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 ...
Hosted on MSN
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 ...
AMD is hosting its Fusion Developer Summit this week, and the overarching theme is heterogeneous computing and the convergence of the CPU and GPU. Is shared memory and true heterogeneous computing the ...
Hosted on MSN
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 ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results