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 ...
AMD wants to talk about HSA, Heterogeneous Systems Architecture (HSA), its vision for the future of system architectures. To that end, it held a press conference last week to discuss what it’s calling ...
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 ...
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