#cuda

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#gpu-programming
Artificial intelligence
fromHackernoon
2 years ago

This New Language Might Kill NVIDIA's GPU Monopoly | HackerNoon

The shift from CUDA to heterogeneous computing signals a revolution in software design and deployment, unlocking new potentials in performance and efficiency.
Java
fromInfoQ
3 months ago

Bringing GPU-Level Performance to Enterprise Java: A Practical Guide to CUDA Integration

Java can integrate with CUDA to achieve significant performance gains in workloads.
JNI allows developers to connect Java with native CUDA for high-performance tasks.
Understanding concurrency vs multithreading is essential for utilizing CUDA effectively.
GPU computing offers benefits beyond AI, applicable to secure data processing and more.
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