#java #shipilev_team #garbage_collector #ru #jvm #jmm #gc #performance
https://www.youtube.com/watch?v=CnRtbtis79U
https://www.youtube.com/watch?v=CnRtbtis79U
YouTube
Алексей Шипилёв — Shenandoah: сборщик мусора, который смог
Подробнее о Java-конференциях:
— весной — JPoint: https://jrg.su/gTrwHx
— осенью — Joker: https://jrg.su/h7yvG4
— —
. . . . Одна из главных проблем больших Java-приложений — это cбо... рка мусо... ра. Хранение больших куч данных, активно фрагментирующие приложения…
— весной — JPoint: https://jrg.su/gTrwHx
— осенью — Joker: https://jrg.su/h7yvG4
— —
. . . . Одна из главных проблем больших Java-приложений — это cбо... рка мусо... ра. Хранение больших куч данных, активно фрагментирующие приложения…
#java #shipilev_team #garbage_collector #jvm #jmm #gc #performance
https://www.youtube.com/watch?v=VCeHkcwfF9Q&t=909s
https://www.youtube.com/watch?v=VCeHkcwfF9Q&t=909s
YouTube
Shenandoah: The Garbage Collector That Could by Aleksey Shipilev
The major problem for large Java applications is G... (wait for it...) C pauses. Large heaps storing lots of live data, the failure to adhere to generational...
#cqrs #scala #lagom_framework #java #api #ci #microservices #cloud #agile #architercure #performance
https://blog.codecentric.de/en/2017/02/cqrs-event-sourcing-lagom/
https://blog.codecentric.de/en/2017/02/cqrs-event-sourcing-lagom/
codecentric AG Blog
CQRS and Event Sourcing with Lagom - codecentric AG Blog
Lagom is the new microservices framework from Lightbend (formerly Typesafe, the company behind Scala and Akka). The framework and the concepts behind it are heavily based on CQRS (Command Query Responsibility Segregation) and ES (Event Sourcing). This dictates…
#akka #akka_http #gatling #performance_testing #testing #test
http://james-willett.com/2017/08/gatling-introduction/
http://james-willett.com/2017/08/gatling-introduction/
james-willett.com
Gatling Introduction - High Level Overview of the Stress Test Tool
A high level Gatling introduction. Includes a description of the key features that make this stress testing tool stand out.
#scala #java #benchmarks #performance #framework #web #cloud
https://www.techempower.com/benchmarks/#section=data-r17&hw=ph&test=json&l=xan3hb-1
https://www.techempower.com/benchmarks/#section=data-r17&hw=ph&test=json&l=xan3hb-1
www.techempower.com
TechEmpower Framework Benchmarks
Performance comparison of web application frameworks using community-contributed test implementations.
#scala #jvm #performance #compilers #java #graalvm
https://medium.com/graalvm/compiling-scala-faster-with-graalvm-86c5c0857fa3
https://medium.com/graalvm/compiling-scala-faster-with-graalvm-86c5c0857fa3
Medium
Compiling Scala Faster with GraalVM
The Scala compiler is notorious for its long compilation times. This is considered one of the biggest problems in the Scala community at…
#gpu #vs #deep_learning #tensorflow #cuda #multiple_gpu #benchmarks #performance
https://timdettmers.com/2019/04/03/which-gpu-for-deep-learning/
https://timdettmers.com/2019/04/03/which-gpu-for-deep-learning/
Tim Dettmers
The Best GPUs for Deep Learning in 2023 — An In-depth Analysis
Here, I provide an in-depth analysis of GPUs for deep learning/machine learning and explain what is the best GPU for your use-case and budget.
#fp #vs #oop #akka_http #http4s #akka #benchmarks #performance #typelevel #pure #vs #side_effects
https://speakerdeck.com/miciek/fast-and-functional-66b89d68-5d8c-4d2b-9bc2-5fa4adf16734?slide=1
https://speakerdeck.com/miciek/fast-and-functional-66b89d68-5d8c-4d2b-9bc2-5fa4adf16734?slide=1
Speaker Deck
Fast & Functional
In this talk we are going to create a functional and blazingly fast microservice. We will use functional programming abstractions to quickly mix & match different HTTP libraries, state implementations and concurrency configurations. Each step will be followed…
#rust #graphQL #benchmarks #techempower #latency #performance #Robinhood #team #pros #cons
https://www.youtube.com/watch?v=QXJ0wKBLt-8
https://www.youtube.com/watch?v=QXJ0wKBLt-8
YouTube
Rust and GraphQL: A match made in heaven (CHRISTIAN LEGNITTO - Engineering Manager at Robinhood)
Learn GraphQL with Apollo Odyssey, our hands-on training and tutorial course platform - https://odyssey.apollographql.com/
Learn from our Apollo Docs - https://www.apollographql.com/docs/
What’s the easiest way to navigate your schema and query your graph?…
Learn from our Apollo Docs - https://www.apollographql.com/docs/
What’s the easiest way to navigate your schema and query your graph?…
#jpeg #vs #png #vs #gif #dl #training #performance #cnn
https://stats.stackexchange.com/questions/285931/does-the-image-format-png-jpg-gif-affect-how-an-image-recognition-neural-net
https://stats.stackexchange.com/questions/285931/does-the-image-format-png-jpg-gif-affect-how-an-image-recognition-neural-net
Cross Validated
Does the image format (png, jpg, gif) affect how an image recognition neural net is trained?
I'm aware that there's been lots of advances with regards to image recognition, image classification, etc with deep, convolutional neural nets.
But if I train a net on, say, PNG images, will it only
But if I train a net on, say, PNG images, will it only
#jpeg #vs #png #vs #gif #dl #training #performance #cnn
https://stats.stackexchange.com/questions/285931/does-the-image-format-png-jpg-gif-affect-how-an-image-recognition-neural-net
https://stats.stackexchange.com/questions/285931/does-the-image-format-png-jpg-gif-affect-how-an-image-recognition-neural-net
Cross Validated
Does the image format (png, jpg, gif) affect how an image recognition neural net is trained?
I'm aware that there's been lots of advances with regards to image recognition, image classification, etc with deep, convolutional neural nets.
But if I train a net on, say, PNG images, will it only
But if I train a net on, say, PNG images, will it only
#monitoring #ml #dl #promQL #kolmogorov_smirnov_test #prometheus #performance #benchmarks #drift_detection #invalid_valies
https://www.youtube.com/watch?v=07WQL8SJQwg&t=930s&ab_channel=BasisAI
https://www.youtube.com/watch?v=07WQL8SJQwg&t=930s&ab_channel=BasisAI
YouTube
Monitoring machine learning model performance in production systems
BasisAI's Senior Software Engineer, Qiao Han, looks at some of the technical challenges in productionising machine learning, specifically looking at how model performance can be monitored continuously after deployment.
Learn practical techniques in detecting…
Learn practical techniques in detecting…