Source: https://www.hpcwire.com/off-the-wire/e4-announces-the-risc-v-based-monte-cimone-cluster/
It contains 12 mini-ITX motherboards and each board has a SiFive Freedom U740 SoC. I think this means they simply use SiFive Unmatched for the base system. It is fine, as their purpose is not winning TOP500 or such.
”Monte Cimone is the first RISC-V ISA cluster specifically designed, built, and validated for co-design activities targeted to enable its use in the HPC ecosystem and having an operational environment as the primary target.”
It is exactly what a development board is designed for, isn't it?
Cineca, the largest supercomputing center in Italy, have already ported several HPC applications and libraries for verification, and will continue the effort with Monte Cimone. According to the article, for instance, an InfiniBand software stack is being ported on the system thanks to the boards' PCIe slots.
This cluster will help future RISC-V supercomputers in EU as well as other countries. Bravo!
As mentioned in the title, I need a recommendation for a Chromebook that would allow me to compute on my university's computing cluster. Not sure if it's a hitch, but I need to be concurrently connected via VPN to the University network to access the cluster. I don't need touch/tablet flexibility. Besides accessing the cluster via linux/bash, I'll also need to access RStudio.
I'd like to keep the costs below $500 but will entertain suggestions at any price level. If performance in virtual computing is the same, then lower prices are a tiebreaker for preference.
EDIT: Thanks for the suggestions! Non 2-1 recommendations are highly welcomed!
Hi all, not sure if this is the right place to post this but let me know if it isn't.
I just got access to a local computing cluster and one of the first things I did was to try running this numpy benchmark (not my code) to see how it performs.
Without going into too much detail, the cluster consists of multiple nodes, each node with a dual socket E5-2690v3 (12C/24T at 3.5GHz).
I requested a node of 12 cores for a few minutes. Here are the results:
Dotted two 4096x4096 matrices in 4.06 s.
Dotted two vectors of length 524288 in 0.62 ms.
SVD of a 2048x1024 matrix in 4.47 s.
Cholesky decomposition of a 2048x2048 matrix in 0.42 s.
Eigendecomposition of a 2048x2048 matrix in 59.85 s.
libraries = ['mkl_lapack95_lp64', 'mkl_intel_lp64', 'mkl_intel_thread', 'mkl_core', 'iomp5', 'pthread']
10900k:
Dotted two 4096x4096 matrices in 0.39 s.
Dotted two vectors of length 524288 in 0.03 ms.
SVD of a 2048x1024 matrix in 0.18 s.
Cholesky decomposition of a 2048x2048 matrix in 0.05 s.
Eigendecomposition of a 2048x2048 matrix in 2.09 s.
libraries = ['mkl_rt', 'pthread']
You can see that the code runs so much faster on my 10900k. Is this the expected result from running on a cluster? Am I doing something wrongly?
I was wondering how such platforms keep security in check, initially i thought about sending the same thing to multiple computers but i immediately though that if you really want to exploit it you could just fire up a bunch of virtual machines and assign to them different ips with some trickery to exploit the system again
So there is really any why those platforms reliably checked if what was sent back to them was something sent by a computer owned by a very not kind person?
The system precedently described works almost always if and only if there is a huge amount of different computers owned by different people connected to the server to do stuff
I have seen some youtube videos on cluster computing and they all seem to use python scripts. Is it possible to run a non python program on a cluster and get the same performance boost?
Very little learned so far in these two weeks. Luckily I’ve been given logins to an hpc cluster for ‘research’ and I’m being supervised by an hpc researcher. The researcher has asked me to do things that sound really simple but I’m clueless. I’m also embarrassed to ask him how to. Things like checking the C/C++ compilers that the cluster has, which APIs the GPUs have etc. I feel I’m not googling the right things too. Any help?
I've been recently seeing a lot of videos about raspberry pi clusters and have been wondering what they're actually good for. After a bit of research, the best answer I can find is a very generic:
>A computer cluster can provide faster processing speed, larger storage capacity, better data integrity, greater reliability and wider availability of resources. Computer clusters are usually dedicated to specific functions, such as load balancing, high availability, high performance or large-scale processing.
>
>(https://www.virtana.com/glossary/what-is-a-cluster/)
I get using them for scaling, but I was wondering if there are any SPECIFIC workloads that REQUIRE a cluster to function.
TL;DR: What are some work loads that significantly benefit from OR flat out require cluster computing?
I plan on doing bulk optical character recognition (and a few other types of CPU tasks) using 3-5 machines, but would like to cluster them to make them more efficient.
I have no idea how to do this or what I should even be looking at. I saw "ricci" and beowulf clusters and a few tutorials that looked ancient on the net, but I think I need a bit more information before committing to them.
I have a few questions though:
- I typically run Manjaro Linux on all of my boxes (can I keep this)?
- One server has (basically) all the large storage and is running TrueNAS (it has a decent CPU, but I would like it to run TrueNAS) Can this server be used in the cluster?
- One node has all the SSD temporary space used for the OCR process. Would I be able to set that as the target for all reades/writes to the disk, even from other machines?
- What software should I run to achieve my goal?
just curious. How did you get started with it? I assume you have to be involved with a research lab or class that requires it in order to use it.
Disclaimer: I know essentially nothing about how to actually start mining ETH/BTC, but is there anything stopping me from claiming time on my university's computing cluster and learning whatever I need to in order to actually run it? The computing cluster is just GPUs not the specialized machines but still.
For example, is this something that needs to run 24/7?
Any literature on the subject would be greatly appreciated.
What tasks is a supercomputer good at?
What is cluster computing good for?
What is blade computing good for?
Are there alternatives or additional configurations similar to these concepts that could have similar / more specialized purposes?
Are mathematical and simulation environments like CAD programs graphically intense, or maybe just computationally intense? Specifically I am looking at LabVIEW, Altium, CrossStudio / SEGGER Imbedded Studio, AutoCAD, CodeBlocks / Visual Studio, MATLAB, etc, etc.
>The Lawrence Livermore National Laboratory has deployed a new “big memory” high-performance computing cluster dubbed Mammoth that uses chips from Advanced Micro Devices Inc. to help scientists perform COVID-19 research.
Link: https://siliconangle.com/2020/11/04/amd-chips-power-new-big-memory-computing-cluster-lawrence-livermore/
Additional Details: https://www.llnl.gov/news/mammoth-computing-cluster-aid-covid-research
Every year, the Boston University High Performance Computing club puts together a team to compete at the Student Cluster Competition@SC21, an international competition amongst universities around the world. This year, we want to assemble a super-team with members representing multiple colleges around the Boston area. If you are an undergraduate, in any major, who is interested in computational optimizations, testing, and/or performance, we'd love to team up with you!
What is the Student Cluster Competition? > The Student Cluster Competition is an annual competition among undergraduate students who build a computing cluster to pit against other teams. In their own words: > > > >The Student Cluster Competition (SCC) was developed in 2007 to provide an immersive high performance computing experience to undergraduate and high school students. For SC20, the competition has moved to the cloud to accommodate remote participation, becoming the Virtual Student Cluster Competition (VSCC). With sponsorship from vendor partners, student teams design and build virtual clusters in the Microsoft Azure cloud, learn scientific applications, apply optimization techniques for their chosen cloud configurations, and compete in a 72-hour challenge around the world to complete a set of benchmarks and real-world scientific workloads. The VSCC gives teams the opportunity to show off their HPC knowledge for conference attendees and judges. > > > > More info can be found here: https://sc21.supercomputing.org/program/studentssc/student-cluster-competition/ > > > >This year, the competition is held remotely from November 15th to the 18th.
The Team > The team currently consists of 5 members, from BU and BC. We come from a wide variety of backgrounds and have skills in different areas. Many of our members previously competed in the competition and have lots of knowledge and experience to share.
Who are we looking for? > Students from any background who are committed to the team and willing to spend 1-2 hours a week in preparation. > > Knowledge of one or more of the following is a plus, but not required. In fact, many members of the team have little to no experience with the competition, but we are dedicated to learning and gaining expertise.
> * System Administration/Linux
> * Parallel Programming
> * Optimization
> * Message Passing Interface (MPI)
... keep reading on reddit ➡Most of my ETL work is done in pandas, with files stored in daily h5 files "description/yyyymmdd.h5". I usually have a lot of boilerplate to backfill the days etc from the command line. I sometimes use a computing cluster at our firm that can execute several jobs from a DAG described in a yaml. This doesn't play well with a tool like luigi because the cluster doesn't have luigi installed, and luigi can't do parallelization well natively.
Any recommendations ? It is important for me to be able to generate / regenerate the data historically as I iterate over models I'm trying. I usually end up just deleting the h5 files and resubmitting cluster jobs.
I didn’t see it at this link here, but I wasn’t sure if CS fell under one of the Science communities.
Does anyone here have any experience with running Tosca on supercomputers? I can get regular Abaqus analyses to run, but can't seem to figure out how to modify the Slurm script to be able to run optimizations. Any help would be appreciated!
The part I get is that Ethernet is the most common and most versatile cable used in cluster computing. All cluster computers (from improvised Raspberry Pi clusters to Top 500 supercomputers) use network switches.
With the switch, how do operations (calculations, storage, RAM usage) involving the worker nodes interact with other nodes and the master node? If the master node delegates the operations to the worker nodes, how is it done in a way that ensures a continuous equivalent of one extremely powerful computer? What steps are taken to keep latency low? This is to ensure more efficient calculations and other operations. What's the typical and lowest possible latency for cluster computing involving Ethernet?
A user on another subreddit recommended asking my questions here.
I was asked by my employer to start learning Linux cluster computing environment for statistical analysis and computational work. I know statistical analysis in Windows (We mainly use SAS and R).
Can anyone guide me to the proper resources?
Eg one where one can install star and cufflinks and tophat and like all the packages used in https://www.sciencedirect.com/science/article/pii/S0960982218314179#bib4 ?
I know I could have done that in my old astronomy and atmospheric science departments, but what of bioinformatics ones?
Hi,
I have requested my school/research center to install EGSnrc/v2020 for parallel computing. They said they have installed the module (egsnrc/v2020) for me. Then, I have transferred the required files (EGS_HOME) over the HPC clusters and tried to run a sample input file (Beam_simulation). But I got an error (attached snapshot). I dont know why the error occurred and how to fix it (possibly). It would be great help if you have any comments/suggestions. Thanks in advance!
Note: data file 521ICRU should be from HEN_HOUSE and CKM6521 is from EGS_HOME (pegs4)
-Tain
Today the office threw away four identical desktop workstations, I asked if I could take them home instead of throwing them away, and now have this four workstations at home.
My first idea was to cannibalise them to build a better one out of them (they are ok for simple use, but can't run heavy programs such as online games) but suddenly read an article about grid computing and thought that maybe this would have been a better idea.
I have absolutely no idea about what that is, read some articles but I'm still quite confused. As far as I have understood, pc clustering is not ideal, but grid computing is.
My goal is to be able to run heavy programs such as Autodesk Inventor/ World of Tanks/ hearts of iron on them and would like to have an overview about if and how would be possible to achieve that.
I'm not a tech genius, so please, try to keep it as simple as possible. Thanks for your support, hope you have a beautiful day!
