Author

P. Brahma

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Preprint Sep 2026

multi-Stochastic Core Architecture for Scaling Probabilistic Ising Machines

Ising Machines offer vast potential to solve NP-hard optimization problems efficiently that are intractable to solve using conventional computing architecture. A lot of these optimization problems fall into statistical learnability and involve finding an optimal solution among many possible, near-analogous configuratio...

C. Garg, P. Brahma, Saavan Patel et al. · 0 citations

#natural language process... Preprint Sep 2026

AMDKernelVault: Large-Scale Datasets and Agentic Training for AMD GPU Kernel Optimization

We introduce AMDKernelVault, an open HIP and Triton kernel corpus and training framework for recent AMD CDNA GPUs. Existing LLM-based kernel agents are largely CUDA/NVIDIA-centric and often depend on repeated frontier-LLM calls for generation, reflection, and optimization. To address this gap, we develop HIPKernelGen a...

Ji Liu, S. Majumder, Yi-Qing Huang et al. · 0 citations