Over at the Parallel for All blog, Mark Harris writes that Shared memory is a powerful feature for writing well optimized CUDA code. Access to shared memory is much faster than global memory access ...
Harini Muthukrishnan (U of Michigan); David Nellans, Daniel Lustig (NVIDIA); Jeffrey A. Fessler, Thomas Wenisch (U of Michigan). Abstract—”Despite continuing research into inter-GPU communication ...
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Intel borrows AMD feature which could finally mean more allocated RAM for the iGPU for these all-important AI tasks
Intel Shared GPU memory benefits LLMs Expanded VRAM pools allow smoother execution of AI workloads Some games slow down when the memory expands Intel has added a new capability to its Core Ultra ...
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 ...
Intel’s latest Arc graphics driver, version 32.0.101.6987, brings a feature that will interest anyone relying on integrated graphics in certain Core Ultra laptops and desktops. The new setting, called ...
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Intel is following AMD in adding a crucial feature to Core Ultra — especially if you're using local AI
AMD has had a feature on its APUs for a while now that's attractive not just to gamers, but also local AI users; Variable Graphics Memory. Now, Intel is following suit, by adding a similar feature to ...
If large language models are the foundation of a new programming model, as Nvidia and many others believe it is, then the hybrid CPU-GPU compute engine is the new general purpose computing platform.
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