ec2instances.info | Amazon EC2 instance comparison site | AWS library

by vantage-sh HTML Version: Current License: MIT

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kandi X-RAY | ec2instances.info Summary

ec2instances.info is a HTML library typically used in Cloud, AWS applications. ec2instances.info has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

I was sick of comparing EC2 instance metrics and pricing on Amazon's site so I made EC2Instances.info. EC2Instances.info was originally created by Garret Heaton, is now hosted by Vantage and developed by the community of contributors.

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ec2instances.info has a medium active ecosystem.

It has 3494 star(s) with 493 fork(s). There are 85 watchers for this library.

It had no major release in the last 6 months.

There are 100 open issues and 277 have been closed. On average issues are closed in 931 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of ec2instances.info is current.

Quality

ec2instances.info has 0 bugs and 0 code smells.

Security

ec2instances.info has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

ec2instances.info code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ec2instances.info is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

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ec2instances.info releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

It has 9137 lines of code, 57 functions and 14 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

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Community Discussions

Trending Discussions on ec2instances.info

AWS batch limit number of container on single host

Can GraphDB load 10 million statements with OWL reasoning?

QUESTION

AWS batch limit number of container on single host

Asked 2018-May-15 at 13:17

I have some containers with GPU Tensorflow jobs, and, if 2+ of them are executed simultaneously on a single host, only 1 will succeed (2018-05-11 13:02:19.147869: E tensorflow/core/common_runtime/direct_session.cc:171] Internal: failed initializing StreamExecutor for CUDA device ordinal 0: Internal: failed call to cuDevicePrimaryCtxRetain: CUDA_ERROR_ECC_UNCORRECTABLE, i.e. they cannot share GPUs properly).

Perfect scenario would be like following: I have 10 GPU jobs and max 5 containers. First 5 are executed, other 5 wait (at the moment, they don't wait but try to execute and fail), when one finished, 6th immediately starts on the same host, then 7th, 8th, 9th, 10th.

I use p2.xlarge, and set up 4 vCPU and 42000 memory for gpu job. According to ec2instances.info, this machine has 61.0 GiB memory and 4 vCPUs. But, anyway, batch seems to schedule several containers simultaneously, leading to described failure.

So far I tried to play with vCPU and memory parameters, but Batch's scheduler seems to ignore those.

Interesting that relevant ECS task definition has 1/-- as value for Hard/Soft memory limits (MiB), so looks like values from Batch 'job definition' are not propagated to ECS 'task definition'.

Another alternative is to setup a very big number of attempts, but

it's ugly
for long-running jobs even big number might get exhausted
I lose defense from forever-running jobs (e.g. mis-configured)
not sure how that kind of interruption would affect already running Tensorflow jobs

...

ANSWER

Answered 2018-May-11 at 20:31

What is the vCPU and Memory requirement of your Jobs, what are the instance types in your compute environment ?

If you update the vCpu and Memory of your jobs so that only one job can fit in an instance, Batch will schedule your jobs one after the other and not try to run two jobs at the same time.

For example if your Compute environment has p3.16xlarge (64vCpus,488Gib) instances and want to ensure that only one jobs runs in the instance at a time, make sure that the job specifies vCPU > 32 and Memory > 244GB

Source https://stackoverflow.com/questions/50296155

QUESTION

Can GraphDB load 10 million statements with OWL reasoning?

Asked 2018-Jan-16 at 17:28

I am struggling to load most of the Drug Ontology OWL files and most of the ChEBI OWL files into GraphDB free v8.3 repository with Optimized OWL Horst reasoning on.

is this possible? Should I do something other than "be patient?"

Details:

I'm using the loadrdf offline bulk loader to populate an AWS r4.16xlarge instance with 488.0 GiB and 64 vCPUs

Over the weekend, I played around with different pool buffer sizes and found that most of these files individually load fastest with a pool buffer of 2,000 or 20,000 statements instead of the suggested 200,000. I also added -Xmx470g to the loadrdf script. Most of the OWL files would load individually in less than one hour.

Around 10 pm EDT last night, I started to load all of the files listed below simultaneously. Now it's 11 hours later, and there are still millions of statements to go. The load rate is around 70/second now. It appears that only 30% of my RAM is being used, but the CPU load is consistently around 60.

are there websites that document other people doing something of this scale?
should I be using a different reasoning configuration? I chose this configuration as it was the fastest loading OWL configuration, based on my experiments over the weekend. I think I will need to look for relationships that go beyond rdfs:subClassOf.

Files I'm trying to load:

...

ANSWER

Answered 2017-Dec-18 at 16:45

@MarkMiller you can take a look at the Preload tool, which is part of GraphDB 8.4.0 release. It's specially designed to handle large amount of data with constant speed. Note that it works without inference, so you'll need to load your data and then change the ruleset and reinfer the statements.

http://graphdb.ontotext.com/documentation/free/loading-data-using-preload.html

Source https://stackoverflow.com/questions/46891382

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