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 ...
Why GPU memorymatters for CAD,viz and AI. Even the fastest GPU can stall if it runs out of memory. CAD, BIM visualisation, and AI workflows often demand more than you think, and it all adds up when ...
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 ...
In effect, memory becomes a record of the agent's reasoning process, where any prior node may be recalled to inform future ...
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