` so that ITensors is loaded and ready to use, you can leave off `
-e 'using ITensors' -i` if you don't want that. Then you can start Julia with a
version of ITensors installed with the command:
```
~ julia_itensors
```
Note that if you update ITensors to a new version, for example with `using
Pkg; Pkg.update("ITensors")`, you will need to run the `ITensors.compile()`
command again to recompile the new version of ITensors.
"/home/user1/.julia/sysimages/sys_itensors.so"
Portworx is the leading container data management solution for Kubernentes. This short video will explain the Portworx value proposition along with some of the differentiating features such as data mobility, application awareness and infrastructure independence.
Traditional methods for performing data reductions are very costly in terms of latency and CPU cycles. The NVIDIA Quantum InfiniBand switch with NVIDIA SHARP technology addresses complex operations such as data reduction in a simplified, efficient way. By reducing data within the switch network, NVIDIA Quantum switches perform the reduction in a fraction of the time of traditional methods.
If you are encountering issues like (especially on CentOS-7)
[user1@node1 7-zip]$ ./7zz
./7zz: /lib64/libstdc++.so.6: version CXXABI_1.3.8' not found (required by ./7zz)
./7zz: /lib64/libstdc++.so.6: versionCXXABI_1.3.9' not found (required by ./7zz)
You need a more recent GNU Compilers rather than the default one used in CentOS-7 which is very old, you may want to compile more recent GNU. Remember to complete the $LD_LIBRARY_PATH and $PATH something like this
This IBM® Redpaper publication describes support for Red Hat OpenShift Container Platform application data protection with IBM Spectrum® Protect Plus. It explains backup and restore operations for persistent volume data by using the Container Storage Interface (CSI) plug-in.
Table of Contents
Chapter 1. Introducing containers Chapter 2. IBM Spectrum Protect Plus architecture Chapter 3. Installing IBM Spectrum Protect Plus as a containerized application Chapter 4. Container Backup Support Chapter 5. Implementing Container Backup Support Chapter 6. Using Container Backup Support Chapter 7. Red Hat OpenShift cluster disaster recovery solution
The Linux Cluster 