Java on the GPU Where are we now? by Dmitry Aleksandrov

preview_player
Показать описание
We will take a look what actually a GPU s. In the beginning we will have a small introduction on how it has evolved throw years. We will see how it can be utilized in the Java world. There will be a small intro to the world of OpenGL. And then we are going to move to CUDA and OpenCL technologies for general purpose massive computations on regular desktops or cloud machines. We will see what are the advantages and what are the main drawbacks.

# Dmitry Aleksandrov
Currently principal expert developer at T-Systems. Over a decade experience mainly in Java Enterprise, but interested in dynamic languages in JVM and experimental features. Open source contributor, blogger. Bulgarian Java User Group co-lead. Conference speaker and organizer.
  1. Devoxx
  2. DV17
  3. Devoxx
Рекомендации по теме
Java On The 0:09:17

Java On The GPU - Inside Java Newscast #58

Java on the 0:50:34

Java on the GPU Where are we now? by Dmitry Aleksandrov

Best Place to 0:00:36

Best Place to Buy a GPU?

Java and GPU 0:47:14

Java and GPU … are we nearly there yet? #JVMLS

java sequence thread 0:00:31

java sequence thread vs gpu

Unlocking the power 0:13:41

Unlocking the power of the GPU with Java

Increase Your FPS| 0:00:20

Increase Your FPS| Increase Your PC Performance|GPU Boost🔥🔥🔥#pctips #fps #tech

How to Use 0:02:21

How to Use Dedicated GPU on Minecraft - Minecraft Not Using Dedicated GPU AMD, Nvidia & Intel

From CPU to 0:43:22

From CPU to GPU and FPGAs: Supercharging Java Applications with TornadoVM #JVMLS

Buying a GPU 0:00:59

Buying a GPU for Deep Learning? Don't make this MISTAKE! #shorts

Want a Free 0:00:34

Want a Free GPU? Do This!

Buy THIS GPU 0:00:44

Buy THIS GPU Instead of That One

the best GPU 0:00:17

the best GPU money can buy (in 2004) #shorts

GPU Programming in 0:15:55

GPU Programming in Java Using OpenCL, Part 1

How Much Can 0:00:41

How Much Can You Sell Your GPU For?

Spend More on 0:01:00

Spend More on CPU or GPU?

Prebuilts with an 0:00:42

Prebuilts with an AMD GPU

[TUTORIAL] How to 0:06:45

[TUTORIAL] How to get Minecraft to use your Dedicated GPU

The Cheat Code 0:00:37

The Cheat Code for GPU Deals

DevoxxUA 2018: Java 1:00:55

DevoxxUA 2018: Java on the GPU. Unlock the massive parallel performance! (Dmitry Aleksandrov)

Rating AMD GPU's 0:00:14

Rating AMD GPU's to buy in 2024.

DON'T Buy The 0:00:13

DON'T Buy The RTX 3050! Get THIS GPU Instead #shorts #tech #gamingpc #pcbuild #nvidia

Java Pre-compute GPU 0:00:13

Java Pre-compute GPU

Java for the 0:02:22

Java for the Haters in 100 Seconds

Комментарии
Автор

Great presentation. I hope Aparapi and future projects continue to work on this, after Brian Goetz pretty much confirmed the death of Project Sumatra.

nO_dNAL
Автор

Cooool, I have to have a look at Aparapi.

norm
Автор

Operating system shared memory and separate / split compilation (CUDA C++11)? Such idea is portable to many other lanuages, not only limited to Java. I am inclined to say that, only a complete in-device programming in CUDA/OpenCL could bring any significant speedups.

piotrlenarczyk