Accepted paper at ProTools'25 (SC Conference Workshop) titled MT4G: A Tool for Reliable Auto-Discovery of NVIDIA and AMD GPU Compute and Memory Topologies by Stepan Vanecek et al.
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CAPS recently had the pleasure of visiting the German Aerospace Center (DLR) in Oberpfaffenhofen, one of Germany’s largest and most advanced research hubs. Thanks to our colleagues Maron and Cedric—external PhDs at CAPS working at DLR—we got an inside look at how high-performance computing meets…
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This paper presents and evaluates a graph-based, cache-aware multi-core approach for polynomial-based time integration of linear autonomous partial…
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This paper introduces and evaluates virtio-mem, a VIRTIO-based paravirtualized memory device, designed for fine-grained, NUMA-aware memory hot(un)plug…
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