Back in 2000, Ian Buck and a small computer graphics team at Stanford University were watching the steady evolution of computer graphics processors for gaming and thinking about how such devices could ...
Support for unified memory across CPUs and GPUs in accelerated computing systems is the final piece of a programming puzzle that we have been assembling for about ten years now. Unified memory has a ...
Graphics processing units (GPUs) were originally designed to perform the highly parallel computations required for graphics rendering. But over the last couple of years, they’ve proven to be powerful ...
The optimisation of GPU kernels through performance tuning and auto-tuning approaches has become essential in maximising computational efficiency on modern heterogeneous architectures. Researchers ...
NVIDIA has announced that it will transition all GPU-related kernel modules to open source. Cutting-edge modules such as NVIDIA Grace Hopper and NVIDIA Blackwell will be supported only as open source ...
A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...
Project Babylon would extend the reach of Java to foreign programming models such as machine learning models, GPUs, SQL, and differential programming. Java would be extended to foreign programming ...
In an unprecedented move, Silicon Titan Nvidia has made the GPU kernel drivers for Linux open-source, paving the way for wider adoption of team green’s hardware beyond Windows. Nvidia is undoubtedly ...
This course provides an introduction to Kernel programming for the Linux operating system, and the development of Linux kernel drivers for Embedded devices. The Yocto build system is introduced, which ...
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