3 papers
cs.CL2026
Litespark Inference For CPUs: Ultra-Fast SIMD Framework for Ternary (1.58-bit) Language Models
Nii Osae Osae Dade, Tony Morri, Moinul Hossain Rahat +2
Large language models (LLMs) have transformed artificial intelligence, but their computational requirements remain prohibitive for most users. Standard inference demands expensive…
quant-ph2026
SpinGQE: A Generative Quantum Eigensolver for Spin Hamiltonians
Alexander Holden, Moinul Hossain Rahat, Nii Osae Osae Dade
The ground state search problem is central to quantum computing, with applications spanning quantum chemistry, condensed matter physics, and optimization. The Variational Quantum E…
cs.LG2025
Litespark Technical Report: High-Throughput, Energy-Efficient LLM Training Framework
Nii Osae Osae Dade, Moinul Hossain Rahat
Training Large Language Models (LLMs) is plagued by long training times and massive energy consumption, with modern models requiring months of computation and gigawatt-hours of ele…