#cuda

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#nvidia #gpu #artificial-intelligence #risc-v #gpu-programming #high-performance-computing #gpu-optimization #rocm
Software development
fromWIRED
1 week ago

A Former Apple Luminary Sets Out to Create the Ultimate GPU Software

Modular provides portable GPU optimization software that can outperform vendor tools, but faces adoption, competition from Nvidia/AMD, and customer concerns over added costs.
#nvidia
fromZDNET
2 weeks ago
Artificial intelligence

You can get Nvidia's CUDA on three popular enterprise Linux distros now - why it matters

fromZDNET
2 weeks ago
Artificial intelligence

You can get Nvidia's CUDA on three popular enterprise Linux distros now - why it matters

more#nvidia
#gpu-programming
more#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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