Doug Miles from NVIDIA gave this talk at SC17. "CUDA Unified Memory for NVIDIA Tesla GPUs offers programmers a unified view of memory on GPU-accelerated compute nodes. The CPUs can access GPU ...

Although CUDA automates thread management, it doesn't eliminate the need for developers to think about threads. Rather, it helps the programmer focus on the important issues in understanding the data ...

Programmer Bryan O'Sullivan has a great summary of NVIDIA's new CUDA technology. O'Sullivan actually sat down and did what few of us have done so far, and that's read all the way through NVIDIA's ...

CUDACL also helps the programmer to make CUDA or OpenCL kernel calls inside an existing program. Two scenarios have been successfully implemented to assess the usability and potential of the tool.

Hardware accelerators such as GPGPUs are becoming increasingly common in HPC platforms and their use is widely recognised as being one of the most promising approaches for reaching exascale levels of ...

🚀 The feature, motivation and pitch CUDA 13.0 is released on 8/4, creating issue tracker for CUDA 13.0 binaries enablement. CUDA 13.0 is a major upgrade over CUDA 12, benefits from upgrading in the ...

Never underestimate the passion of a programmer and true geek at heart. That's the lesson to take away from today's story of little Julia, a 12-year-old girl who plays on her school's basketball ...

NVIDIA GeForce RTX 5090 with CUDA capability sm_120 is not compatible with the current PyTorch installation. #3862 ...