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A 10 year old Xeon is all you need (for 26B-A4B MTP Drafters without GPU)
A 10 year old Xeon is all you need 17 minutes read The previous post covered getting Gemma 4’s MTP drafters quantized and paired with a verifier. This one is about running the result on a machine that has no business running it. I have a recycled server.
Magnum.np.distributed: Accelerating Finite Difference Micromagnetic Simulations with Multiple GPUs
Announce Type: new Abstract: Micromagnetic simulations are essential tools in nanomagnetism and spintronics research. Although widely adopted solvers like Mumax3 and the Python-native magnum.np use GPU acceleration to improve performance, these tools are limited to single-device computation. In this work, we present the first Python-native multi-GPU micromagnetic framework by extending magnum.np with PyTorch Distributed.
Strategies for Molecular Dynamics using Hybrid Systems: LAMMPS Use Case
arXiv:2606.02319v1 Announce Type: new Abstract: The complexity of biomolecular simulations has substantially increased the demand for High-Performance Computing (HPC) infrastructures, particularly in molecular dynamics and coarse-grained modeling. This work presents a systematic performance and scalability analysis of the LAMMPS simulator for coarse-grained biomolecular simulations, using the antimicrobial peptide Tritrpticin (PDB ID: 1D6X) as the experimental workload. Pure MPI and hybrid...
Intel Diamond Rapids to boost core counts to 192, but RIP Hyperthreading
Intel’s upcoming Diamond Rapids Xeon will boost core counts to 192, a 50 percent increase over last generation, the x86 giant revealed at Computex in Taipei this week. But while core counts continue to rise, in doing so Intel has managed to cut thread counts by a quarter. Yep, Hyperthreading – Intel's marketing for simultaneous multithreading – is officially dead.